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An economic model of long-term use of celecoxib in patients with osteoarthritis



Previous evaluations of the cost-effectiveness of the cyclooxygenase-2 selective inhibitor celecoxib (Celebrex, Pfizer Inc, USA) have produced conflicting results. The recent controversy over the cardiovascular (CV) risks of rofecoxib and other coxibs has renewed interest in the economic profile of celecoxib, the only coxib now available in the United States. The objective of our study was to evaluate the long-term cost-effectiveness of celecoxib compared with nonselective nonsteroidal anti-inflammatory drugs (nsNSAIDs) in a population of 60-year-old osteoarthritis (OA) patients with average risks of upper gastrointestinal (UGI) complications who require chronic daily NSAID therapy.


We used decision analysis based on data from the literature to evaluate cost-effectiveness from a modified societal perspective over patients' lifetimes, with outcomes expressed as incremental costs per quality-adjusted life-year (QALY) gained. Sensitivity tests were performed to evaluate the impacts of advancing age, CV thromboembolic event risk, different analytic horizons and alternate treatment strategies after UGI adverse events.


Our main findings were: 1) the base model incremental cost-effectiveness ratio (ICER) for celecoxib versus nsNSAIDs was $31,097 per QALY; 2) the ICER per QALY was $19,309 for a model in which UGI ulcer and ulcer complication event risks increased with advancing age; 3) the ICER per QALY was $17,120 in sensitivity analyses combining serious CV thromboembolic event (myocardial infarction, stroke, CV death) risks with base model assumptions.


Our model suggests that chronic celecoxib is cost-effective versus nsNSAIDs in a population of 60-year-old OA patients with average risks of UGI events.

Peer Review reports


Nonselective nonsteroidal anti-inflammatory drugs (nsNSAIDs) are widely used to treat acute and chronic pain, including the symptoms of osteoarthritis (OA). The most clinically important adverse events associated with nsNSAID use, ulcer perforations, obstructions, and bleeds (collectively POBs), can be life-threatening and constitute a major public health problem with a large cost to society [13]. Uncomplicated peptic ulcers and dyspepsia are not as important clinically as POBs, but, because they are the most prevalent nsNSAID adverse events, their total impact in healthcare costs, activity restrictions, production losses, pain, and discomfort is considerable [410].

The cyclooxygenase-2 selective inhibitor celecoxib reduces the risks of nsNSAID-induced gastropathy without compromising clinical efficacy. However, evaluations of the cost-effectiveness of celecoxib have produced conflicting results owing mainly to differences in model structures, populations at risk, probabilities, cost-effectiveness indicators, and relative drug prices across countries.

The objective of our study was to evaluate the cost-effectiveness of the long-term use of celecoxib compared with nsNSAIDs in a population of 60-year-old OA patients with average risks of upper gastrointestinal (UGI) complications who require chronic daily NSAID therapy. We assume that acetaminophen is contraindicated or otherwise inferior to NSAID therapy in these patients. Ours is the only coxib evaluation that uses UGI ulcer probabilities from a population comprised only of OA patients, and accounts for reductions in the prices of celecoxib and over-the-counter (OTC) omeprazole after loss of patent protection. Although there have been other lifetime coxib models, only ours extrapolates probabilities and models health states based on long-term evidence from the literature and evaluates celecoxib independently [1113]. In sensitivity testing, the distinctive features of our study are its evaluations of a comprehensive indicator of serious cardiovascular (CV) thromboembolic risk, alternate treatment regimens after UGI adverse events, and differences in the lengths of the analytic horizon.


Cost-effectiveness analysis is used to compare celecoxib (Celebrex, Pfizer Inc, USA) at 200 mg/d, the recommended OA dose, with a combination of diclofenac at 100 mg/d and naproxen at 1000 mg/d. The target population is 60-year-old patients with moderate to severe OA requiring chronic daily NSAIDs. The outcomes of the model are incremental costs per quality-adjusted life-year (QALY) gained from reductions in symptomatic peptic ulcers, perforations, obstructions, bleeding ulcers (collectively PUBs), and nonulcer dyspepsia. CV thromboembolic events and efficacy in relieving OA symptoms are excluded in the base model on the assumption that there are no differences in these outcomes between celecoxib and nsNSAIDs [1417].


The structure of the model used in this study is presented in Figure 1. The problem is structured in Microsoft Excel 2002 as a decision tree with 21 one-year periods. Our literature-based UGI adverse events were comprised of discrete and short-duration NUD, POB and peptic ulcer events in some patients and long-term chronic NUD and PUD health states in others. The model allowed for multiple POB and PUB events to recur in time for patients whose short-term discrete events were initially resolved. Patients on nsNSAIDs switch in perpetuity to celecoxib and patients in both cohorts add chronic daily omeprazole after experiencing nonulcer dyspepsia-like symptoms or a PUB event [12]. This assumption recognizes the heightened UGI risks after PUB events, which compound older patients' already high cumulative risks with long-term nsNSAID therapy, the risk that nonulcer dyspepsia might progress to a peptic ulcer, and the potential benefits from symptom relief [1, 18, 19]. In sensitivity analysis, we include 4 alternate post-event treatment approaches also used in clinical practice.

Figure 1

Schematic representation of the study model. nsNSAID, nonselective nonsteroidal anti-inflammatory drug; NUD, nonulcer dyspepsia-like composite; OA, osteoarthritis; PPI, proton pump inhibitor; POB, perforation, obstruction, bleeding ulcer; UGI, upper gastrointestinal.

A lifetime analytic horizon is used because many OA sufferers are long-term NSAID users, with high cumulative risks of gastropathy, and some adverse events in the model affect health states for extended periods [20]. Our societal perspective, modified to exclude indirect costs, does not differentiate between patient and insurer costs and is compatible with our use of a lifetime horizon.

We assume that all members of the celecoxib and nsNSAID treatment groups are aged 60 years at the outset and all die in the base model at age 81 years, except those with an adverse gastrointestinal (GI) event resulting in premature death before the end of the 21-year lifetime horizon [12].

We conducted literature searches to obtain representative clinical adverse event rates and information on the long-term courses of health states after adverse events. We sought UGI adverse event rates for patients using the doses of celecoxib and nsNSAIDs recommended for OA patients. Celecoxib is more commonly used for the treatment of the symptoms of OA rather than rheumatoid arthritis. Our search strategies are outlined in more detail in Appendix I.


Our probabilities for POBs and peptic ulcers are based on event rates in the Successive Celecoxib Efficacy and Safety Study-1 (SUCCESS), the only celecoxib clinical trial that was conducted in a population of OA patients and that used POBs and PUBs as end points [16]. This 12-week trial with a total of 13,274 patients allowed the use of concomitant aspirin (7.1% baseline prevalence) but excluded high-risk patients with active or recent GI disease, histories of multiple peptic ulcers, various other comorbidities, and those requiring corticosteroids or chronic gastroprotective agents. Patients with a previous history of ulcers comprised 4.1% of the SUCCESS population, about half the proportions in 2 other major coxib clinical trials, the Celecoxib Long-Term Arthritis Safety Study (CLASS) [21] and the Vioxx Gastrointestinal Outcomes Research study (VIGOR) [22].

The model's POB probabilities per 100 patient-years are 0.8 for nsNSAIDs and 0.1 for celecoxib, representing a crude relative risk reduction (RRR) for celecoxib of 0.875 [16]. This RRR is consistent with those from a pooled analysis of 14 arthritis clinical trials and a 42-week retrospective cohort study of hospitalized POBs [23, 24]. Our symptomatic ulcer probabilities per 100 patient-years adapted from SUCCESS are 1.2 for nsNSAIDs and 0.9 for celecoxib (RRR = 0.25).

The base model extrapolates these probabilities over 21 years to calculate POB cumulative incidence rates of 15.5% for the naproxen-diclofenac combination and 2.1% for celecoxib, and respective peptic ulcer rates of 22.4% and 17.3% (Table 1) [2429]. Our assumption that risks are constant over time, which is intended to produce a conservative base-case incremental cost-effectiveness ratio (ICER) for celecoxib, is relaxed in sensitivity testing to allow, more realistically, for increased risk with advancing age. Patients who experience a PUB event in the model are assumed to be 2.7 times more likely than others to suffer a future peptic ulcer or POB [18, 25, 28, 30, 31].

Table 1 Clinical probabilities

The nonulcer GI adverse events of NSAIDs, consisting of dyspepsia (upper abdominal pain or discomfort), nausea, diarrhea, heartburn, constipation, and flatulence, are relevant to economic evaluations because they diminish patients' quality of life and result in increased treatment costs. However, we model only for dyspepsia-like symptoms (including nausea), mainly due to data limitations.

Our clinical probabilities for dyspepsia-like symptoms of 12.0% (95% confidence interval [CI], 9.9%–14.0%) for an nsNSAID and 7.8% (95% CI, 6.0%–9.5%) for celecoxib 200 mg/d are based on moderate to severe dyspepsia, abdominal pain, or nausea event rates in a pooled analysis of trials in arthritis patients (Table 1) [32]. We adopt these probabilities for our lifetime horizon based on findings that cumulative incidence curves for dyspepsia begin to plateau in trials, may be essentially flat beyond a year, and are unaffected by aging [3234]. A second pooled analysis comparing OA patients taking celecoxib 200 mg/d or an nsNSAID found near-identical relative risks (RR) for a similar composite dyspepsia-like end point [35].

QALYs, utilities, and durations of health states

We assume a base utility value of 0.67 for OA patients without UGI problems and apply utility adjustments for adverse events as deductions from the base (Table 2) [36, 37]. The base utility value of 0.67 reflects the fact that the average health of older OA patients, who have a high prevalence of comorbid conditions, is considerably below perfect health, which carries a utility value of 1.0. The annual adjustments for adverse events are the product of the loss of utility from the adverse event and the length of the associated health state expressed as a fraction of a year.

Table 2 Utilities and QALY losses for simple health states

Our disutilities of 0.13 for dyspepsia and peptic ulcers are based on individuals with moderate to severe dyspepsia aged 59 years or more [38]. We corroborated this peptic ulcer disutility by comparing differences in average Health Utility Index values for older OA patients with and without ulcers in a large Canadian database [39]. Disutilities for hospitalized cases were adapted from the literature, with the lengths of inpatient POB and peptic ulcer health states set at averages for such cases in a Maryland hospital database [40, 41]. We factored in additional disutilities for 35% of POB patients with assumed prior symptoms of dyspepsia [4245].

NSAID-associated nonulcer dyspepsia consists of single events, series of periodic events, or essentially continuous symptoms. Our modeling assumption is that 55% of dyspepsia patients experience chronic daily symptoms, whereas the remaining patients experience a single 35-day episode of symptoms [12, 4654]. The long-term proportion assumed to be chronic is consistent with the findings of 2 systematic reviews and other long-term studies [33, 52, 55, 56].

The long-term course of peptic ulcer disease is complex, with high rates of peptic ulcer and ulcer-symptom recurrence and chronicity [4, 12, 46, 54, 5759]. Our simplified modeling assumption is that the combined point prevalence of patients with active symptomatic ulcers and postulcer symptoms is 50% of lifetime prevalent ulcers developed over the analytic horizon of the model [60]. This means that the cumulative incidence rate in our model would average 6.1% over the analytic horizon in patients in the nsNSAID treatment arm compared with 4.7% in those in the celecoxib treatment arm.

To test this assumption, we analyzed the prevalence of ulcers among OA patients over the age of 59 years as determined by a Canadian population-based survey [39]. Seven percent of such patients reported having a current physician-diagnosed ulcer of at least 6 months' duration. This means that the steady state prevalence in a population of OA patients in the community, who are not necessarily NSAID users, exceeds the average prevalence for NSAID users in our base model.

Costs and other data

We assume that generic celecoxib will be available in 2013, the year of patent expiry, and that the price will be 55% lower than that of Celebrex, with a range of 30% to 80% for sensitivity testing (Table 3) [6164]. We employ only the estimated generic price in our model after mid 2013. This is consistent with our approach of using prices of generic nsNSAIDs and OTC omeprazole in the model.

Table 3 Cost* and other data summarized

Average inpatient hospital costs, lengths of stay, and various hospital statistics were derived from a Maryland inpatient database [40]. We employed principal diagnosis codes and diagnosis-related groups to identify relevant cases and restricted our analyses to patients aged 60 years or more. In the Maryland system, each hospital's charges are based on standardized overhead allocation methods, regulated to reflect the costs (including capital) of services provided, and charge rates apply to all payers without discrimination or discounting. The average cost per adjusted admission in Maryland approximates the national average.


Incremental treatment costs and benefits of $4,055 and 0.1304 QALYs resulted in a base-case celecoxib versus nsNSAID ICER of $31,097 per QALY, which falls within the range normally considered to be cost-effective (Table 4). The 21-year treatment costs for average patients in the celecoxib and nsNSAID initial treatment groups were $14,151 and $10,096, respectively, whereas the corresponding QALYs were 10.2982 and 10.1678.

Table 4 Base model ICER

Sensitivity testing


One-way sensitivity analysis results for clinical and economic variables showed that the ICER rose above $60,000 per QALY (our standard for cost effectiveness) for only 2 of the variables when ranged over the values in Tables 1, 2, or 3, the nsNSAID peptic ulcer and POB probabilities [65]. Other relatively influential variables in 1-way analyses were (in descending order of influence): the celecoxib price, and the event probabilities for a celecoxib peptic ulcer, nsNSAID dyspepsia, and a celecoxib POB.

Univariate analysis of the sensitivity of the ICER to proportional changes in economic and clinical variables identified the following important variables listed in declining order of their impact on the ICER, along with their threshold values and the proportional changes in each required to attain threshold: celecoxib cost per pill, $3.72 (+41%) and 21-year probabilities of nsNSAID dyspepsia, 0.0743 (-38%); nsNSAID peptic ulcer, 0.126 (-44%); nsNSAID POB, 0.061 (-61%); and celecoxib dyspepsia, 0.1295 (+66%). Hence, the results are robust for all but very large proportional changes.

In addition to the above sensitivity analysis for uncertainty, we assessed variants of the base model in which: 1) risks of PUBs increase with age; 2) the length of the analytic horizon is varied; 3) treatment regimens are altered after adverse events; and 4) different serious CV thromboembolic risks are assumed.

Risks with aging

Advanced age is a well-documented risk factor for PUBs [1, 3, 31, 6670]. In this sensitivity analysis, we assumed that PUB risks increase by 4.3% per year after age 60 years [18, 25, 27, 28, 71, 72]. The assumption implies that PUB risks at age 81 years are 2.3 times those at baseline for patients aged 60 years.

The ICER declined to $19,309 when age-related increases in PUB risks were factored into the base-model assumptions (Table 5). The cumulative incidence rates were 28.3% for PUBs in the celecoxib initial treatment group and 48.9% in nsNSAID group, with corresponding POB cumulative incidence rates of 3.3% and 23.4%, respectively. When dyspepsia was included, about 60.9% of nsNSAID patients had at least 1 UGI adverse event over the analytic horizon compared with 36.1% of celecoxib patients.

Table 5 Summary of base model and special sensitivity analysis results

Analytic horizon

The ICER declined 74.9% from $124,100 for a 1-year model to $31,097 for the 21-year model without age risks (Table 5). In the absence of the patent expiration effect, the ICER would have decreased 53.8% from $124,100 to $57,363 in a 21-year model. The ICER declined below $60,000 per QALY as of year 13 of the analytic horizon in the base case, and year 11 in the sensitivity analysis in which the risk of a PUB event increased with advancing age.

Alternative treatment approaches after a UGI adverse event

The base model switched patients initially taking celecoxib or an nsNSAID to regimens of celecoxib plus a proton pump inhibitor (PPI) after dyspepsia or a PUB, an approach that is clinically reasonable given the elevated risks of PUBs and perhaps death after such events. In sensitivity analysis, we also assessed 4 alternate secondary strategies to determine whether the ICER for celecoxib versus an nsNSAID would remain below $60,000 per QALY for other possible postevent treatment regimens.

The 4 alternate treatment strategies were: 1) all patients continue on their original treatment regimen, after undergoing temporary courses of PPI healing therapy for PUBs and Helicobacter pylori eradication therapy, as necessary; 2) all patients continue on celecoxib or their nsNSAID and commence PPI cotherapy for the rest of their lives after PUBs; 3) all nsNSAID patients switch to celecoxib plus PPI and celecoxib patients add a PPI for the rest of their lives post-PUB, but nonulcer dyspepsia patients continue on their original treatment regime; and 4) all nsNSAID patients add a PPI after PUBs with all other treatments unchanged after events.

Celecoxib is cost-effective at the sub-$60,000 per QALY level for models incorporating each of the 4 post event treatment regimens (Table 5) [37, 50, 7377]. Clinical probabilities were not sufficiently robust to support a full comparison of ICERs between the alternate regimes.

Depletion of susceptibles

We also tested an alternate assumption that our SUCCESS POB probabilities were too high for constant-risk extrapolation in our model owing to depletion of susceptibles, the theory that risks are higher in the first few months of NSAID use. The ICER in the base case rose to $40,841 per QALY in a base case model with a 30% reduction in POB risks. The ICER further rose to $45,955 per QALY when we extended the 30% reduction to peptic ulcer probabilities and POBs.

Risks of serious CV thromboembolic events

Our serious CV thromboembolic event (myocardial infarction [MI]), stroke, CV death) costs, and disutilities take into account the impact of the initial event and of subsequent effects, as described in more detail in Appendix II.

Our probabilities of such events are based on a meta-analysis of serious CV thromboembolic risk that found event rates of 1.01 per 100 patient-years in celecoxib patients and 1.23 per 100 patient-years in nsNSAID users, with a RR of 0.86 (95% CI, 0.59–1.26) [15]. The ICER in our model declines to $17,120 per QALY when these risks are included, and our results were robust when the RR was varied over all but the extreme upper end of the 95% CI.


We conducted a cost-effectiveness analysis of long-term celecoxib use compared with nsNSAID use in OA patients. Some of our key assumptions, not adequately addressed in previous models, include a more realistic analytic horizon for UGI adverse events in OA patients with extrapolation and health states based on long-term evidence from the literature, prescription drug prices influenced by termination of patent protection, and ulcer probabilities derived from an OA population.

Our base-case celecoxib ICER of $31,097 per QALY suggests cost-effectiveness for 60-year-old OA patients with average baseline UGI risks, 7.1% of whom were taking aspirin for cardioprophylaxis. The ICER declines to $19,309 when account is taken of the increase in PUB risks with advancing age. The ICER, including risks of serious CV thromboembolic events, is $17,120 for a model without age-related risks, and ICERs ranged from $38,807 to $46,192 per QALY in sensitivity analysis with alternate post adverse event treatment strategies.

Our model suggests that the use of short analytic horizons to evaluate long-term celecoxib therapy in OA patients results in biased findings [20, 78, 79]. The diverging cumulative incidence of PUBs in patients in our model's 2 initial treatment groups results in progressively larger differences between comparators' incidences of subsequent PUB events, their ongoing disutilities from chronic peptic ulcers, and their continuing expenses from higher-cost post-PUB treatment regimens. Additionally, truncated horizons neither capture the full QALY impact of the higher mortality rates in nsNSAID patients nor take into account future celecoxib patent expiration and the related price decreases. Finally, if the risk of PUBs increases with advancing age, as the evidence suggests, the impact of this factor would be muted by short analytic horizons.

Previous coxib evaluations do not appear to have accounted for the patent expiration of celecoxib in 2013 or that of omeprazole in 2002, although PPIs are important drivers of costs in some models and the current OTC price represents a reduction of more than 75% in the United States.

Our main results are based on regimens of daily nsNSAIDs, whereas intermittent therapy provides adequate relief of OA symptoms for some users of chronic nsNSAIDs in the community. Additionally, some candidates for continuous nsNSAID therapy may interrupt treatment periodically as a strategy to lower MI and stroke risks, even though they suffer disutilities from symptom relief foregone during washout periods. Published coxib evaluations have assumed continuous nsNSAID use because evidence-based probabilities for intermittent treatment regimens are unavailable and myriad patterns of intermittent use are possible [80].

We assessed frequent but intermittent nsNSAID use, which we defined as a minimum of 104 days of therapy per year or approximately 2 days per week for 52 weeks. Our celecoxib versus nsNSAID ICERs were $43,000 per QALY or lower depending on the assumed behavior of UGI risks during intermittent use, number of therapy days, and other factors. Hence, our model's results are not contingent on a restrictive assumption of continuous use.

Six evaluations from Europe, Asia, and Canada suggest a favorable economic profile for celecoxib [13, 8185]. However, 5 of these studies with a similar evaluation framework incorporate nsNSAID ulcer probabilities considerably higher than those in the major trials, and international differences in drug prices and health system costs also limit the scope for generalizing these findings to other countries [16, 21, 22]. Two American studies suggest that celecoxib may be cost-effective compared with an nsNSAID [86, 87].

Conversely, an influential American study evaluating a celecoxib-rofecoxib hybrid and a Canadian study comparing celecoxib with ibuprofen and diclofenac produced base-case ICERs far outside ranges considered to be cost-effective, although both found that coxibs might be cost-effective in high-risk populations [12, 37]. These 2 studies of OA and rheumatoid arthritis patients not taking low-dose aspirin relied on controversial longer-term follow-up findings from the CLASS trial for critical assumptions [8895]. These assumptions from CLASS, the earliest celecoxib trial with both POBs and PUBs as end points, conflict with current evidence, including findings from subsequent coxib trials.

Differences in assumptions and model parameters created most of the inconsistencies between the results of the American study by Spiegel and coauthors and our findings. Our model used the SUCCESS trial results as the basis for the key celecoxib and nsNSAID ulcer probabilities, whereas Spiegel used those for a coxib hybrid with predominant weightings from rofecoxib trials and CLASS, with its supratherapeutic doses of celecoxib. More important, Spiegel's results were driven by an assumption that the annual new patient incidence of PUBs would decrease by 35% per year over its entire 21-year analytic horizon. This pivotal assumption was based on a special-case comparison of the POB incidence rates of nsNSAID patients in the first 6 months and the remaining observational period of the CLASS trial [12]. Under the assumed decay function, the cumulative incidence rate of PUBs in nsNSAID patients was 2.6% in the first year and totaled only 7.2% in the 21-year horizon of the Spiegel model. In contrast, the 21-year incidence rate of 34.6% in our base model was almost triple the upper end of the range in Spiegel's sensitivity test. The differences in the ulcer probabilities are the most important difference between the Spiegel model and the model reported here. Other limitations of the Spiegel model are that it did not take into account any of the following: increases in UGI risks from the aging of its cohorts over the 21-year analytic horizon, increased UGI risks after PUB events, and the price reductions from the expiries of patents on celecoxib and omeprazole.

The data in our review of coxib and nsNSAID trials ranging in duration from 1 to 3 years support the generalization that PUB and POB risks are constant in long clinical trials [22, 30, 31, 96, 97]. Hence, we believe that the weight of previous and newer trial evidence supports the conclusion of the CLASS authors and others that the POB and PUB event rates observed in nsNSAID patients in the longer follow-up portion of CLASS are biased and that the decline in POB rates in this trial was aberrant [66, 88, 93, 94, 98]. The long-term decay function in the Spiegel model also conflicts with evidence from observational studies ranging in length from 2 to 15 years [2529, 99102].

The use of ulcer event rates from the longer-term CLASS trial is 1 reason for the inconsistency of Maetzel and colleagues' Canadian model with our results [37, 80]. The RRRs in PUB rates range from 47% to 50% for coxibs versus nsNSAIDs in typical trials [16, 22, 96, 97]. However, for celecoxib compared with diclofenac and ibuprofen, Maetzel's PUB RRs from the CLASS trial were 0.975 and 0.362, respectively (versus our 0.50 compared with nsNSAIDs) and his POB RRs were 0.917 and 0.386, respectively (versus our 0.125 compared to nsNSAIDs) [37, 80]. Additionally, Maetzel assumed relative dyspepsia risks of 1.00 (versus our 0.65) and relative MI risks of 1.39 to 1.44 (versus our equality of serious CV thromboembolic event risks). Other important differences between the Maetzel model and ours are its 5-year horizon and absence of patent expiration effects, lower probabilities of death from initial compared with repeat POBs, and withdrawal of 95% of POB patients from further NSAID treatment [37, 80].

Probabilities obtained from the SUCCESS trial and our modeling decisions tend to be conservative. Relevant decisions include the assumed independence of PUB risks and age in the base model and the exclusion of indirect costs. The doses used in the SUCCESS trial tended to favor nsNSAIDs: one half the celecoxib patients received double the dose recommended for OA patients, whereas the 100-mg daily diclofenac dose was less than the maximum dose approved for OA patients in participating countries [16, 18, 21, 23, 103]. Also, diclofenac, the main comparator in the SUCCESS trial, is one of the less toxic nsNSAIDs [104, 105].

The results of our model cannot necessarily be generalized to all populations of OA patients. Furthermore, our results are contingent both on the validity of the short-term probabilities in the model and of our approach to extrapolating them over a 21-year period. Although extrapolation is commonly employed in, and generally recommended for, cost-effectiveness analyses of pharmaceuticals, it engenders uncertainties that increase with the length of the period [106].

According to 3 competing theories, CV thromboembolic risks may be associated with individual NSAIDs, coxibs as a class, or all nonaspirin NSAIDs as a class. Incremental cost-effectiveness analysis as employed in this article deals only with differences in risks between nsNSAIDs and celecoxib.

One limitation of the clinical trials in which celecoxib versus nsNSAID CV thromboembolic events have been studied to date, including those in the meta-analysis we used to account for possible differences in CV risks, is that none were originally designed for the primary purpose of assessing differences in these events between treatment groups and they tend to be underpowered for this purpose. Furthermore, the follow-up periods in most of the clinical trials in the meta-analysis that we used were shorter than one year in duration. However, longer observational studies of CV risk are consistent with a similarity of celecoxib and nsNSAID risks, even though they often employ MI end points, which generally favor nsNSAIDs in clinical trials [107121]. Current evidence about relative CV thromboembolic risk is controversial and does not exclude the possibility that celecoxib at OA doses is associated either with elevated or decreased risks of CV thromboembolic events versus nsNSAIDs.


Our model suggests that the long-term use of celecoxib is cost-effective versus nsNSAIDs in a population of 60-year-old OA patients with average risks of UGI events.

Appendix 1 – literature search strategy

To obtain clinical probabilities for symptomatic ulcers and POBs, we searched PUBMED for all clinical trials comparing celecoxib versus nsNSAIDs at recommended doses for the treatment of OA patients with symptomatic peptic ulcers or ulcer complications as end points. Key words used in the search were "clinical trial" or "RCT" (randomized clinical trial); "osteoarthritis"; "celecoxib," "ulcer," "hemorrhage," "haemorrhage," "bleed," "bleeding," "perforation," "POB," "PUB", or "PUD" (peptic ulcer disease). We reviewed the resultant abstracts, obtained the full articles as warranted, and reviewed article references. SUCCESS was the only clinical trial with the required end points that exclusively involved OA patients. The SUCCESS trial partially fulfilled our dosage objective, but one half of the celecoxib patients received double the 200-mg daily dose recommended for OA patients.

Articles were identified on 2 other clinical trials with some relevance, but both included OA and rheumatoid arthritis patients and also proved to be inferior matches in other respects [21, 23]. We excluded the CLASS study from all PUB analyses owing to controversies associated with the study's ulcer-related results, and its use of 800 mg/d celecoxib doses, which are quadruple the dose recommended for OA patients. We compared POB RRs from SUCCESS with those from the second best match, an article on a pooled study of randomized clinical trials. However, this article did not report event rates for symptomatic peptic ulcers or PUBs.

We also searched for observational studies that most closely matched our criteria, given the dearth of relevant celecoxib clinical trial data to compare with SUCCESS probabilities. We wanted insights into adverse event rates in the community, and POB or PUB rates over longer periods. Two case control studies involving celecoxib were identified, one with average-risk patients and another with high-risk patients [24, 122]. Only the former was pertinent to the current analysis.

For clinical probabilities of dyspepsia, we sought articles on clinical trials involving OA patients and comparing nsNSAIDs and celecoxib at doses normally used in OA patients, with relatively comprehensive definitions of dyspepsia, including related UGI symptoms, but excluding heartburn as a dominant symptom. Our search used key words "clinical trial" or "RCT," "dyspepsia," "abdominal pain," "UGI discomfort" or "NUD," "celecoxib," "NSAIDs," and "arthritis." We identified 3 articles, but the article based on CLASS was eliminated because supratherapeutic doses of celecoxib were used [32, 34, 35].

Various other searches were conducted including systematic searches on PubMed for all articles on the risks and courses of dyspepsia, peptic ulcers, POBs, strokes and MIs over extended periods. The objectives were to determine, based on the best available evidence, how to model the period prevalence rates, annual incidence rates, and durations of events over our analytic horizon, which extends far beyond the durations of clinical trials. We searched the literature systematically and manually for multivariate analyses of the risk factors for peptic ulcers and POBs, focusing especially on analyses with age as a continuous variable or with multiple categorical age interval variables. We also systematically reviewed other analyses powered to provide breakdowns of RRs by age.

The searches for UGI events were last conducted in January 2005.

Appendix 2 – costs and disutilities of CV thromboembolic events

Health sector costs for first MIs or strokes included initial hospitalizations, ongoing maintenance costs, and forecasted excess costs of future care [40, 123130]. Among survivors, QALY decrements consisted of losses from initial hospital stays, ongoing postevent disutilities of 0.05 for MI survivors and 0.25 for stroke survivors, plus loss of life expectancy assuming that mortality rates by age for survivors were double the rates for the general population [37, 39, 131141]. The impacts of first-in-model events on patients with a history of MI or stroke at baseline reflected patients' premodel reductions in life expectancy, utilities, and higher health sector costs [142144]. The risks of CV thromboembolic events were assumed to increase 5% per year in sensitivity analyses that also assumed age-related increases in the risks of UGI adverse events.


  1. 1.

    Dubois RW, Melmed GY, Henning JM, Bernal M: Risk of upper gastrointestinal injury and events in patients treated with cyclooxygenase (COX)-1/COX-2 nonsteroidal antiinflammatory drugs (NSAIDs), COX-2 selective NSAIDs, and gastroprotective cotherapy. An appraisal of the literature. J Clin Rheumatol. 2004, 10: 178-189. 10.1097/01.rhu.0000128851.12010.46.

    PubMed  Google Scholar 

  2. 2.

    Smalley WE, Griffin MR, Fought RL, Ray WA: Excess costs from gastrointestinal disease associated with nonsteroidal anti-inflammatory drugs. J Gen Intern Med. 1996, 11: 461-469. 10.1007/BF02599040.

    CAS  PubMed  Google Scholar 

  3. 3.

    Wolfe MM, Lichtenstein DR, Singh G: Gastrointestinal toxicity of nonsteroidal antiinflammatory drugs. N Engl J Med. 1999, 340: 1888-1899. 10.1056/NEJM199906173402407.

    CAS  PubMed  Google Scholar 

  4. 4.

    Ashton T: Cost-effectiveness of alternative medications in the treatment of duodenal ulcer. Scand J Gastroenterol. 1991, 26: 82-88.

    CAS  PubMed  Google Scholar 

  5. 5.

    Griffin MR: Epidemiology of nonsteroidal anti-inflammatory drug-associated gastrointestinal injury. Am J Med. 1998, 104: 23S-29S. 10.1016/S0002-9343(97)00207-6.

    CAS  PubMed  Google Scholar 

  6. 6.

    Henke CJ, Levin TR, Henning JM, Potter LP: Work loss costs due to peptic ulcer disease and gastroesophageal reflux disease in a health maintenance organization. Am J Gastroenterol. 2000, 95: 788-792. 10.1111/j.1572-0241.2000.01861.x.

    CAS  PubMed  Google Scholar 

  7. 7.

    Logan R, Delaney B: ABC of the upper gastrointestinal tract: implications of dyspepsia for the NHS. BMJ. 2001, 323: 675-677. 10.1136/bmj.323.7314.675.

    CAS  PubMed  PubMed Central  Google Scholar 

  8. 8.

    Severens JL, Laheij RJ, Jansen JB, Van der Lisdonk EH, Verbeek AL: Estimating the cost of lost productivity in dyspepsia. Aliment Pharmacol Ther. 1998, 12: 919-923. 10.1046/j.1365-2036.1998.00376.x.

    CAS  PubMed  Google Scholar 

  9. 9.

    Sonnenberg A, Everhart JE: Health impact of peptic ulcer in the United States. Am J Gastroenterol. 1997, 92: 614-620.

    CAS  PubMed  Google Scholar 

  10. 10.

    Tibblin G: Introduction to the epidemiology of dyspepsia. Scand J Gastroenterol Suppl. 1985, 109: 29-33.

    CAS  PubMed  Google Scholar 

  11. 11.

    Bae SC, Corzillius M, Kuntz KM, Liang MH: Cost-effectiveness of low dose corticosteroids versus non-steroidal anti-inflammatory drugs and COX-2 specific inhibitors in the long-term treatment of rheumatoid arthritis. Rheumatology (Oxford). 2003, 42: 46-53. 10.1093/rheumatology/keg029.

    CAS  Google Scholar 

  12. 12.

    Spiegel BM, Targownik L, Dulai GS, Gralnek IM: The cost-effectiveness of cyclooxygenase-2 selective inhibitors in the management of chronic arthritis. Ann Intern Med. 2003, 138: 795-806.

    PubMed  Google Scholar 

  13. 13.

    Yun HR, Bae SC: Cost-effectiveness analysis of NSAIDs, NSAIDs with concomitant therapy to prevent gastrointestinal toxicity, and COX-2 specific inhibitors in the treatment of rheumatoid arthritis. Rheumatol Int. 2005, 25: 9-14. 10.1007/s00296-003-0392-2.

    PubMed  Google Scholar 

  14. 14.

    Deeks JJ, Smith LA, Bradley MD: Efficacy, tolerability, and upper gastrointestinal safety of celecoxib for treatment of osteoarthritis and rheumatoid arthritis: systematic review of randomised controlled trials. BMJ. 2002, 325: 619-626. 10.1136/bmj.325.7365.619.

    CAS  PubMed  PubMed Central  Google Scholar 

  15. 15.

    Simon LS, White W, MacDonald T, Pan S, Rosenstein R, Gaffney M: Cardiovascular safety of celecoxib: a meta-analysis of 41 clinical studies in 44,300 patients [abstract]. 2005, Presented at the American College of Rheumatology Annual Meeting, November 12-17, 2005; San Diego, CA

    Google Scholar 

  16. 16.

    Singh G, Fort JG, Goldstein JL, Levy RA, Hanrahan PS, Bello AE, Andrade-Ortega L, Wallemark C, Agrawal NA, Eisen GM, Stenson WF, Triadafilopoulos G, Investigators SUCCESSI: Celecoxib versus naproxen and diclofenac in osteoarthritis patients: SUCCESS-I Study [published correction appears in: Am J Med. 2006;119:801]. Am J Med. 2006, 119: 255-266. 10.1016/j.amjmed.2005.09.054.

    CAS  PubMed  Google Scholar 

  17. 17.

    White WB, Faich G, Borer JS, Makuch RW: Cardiovascular thrombotic events in arthritis trials of the cyclooxygenase-2 inhibitor celecoxib. Am J Cardiol. 2003, 92: 411-418. 10.1016/S0002-9149(03)00659-3.

    CAS  PubMed  Google Scholar 

  18. 18.

    Hernandez-Diaz S, Rodriguez LA: Association between nonsteroidal anti-inflammatory drugs and upper gastrointestinal tract bleeding/perforation: an overview of epidemiologic studies published in the 1990s. Arch Intern Med. 2000, 160: 2093-2099. 10.1001/archinte.160.14.2093.

    CAS  PubMed  Google Scholar 

  19. 19.

    Hsu PI, Lai KH, Lo GH, Tseng HH, Lo CC, Chen HC, Tsai WL, Jou HS, Peng NJ, Chien CH, Chen JL, Hsu PN: Risk factors for ulcer development in patients with non-ulcer dyspepsia: a prospective two year follow up study of 209 patients. Gut. 2002, 51: 15-20. 10.1136/gut.51.1.15.

    PubMed  PubMed Central  Google Scholar 

  20. 20.

    Canadian Coordinating Office for Health Technology Assessment (CCOHTA). Guidelines for economic evaluation of pharmaceuticals. November 1997. 1997, []

  21. 21.

    Silverstein FE, Faich G, Goldstein JL, Simon LS, Pincus T, Whelton A, Makuch R, Eisen G, Agrawal NM, Stenson WF, Burr AM, Zhao WW, Kent JD, Lefkowith JB, Verburg KM, Geis GS: Gastrointestinal toxicity with celecoxib vs nonsteroidal anti-inflammatory drugs for osteoarthritis and rheumatoid arthritis: the CLASS study: A randomized controlled trial. Celecoxib Long-term Arthritis Safety Study. JAMA. 2000, 284: 1247-1255. 10.1001/jama.284.10.1247.

    CAS  PubMed  Google Scholar 

  22. 22.

    Bombardier C, Laine L, Reicin A, Shapiro D, Burgos-Vargas R, Davis B, Day R, Ferraz MB, Hawkey CJ, Hochberg MC, Kvien TK, Schnitzer TJ: Comparison of upper gastrointestinal toxicity of rofecoxib and naproxen in patients with rheumatoid arthritis. VIGOR Study Group. N Engl J Med. 2000, 343: 1520-1528, 2 pages following. 10.1056/NEJM200011233432103.

    CAS  PubMed  Google Scholar 

  23. 23.

    Goldstein JL, Silverstein FE, Agrawal NM, Hubbard RC, Kaiser J, Maurath CJ, Verburg KM, Geis GS: Reduced risk of upper gastrointestinal ulcer complications with celecoxib, a novel COX-2 inhibitor. Am J Gastroenterol. 2000, 95: 1681-1690. 10.1111/j.1572-0241.2000.02194.x.

    CAS  PubMed  Google Scholar 

  24. 24.

    Mamdani M, Rochon PA, Juurlink DN, Kopp A, Anderson GM, Naglie G, Austin PC, Laupacis A: Observational study of upper gastrointestinal haemorrhage in elderly patients given selective cyclo-oxygenase-2 inhibitors or conventional non-steroidal anti-inflammatory drugs. BMJ. 2002, 325: 624-10.1136/bmj.325.7365.624.

    CAS  PubMed  PubMed Central  Google Scholar 

  25. 25.

    Fries JF, Williams CA, Bloch DA, Michel BA: Nonsteroidal anti-inflammatory drug-associated gastropathy: incidence and risk factor models. Am J Med. 1991, 91: 213-222. 10.1016/0002-9343(91)90118-H.

    CAS  PubMed  Google Scholar 

  26. 26.

    Fries JF: The epidemiology of NSAID gastropathy. The ARAMIS experience. J Clin Rheumatol. 1998, 4: S11-S16.

    CAS  PubMed  Google Scholar 

  27. 27.

    MacDonald TM, Morant SV, Robinson GC, Shield MJ, McGilchrist MM, Murray FE, McDevitt DG: Association of upper gastrointestinal toxicity of non-steroidal anti-inflammatory drugs with continued exposure: cohort study. BMJ. 1997, 315: 1333-1337.

    CAS  PubMed  PubMed Central  Google Scholar 

  28. 28.

    Singh G, Triadafilopoulos G: Epidemiology of NSAID induced gastrointestinal complications. J Rheumatol Suppl. 1999, 56: 18-24.

    CAS  PubMed  Google Scholar 

  29. 29.

    Wolfe F, Hawley DJ: The comparative risk and predictors of adverse gastrointestinal events in rheumatoid arthritis and osteoarthritis: a prospective 13 year study of 2131 patients. J Rheumatol. 2000, 27: 1668-1673.

    CAS  PubMed  Google Scholar 

  30. 30.

    Serrano P, Lanas A, Arroyo MT, Ferreira IJ: Risk of upper gastrointestinal bleeding in patients taking low-dose aspirin for the prevention of cardiovascular diseases. Aliment Pharmacol Ther. 2002, 16: 1945-1953. 10.1046/j.1365-2036.2002.01355.x.

    CAS  PubMed  Google Scholar 

  31. 31.

    Silverstein FE, Graham DY, Senior JR, Davies HW, Struthers BJ, Bittman RM, Geis GS: Misoprostol reduces serious gastrointestinal complications in patients with rheumatoid arthritis receiving nonsteroidal anti-inflammatory drugs. A randomized, double-blind, placebo-controlled trial. Ann Intern Med. 1995, 123: 241-249.

    CAS  PubMed  Google Scholar 

  32. 32.

    Bensen WG, Zhao SZ, Burke TA, Zabinski RA, Makuch RW, Maurath CJ, Agrawal NM, Geis GS: Upper gastrointestinal tolerability of celecoxib, a COX-2 specific inhibitor, compared to naproxen and placebo. J Rheumatol. 2000, 27: 1876-1883.

    CAS  PubMed  Google Scholar 

  33. 33.

    El Serag HB, Talley NJ: Systemic review: the prevalence and clinical course of functional dyspepsia. Aliment Pharmacol Ther. 2004, 19: 643-654. 10.1111/j.1365-2036.2004.01897.x.

    CAS  PubMed  Google Scholar 

  34. 34.

    Goldstein JL, Eisen GM, Burke TA, Pena BM, Lefkowith J, Geis GS: Dyspepsia tolerability from the patients' perspective: a comparison of celecoxib with diclofenac. Aliment Pharmacol Ther. 2002, 16: 819-827. 10.1046/j.1365-2036.2002.01219.x.

    CAS  PubMed  Google Scholar 

  35. 35.

    McKenna F, Arguelles L, Burke T, Lefkowith J, Geis GS: Upper gastrointestinal tolerability of celecoxib compared with diclofenac in the treatment of osteoarthritis and rheumatoid arthritis. Clin Exp Rheumatol. 2002, 20: 35-43.

    CAS  PubMed  Google Scholar 

  36. 36.

    Kaplan RM, Anderson JP, Wu AW, Mathews WC, Kozin F, Orenstein D: The Quality of Well-being Scale. Applications in AIDS, cystic fibrosis, and arthritis. Med Care. 1989, 27: S27-S43. 10.1097/00005650-198903001-00003.

    CAS  PubMed  Google Scholar 

  37. 37.

    Maetzel A, Krahn M, Naglie G: The cost effectiveness of rofecoxib and celecoxib in patients with osteoarthritis or rheumatoid arthritis. Arthritis Rheum. 2003, 49: 283-292. 10.1002/art.11121.

    PubMed  Google Scholar 

  38. 38.

    Groeneveld PW, Lieu TA, Fendrick AM, Hurley LB, Ackerson LM, Levin TR, Allison JE: Quality of life measurement clarifies the cost-effectiveness of Helicobacter pylori eradication in peptic ulcer disease and uninvestigated dyspepsia. Am J Gastroenterol. 2001, 96: 338-347.

    CAS  PubMed  Google Scholar 

  39. 39.

    Canadian Institute for Health Information. Canadian Community Health Survey (CCHS): Cycle 1.1: extending the wealth of health data in Canada. 2003. 2003, []

  40. 40.

    Health Services Cost Review Commission. Maryland Inpatient Public Use File July 2003-June 2004. 2004

  41. 41.

    Ebell MH, Warbasse L, Brenner C: Evaluation of the dyspeptic patient: a cost-utility study. J Fam Pract. 1997, 44: 545-555.

    CAS  PubMed  Google Scholar 

  42. 42.

    Holvoet J, Terriere L, Van Hee W, Verbist L, Fierens E, Hautekeete ML: Relation of upper gastrointestinal bleeding to non-steroidal anti-inflammatory drugs and aspirin: a case-control study. Gut. 1991, 32: 730-734.

    CAS  PubMed  PubMed Central  Google Scholar 

  43. 43.

    Rorbaek-Madsen M, Fischer L, Thomsen H, Wara P: Late outcome of bleeding gastric ulcer. Five to eight years' follow-up. Scand J Gastroenterol. 1994, 29: 983-987.

    CAS  PubMed  Google Scholar 

  44. 44.

    Singh G, Rosen RD: NSAID induced gastrointestinal complications: the ARAMIS perspective--1997. Arthritis, Rheumatism, and Aging Medical Information System. J Rheumatol Suppl. 1998, 51: 8-16.

    CAS  PubMed  Google Scholar 

  45. 45.

    Zeidler H: Epidemiology and economics of NSAID-induced gastropathy. Scand J Rheumatol Suppl. 1992, 92: 3-8.

    CAS  PubMed  Google Scholar 

  46. 46.

    North of England Dyspepsia Guideline Development Group. Dyspepsia: managing dyspepsia in adults in primary care. Newcastle upon Tyne (UK): Center for Health Services Research, University of Newcastle. August 2004. 2004, []

  47. 47.

    Eisen GM, Dominitz JA, Faigel DO, Goldstein JA, Kalloo AN, Petersen BT, Raddawi HM, Ryan ME, Vargo JJ, Young HS, Fanelli RD, Hyman NH, Wheeler-Harbaugh J: The role of endoscopy in dyspepsia. Gastrointest Endosc. 2001, 54: 815-817.

    CAS  PubMed  Google Scholar 

  48. 48.

    Laheij RJ, Severens JL, Jansen JB, van de Lisdonk EH, Verbeek AL: Management in general practice of patients with persistent dyspepsia. A decision analysis. J Clin Gastroenterol. 1997, 25: 563-567. 10.1097/00004836-199712000-00002.

    CAS  PubMed  Google Scholar 

  49. 49.

    Laheij RJ, van Rossum LG, Heinen N, Jansen JB: Long-term follow-up of empirical treatment or prompt endoscopy for patients with persistent dyspeptic symptoms?. Eur J Gastroenterol Hepatol. 2004, 16: 785-789. 10.1097/01.meg.0000108366.19243.3a.

    PubMed  Google Scholar 

  50. 50.

    Lai KC, Chu KM, Hui WM, Wong BC, Hu WH, Wong WM, Chan AO, Wong J, Lam SK: Celecoxib compared with lansoprazole and naproxen to prevent gastrointestinal ulcer complications. Am J Med. 2005, 118: 1271-1278. 10.1016/j.amjmed.2005.04.031.

    CAS  PubMed  Google Scholar 

  51. 51.

    Laine L, Schoenfeld P, Fennerty MB: Therapy for Helicobacter pylori in patients with nonulcer dyspepsia. A meta-analysis of randomized, controlled trials. Ann Intern Med. 2001, 134: 361-369.

    CAS  PubMed  Google Scholar 

  52. 52.

    Lindell GH, Celebioglu F, Graffner HO: Non-ulcer dyspepsia in the long-term perspective. Eur J Gastroenterol Hepatol. 1995, 7: 829-833.

    CAS  PubMed  Google Scholar 

  53. 53.

    Meineche-Schmidt V, Talley NJ, Pap A, Kordecki H, Schmid V, Ohlsson L, Wahlqvist P, Wiklund I, Bolling-Sternevald E: Impact of functional dyspepsia on quality of life and health care consumption after cessation of antisecretory treatment. A multicentre 3-month follow-up study. Scand J Gastroenterol. 1999, 34: 566-574. 10.1080/003655299750026010.

    CAS  PubMed  Google Scholar 

  54. 54.

    Ryder SD, O'Reilly S, Miller RJ, Ross J, Jacyna MR, Levi AJ: Long term acid suppressing treatment in general practice. BMJ. 1994, 308: 827-830.

    CAS  PubMed  PubMed Central  Google Scholar 

  55. 55.

    Heikkinen M, Farkkila M: What is the long-term outcome of the different subgroups of functional dyspepsia?. Aliment Pharmacol Ther. 2003, 18: 223-229. 10.1046/j.1365-2036.2003.01685.x.

    CAS  PubMed  Google Scholar 

  56. 56.

    Janssen HA, Muris JW, Knottnerus JA: The clinical course and prognostic determinants of non-ulcer dyspepsia: a literature review. Scand J Gastroenterol. 1999, 34: 546-550. 10.1080/003655299750025985.

    CAS  PubMed  Google Scholar 

  57. 57.

    Jensen DM: Economic assessment of peptic ulcer disease treatments. Scand J Gastroenterol Suppl. 1988, 146: 214-224.

    CAS  PubMed  Google Scholar 

  58. 58.

    McCarthy DM: Nonsteroidal antiinflammatory drug-induced ulcers: management by traditional therapies. Gastroenterology. 1989, 96: 662-674.

    CAS  PubMed  Google Scholar 

  59. 59.

    Petersen H, Kristensen P, Johannessen T, Kleveland PM, Dybdahl JH, Myrvold H: The natural course of peptic ulcer disease and its predictors. Scand J Gastroenterol. 1995, 30: 17-24.

    CAS  PubMed  Google Scholar 

  60. 60.

    Everhart JE, Byrd-Holt D, Sonnenberg A: Incidence and risk factors for self-reported peptic ulcer disease in the United States. Am J Epidemiol. 1998, 147: 529-536.

    CAS  PubMed  Google Scholar 

  61. 61.

    Congressional Budget Office. How increased competition from generic drugs has affected prices and returns in the pharmaceutical industry. July 1998. 1998, []

  62. 62.

    Anis AH, Guh DP, Woolcott J: Lowering generic drug prices: less regulation equals more competition. Med Care. 2003, 41: 135-141. 10.1097/00005650-200301000-00015.

    PubMed  Google Scholar 

  63. 63.

    Frank RG, Seiguer E: Generic drug competition in the US. 2003, []

    Google Scholar 

  64. 64.

    Grabowski H: Patents, innovation and access to new pharmaceuticals. Duke University. 2002, []

    Google Scholar 

  65. 65.

    Newhouse JP: US and UK health economics: two disciplines separated by a common language?. Health Econ. 1998, 7 Suppl 1: S79-S92.

    CAS  PubMed  Google Scholar 

  66. 66.

    Bombardier C: An evidence-based evaluation of the gastrointestinal safety of coxibs. Am J Cardiol. 2002, 89: 3D-9D. 10.1016/S0002-9149(02)02231-2.

    CAS  PubMed  Google Scholar 

  67. 67.

    Fries JF, Murtagh KN, Bennett M, Zatarain E, Lingala B, Bruce B: The rise and decline of nonsteroidal antiinflammatory drug-associated gastropathy in rheumatoid arthritis. Arthritis Rheum. 2004, 50: 2433-2440. 10.1002/art.20440.

    PubMed  Google Scholar 

  68. 68.

    Hernandez-Diaz S, Rodriguez LA: Incidence of serious upper gastrointestinal bleeding/perforation in the general population: review of epidemiologic studies. J Clin Epidemiol. 2002, 55: 157-163. 10.1016/S0895-4356(01)00461-9.

    PubMed  Google Scholar 

  69. 69.

    Laine L: Gastrointestinal effects of NSAIDs and coxibs. J Pain Symptom Manage. 2003, 25: S32-S40. 10.1016/S0885-3924(02)00629-2.

    CAS  PubMed  Google Scholar 

  70. 70.

    Tannenbaum H, Peloso PM, Russell AS, Marlow B: An evidence-based approach to prescribing NSAIDs in the treatment of osteoarthritis and rheumatoid arthritis: The Second Canadian Consensus Conference. Can J Clin Pharmacol. 2000, 7 Suppl A: 4A-16A.

    CAS  PubMed  Google Scholar 

  71. 71.

    Longstreth GF: Epidemiology of hospitalization for acute upper gastrointestinal hemorrhage: a population-based study. Am J Gastroenterol. 1995, 90: 206-210.

    CAS  PubMed  Google Scholar 

  72. 72.

    Moore RA: Helicobacter pylori and peptic ulcer, a systematic review of effectiveness and an overview of the economic benefits of implementing what is known to be cost effective. 1994, []

    Google Scholar 

  73. 73.

    Chan FK, Hung LC, Suen BY, Wu JC, Lee KC, Leung VK, Hui AJ, To KF, Leung WK, Wong VW, Chung SC, Sung JJ: Celecoxib versus diclofenac and omeprazole in reducing the risk of recurrent ulcer bleeding in patients with arthritis. N Engl J Med. 2002, 347: 2104-2110. 10.1056/NEJMoa021907.

    CAS  PubMed  Google Scholar 

  74. 74.

    Claxton K: The irrelevance of inference: a decision-making approach to the stochastic evaluation of health care technologies. J Health Econ. 1999, 18: 341-364. 10.1016/S0167-6296(98)00039-3.

    CAS  PubMed  Google Scholar 

  75. 75.

    Hawkey CJ, Langman MJ: Non-steroidal anti-inflammatory drugs: overall risks and management. Complementary roles for COX-2 inhibitors and proton pump inhibitors. Gut. 2003, 52: 600-608. 10.1136/gut.52.4.600.

    CAS  PubMed  PubMed Central  Google Scholar 

  76. 76.

    Hunt RH, Barkun AN, Baron D, Bombardier C, Bursey FR, Marshall JR, Morgan DG, Pare P, Thomson AB, Whittaker JS: Recommendations for the appropriate use of anti-inflammatory drugs in the era of the coxibs: defining the role of gastroprotective agents. Can J Gastroenterol. 2002, 16: 231-240.

    PubMed  Google Scholar 

  77. 77.

    Laine L: Proton pump inhibitor co-therapy with nonsteroidal anti-inflammatory drugs--nice or necessary?. Rev Gastroenterol Disord. 2004, 4 Suppl 4: S33-S41.

    PubMed  Google Scholar 

  78. 78.

    Drummond MF, O'Brien B, Stoddart GL, Torrance GW, editors: Methods for the Economic Evaluation of Health Care Programmes. 1997, New York, Oxford University Press

    Google Scholar 

  79. 79.

    Gold MR, Siegel JE, Russell LB, Weinstein MC, editors: Cost-effectiveness in Health and Medicine. 1996, New York, Oxford University Press

    Google Scholar 

  80. 80.

    Maetzel A, Krahn M, Naglie G: The cost-effectiveness of celecoxib and rofecoxib in patients with osteoarthritis or rheumatoid arthritis. Canadian Coordinating Office for Health Technology Assessment Technology Report No. 23. 2001

    Google Scholar 

  81. 81.

    Chancellor JV, Hunsche E, de Cruz E, Sarasin FP: Economic evaluation of celecoxib, a new cyclo-oxygenase 2 specific inhibitor, in Switzerland. Pharmacoeconomics. 2001, 19 Suppl 1: 59-75. 10.2165/00019053-200119001-00005.

    CAS  PubMed  Google Scholar 

  82. 82.

    Haglund U, Svarvar P: The Swedish ACCES model: predicting the health economic impact of celecoxib in patients with osteoarthritis or rheumatoid arthritis. Rheumatology (Oxford). 2000, 39 Suppl 2: 51-56.

    CAS  Google Scholar 

  83. 83.

    Svarvar P, Aly A: Use of the ACCES model to predict the health economic impact of celecoxib in patients with osteoarthritis or rheumatoid arthritis in Norway. Rheumatology (Oxford). 2000, 39 Suppl 2: 43-50.

    CAS  Google Scholar 

  84. 84.

    You JH, Lee KK, Chan TY, Lau WH, Chan FK: Arthritis treatment in Hong Kong--cost analysis of celecoxib versus conventional NSAIDS, with or without gastroprotective agents. Aliment Pharmacol Ther. 2002, 16: 2089-2096. 10.1046/j.1365-2036.2002.01376.x.

    CAS  PubMed  Google Scholar 

  85. 85.

    Zabinski RA, Burke TA, Johnson J, Lavoie F, Fitzsimon C, Tretiak R, Chancellor JV: An economic model for determining the costs and consequences of using various treatment alternatives for the management of arthritis in Canada. Pharmacoeconomics. 2001, 19 Suppl 1: 49-58. 10.2165/00019053-200119001-00004.

    CAS  PubMed  Google Scholar 

  86. 86.

    El Serag HB, Graham DY, Richardson P, Inadomi JM: Prevention of complicated ulcer disease among chronic users of nonsteroidal anti-inflammatory drugs: the use of a nomogram in cost-effectiveness analysis. Arch Intern Med. 2002, 162: 2105-2110. 10.1001/archinte.162.18.2105.

    PubMed  Google Scholar 

  87. 87.

    Schaefer M, DeLattre M, Gao X, Stephens J, Botteman M, Morreale A: Assessing the cost-effectiveness of COX-2 specific inhibitors for arthritis in the Veterans Health Administration. Curr Med Res Opin. 2005, 21: 47-60. 10.1185/030079904X17974.

    PubMed  Google Scholar 

  88. 88.

    Geis GS: Are selective COX 2 inhibitors superior to traditional NSAIDs? Pharmacia's response to editorial. BMJ. 2002, 325: 161-10.1136/bmj.325.7356.161.

    PubMed  PubMed Central  Google Scholar 

  89. 89.

    Gottlieb S: Researchers deny any attempt to mislead the public over JAMA article on arthritis drug. BMJ. 2001, 323: 301-10.1136/bmj.323.7308.301.

    CAS  PubMed  PubMed Central  Google Scholar 

  90. 90.

    Hrachovec JB, Mora M: Reporting of 6-month vs 12-month data in a clinical trial of celecoxib. JAMA. 2001, 286: 2398-2400. 10.1001/jama.286.19.2398.

    CAS  PubMed  Google Scholar 

  91. 91.

    Juni P, Rutjes AW, Dieppe PA: Are selective COX 2 inhibitors superior to traditional non steroidal anti-inflammatory drugs?. BMJ. 2002, 324: 1287-1288. 10.1136/bmj.324.7349.1287.

    PubMed  PubMed Central  Google Scholar 

  92. 92.

    Juni P, Sterchi R, Dieppe P: Systematic review of celecoxib for osteoarthritis and rheumatoid arthritis. Problems compromise review's validity. BMJ. 2003, 326: 334-10.1136/bmj.326.7384.334.

    PubMed  PubMed Central  Google Scholar 

  93. 93.

    Scheiman JM: Gastroduodenal safety of cyclooxygenase-2 inhibitors. Curr Pharm Des. 2003, 9: 2197-2206. 10.2174/1381612033454018.

    CAS  PubMed  Google Scholar 

  94. 94.

    Stover RR: Are selective COX 2 inhibitors superior to traditional NSAIDs? Both the CLASS and VIGOR trials support the COX 2 hypothesis. BMJ. 2002, 325: 161-10.1136/bmj.325.7356.161.

    PubMed  PubMed Central  Google Scholar 

  95. 95.

    Ramey DR, Watson DJ, Yu C, Bolognese JA, Curtis SP, Reicin AS: The incidence of upper gastrointestinal adverse events in clinical trials of etoricoxib vs. non-selective NSAIDs: an updated combined analysis. Curr Med Res Opin. 2005, 21: 715-722. 10.1185/030079905X43686.

    CAS  PubMed  Google Scholar 

  96. 96.

    Schnitzer TJ, Burmester GR, Mysler E, Hochberg MC, Doherty M, Ehrsam E, Gitton X, Krammer G, Mellein B, Matchaba P, Gimona A, Hawkey CJ: Comparison of lumiracoxib with naproxen and ibuprofen in the Therapeutic Arthritis Research and Gastrointestinal Event Trial (TARGET), reduction in ulcer complications: randomised controlled trial. Lancet. 2004, 364: 665-674. 10.1016/S0140-6736(04)16893-1.

    CAS  PubMed  Google Scholar 

  97. 97.

    Hawkey CJ, Farkouh M, Gitton X, Ehrsam E, Huels J, Richardson P: Therapeutic arthritis research and gastrointestinal event trial of lumiracoxib - study design and patient demographics. Aliment Pharmacol Ther. 2004, 20: 51-63. 10.1111/j.1365-2036.2004.02026.x.

    CAS  PubMed  Google Scholar 

  98. 98.

    Garcia Rodriguez LA, Hernandez-Diaz S: Risk of uncomplicated peptic ulcer among users of aspirin and nonaspirin nonsteroidal antiinflammatory drugs. Am J Epidemiol. 2004, 159: 23-31. 10.1093/aje/kwh005.

    PubMed  Google Scholar 

  99. 99.

    Gutthann SP, Garcia Rodriguez LA, Raiford DS: Individual nonsteroidal antiinflammatory drugs and other risk factors for upper gastrointestinal bleeding and perforation. Epidemiology. 1997, 8: 18-24. 10.1097/00001648-199701000-00003.

    CAS  PubMed  Google Scholar 

  100. 100.

    Perez-Gutthann S, Garcia-Rodriguez LA, Duque-Oliart A, Varas-Lorenzo C: Low-dose diclofenac, naproxen, and ibuprofen cohort study. Pharmacotherapy. 1999, 19: 854-859. 10.1592/phco.19.10.854.31550.

    CAS  PubMed  Google Scholar 

  101. 101.

    Singh G: Recent considerations in nonsteroidal anti-inflammatory drug gastropathy. Am J Med. 1998, 105: 31S-38S. 10.1016/S0002-9343(98)00072-2.

    CAS  PubMed  Google Scholar 

  102. 102.

    Laine L: Approaches to nonsteroidal anti-inflammatory drug use in the high-risk patient. Gastroenterology. 2001, 120: 594-606. 10.1053/gast.2001.21907.

    CAS  PubMed  Google Scholar 

  103. 103.

    Henry D, Lim LL, Garcia Rodriguez LA, Perez GS, Carson JL, Griffin M, Savage R, Logan R, Moride Y, Hawkey C, Hill S, Fries JT: Variability in risk of gastrointestinal complications with individual non-steroidal anti-inflammatory drugs: results of a collaborative meta-analysis. BMJ. 1996, 312: 1563-1566.

    CAS  PubMed  PubMed Central  Google Scholar 

  104. 104.

    Langman MJ, Weil J, Wainwright P, Lawson DH, Rawlins MD, Logan RF, Murphy M, Vessey MP, Colin-Jones DG: Risks of bleeding peptic ulcer associated with individual non-steroidal anti-inflammatory drugs. Lancet. 1994, 343: 1075-1078. 10.1016/S0140-6736(94)90185-6.

    CAS  PubMed  Google Scholar 

  105. 105.

    Drummond M, McGuire A, editors: Economic Evaluation in Health Care. Merging Theory With Practice. 2001, London, Oxford University Press

    Google Scholar 

  106. 106.

    Andersohn F, Suissa S, Garbe E: Use of first- and second-generation cyclooxygenase-2-selective nonsteroidal antiinflammatory drugs and risk of acute myocardial infarction. Circulation. 2006, 113: 1950-1957. 10.1161/CIRCULATIONAHA.105.602425.

    CAS  PubMed  Google Scholar 

  107. 107.

    Graham DJ, Campen D, Hui R, Spence M, Cheetham C, Levy G, Shoor S, Ray WA: Risk of acute myocardial infarction and sudden cardiac death in patients treated with cyclo-oxygenase 2 selective and non-selective non-steroidal anti-inflammatory drugs: nested case-control study. Lancet. 2005, 365: 475-481.

    CAS  PubMed  Google Scholar 

  108. 108.

    Hippisley-Cox J, Coupland C: Risk of myocardial infarction in patients taking cyclo-oxygenase-2 inhibitors or conventional non-steroidal anti-inflammatory drugs: population based nested case-control analysis. BMJ. 2005, 330: 1366-10.1136/bmj.330.7504.1366.

    CAS  PubMed  PubMed Central  Google Scholar 

  109. 109.

    Huang WF, Hsiao FY, Tsai YW, Wen YW, Shih YT: Cardiovascular events associated with long-term use of celecoxib, rofecoxib and meloxicam in Taiwan : an observational study. Drug Saf. 2006, 29: 261-272. 10.2165/00002018-200629030-00009.

    CAS  PubMed  Google Scholar 

  110. 110.

    Johnsen SP, Larsson H, Tarone RE, McLaughlin JK, Norgard B, Friis S, Sorensen HT: Risk of hospitalization for myocardial infarction among users of rofecoxib, celecoxib, and other NSAIDs: a population-based case-control study. Arch Intern Med. 2005, 165: 978-984. 10.1001/archinte.165.9.978.

    CAS  PubMed  Google Scholar 

  111. 111.

    Kimmel SE, Berlin JA, Reilly M, Jaskowiak J, Kishel L, Chittams J, Strom BL: Patients exposed to rofecoxib and celecoxib have different odds of nonfatal myocardial infarction. Ann Intern Med. 2005, 142: 157-164.

    CAS  PubMed  Google Scholar 

  112. 112.

    Levesque LE, Brophy JM, Zhang B: The risk for myocardial infarction with cyclooxygenase-2 inhibitors: a population study of elderly adults. Ann Intern Med. 2005, 142: 481-489.

    CAS  PubMed  Google Scholar 

  113. 113.

    Mamdani M, Rochon P, Juurlink DN, Anderson GM, Kopp A, Naglie G, Austin PC, Laupacis A: Effect of selective cyclooxygenase 2 inhibitors and naproxen on short-term risk of acute myocardial infarction in the elderly. Arch Intern Med. 2003, 163: 481-486. 10.1001/archinte.163.4.481.

    CAS  PubMed  Google Scholar 

  114. 114.

    Ray WA, Stein CM, Daugherty JR, Hall K, Arbogast PG, Griffin MR: COX-2 selective non-steroidal anti-inflammatory drugs and risk of serious coronary heart disease. Lancet. 2002, 360: 1071-1073. 10.1016/S0140-6736(02)11131-7.

    CAS  PubMed  Google Scholar 

  115. 115.

    Shaya FT, Blume SW, Blanchette CM, Weir MR, Mullins CD: Selective cyclooxygenase-2 inhibition and cardiovascular effects: an observational study of a Medicaid population. Arch Intern Med. 2005, 165: 181-186. 10.1001/archinte.165.2.181.

    CAS  PubMed  Google Scholar 

  116. 116.

    Singh G, Graham D, Wang H, Mithal A, Triadafilopoulos G: Concomitant aspirin use reduces the risk of acute myocardial infarction in users of cyclooxygenase-2 selective and some non-selective nonsteroidal anti-inflammatory drugs [abstract]. 2006, Presented at the European League Against Rheumatism Annual Meeting, June 21-26, 2006, The Netherlands

    Google Scholar 

  117. 117.

    Solomon DH, Schneeweiss S, Glynn RJ, Kiyota Y, Levin R, Mogun H, Avorn J: Relationship between selective cyclooxygenase-2 inhibitors and acute myocardial infarction in older adults. Circulation. 2004, 109: 2068-2073. 10.1161/01.CIR.0000127578.21885.3E.

    CAS  PubMed  Google Scholar 

  118. 118.

    Solomon DH, Avorn J, Sturmer T, Glynn RJ, Mogun H, Schneeweiss S: Cardiovascular outcomes in new users of coxibs and nonsteroidal antiinflammatory drugs: high-risk subgroups and time course of risk. Arthritis Rheum. 2006, 54: 1378-1389. 10.1002/art.21887.

    CAS  PubMed  Google Scholar 

  119. 119.

    Velentgas P, West W, Cannuscio CC, Watson DJ, Walker AM: Cardiovascular risk of selective cyclooxygenase-2 inhibitors and other non-aspirin non-steroidal anti-inflammatory medications. Pharmacoepidemiol Drug Saf. 2006

    Google Scholar 

  120. 120.

    McGettigan P, Henry D: Cardiovascular risk and inhibition of cyclooxygenase: a systematic review of the observational studies of selective and nonselective inhibitors of cyclooxygenase 2. JAMA. 2006, 296: 1633-1644. 10.1001/jama.296.13.jrv60011.

    CAS  PubMed  Google Scholar 

  121. 121.

    Norgard B, Pedersen L, Johnsen SP, Tarone RE, McLaughlin JK, Friis S, Sorensen HT: COX-2-selective inhibitors and the risk of upper gastrointestinal bleeding in high-risk patients with previous gastrointestinal diseases: a population-based case-control study. Aliment Pharmacol Ther. 2004, 19: 817-825. 10.1111/j.1365-2036.2004.01913.x.

    CAS  PubMed  Google Scholar 

  122. 122.

    Bergman L, van der Meulen JH, Limburg M, Habbema JD: Costs of medical care after first-ever stroke in The Netherlands. Stroke. 1995, 26: 1830-1836.

    CAS  PubMed  Google Scholar 

  123. 123.

    Dewey HM, Thrift AG, Mihalopoulos C, Carter R, Macdonell RA, McNeil JJ, Donnan GA: Cost of stroke in Australia from a societal perspective: results from the North East Melbourne Stroke Incidence Study (NEMESIS). Stroke. 2001, 32: 2409-2416.

    CAS  PubMed  Google Scholar 

  124. 124.

    Diringer MN, Edwards DF, Mattson DT, Akins PT, Sheedy CW, Hsu CY, Dromerick AW: Predictors of acute hospital costs for treatment of ischemic stroke in an academic center. Stroke. 1999, 30: 724-728.

    CAS  PubMed  Google Scholar 

  125. 125.

    Eisenstein EL, Shaw LK, Anstrom KJ, Nelson CL, Hakim Z, Hasselblad V, Mark DB: Assessing the clinical and economic burden of coronary artery disease: 1986-1998. Med Care. 2001, 39: 824-835. 10.1097/00005650-200108000-00008.

    CAS  PubMed  Google Scholar 

  126. 126.

    Ghatnekar O, Persson U, Glader EL, Terent A: Cost of stroke in Sweden: an incidence estimate. Int J Technol Assess Health Care. 2004, 20: 375-380.

    PubMed  Google Scholar 

  127. 127.

    Salkeld G, Phongsavan P, Oldenburg B, Johannesson M, Convery P, Graham-Clarke P, Walker S, Shaw J: The cost-effectiveness of a cardiovascular risk reduction program in general practice. Health Policy. 1997, 41: 105-119. 10.1016/S0168-8510(97)00015-8.

    CAS  PubMed  Google Scholar 

  128. 128.

    Samsa GP, Bian J, Lipscomb J, Matchar DB: Epidemiology of recurrent cerebral infarction: a medicare claims-based comparison of first and recurrent strokes on 2-year survival and cost. Stroke. 1999, 30: 338-349.

    CAS  PubMed  Google Scholar 

  129. 129.

    Sanders GD, Hlatky MA, Every NR, McDonald KM, Heidenreich PA, Parsons LS, Owens DK: Potential cost-effectiveness of prophylactic use of the implantable cardioverter defibrillator or amiodarone after myocardial infarction. Ann Intern Med. 2001, 135: 870-883.

    CAS  PubMed  Google Scholar 

  130. 130.

    Bronnum-Hansen H, Davidsen M, Thorvaldsen P: Long-term survival and causes of death after stroke. Stroke. 2001, 32: 2131-2136.

    CAS  PubMed  Google Scholar 

  131. 131.

    Burn J, Dennis M, Bamford J, Sandercock P, Wade D, Warlow C: Long-term risk of recurrent stroke after a first-ever stroke. The Oxfordshire Community Stroke Project. Stroke. 1994, 25: 333-337.

    CAS  PubMed  Google Scholar 

  132. 132.

    Gage BF, Cardinalli AB, Owens DK: Cost-effectiveness of preference-based antithrombotic therapy for patients with nonvalvular atrial fibrillation. Stroke. 1998, 29: 1083-1091.

    CAS  PubMed  Google Scholar 

  133. 133.

    Hankey GJ, Jamrozik K, Broadhurst RJ, Forbes S, Burvill PW, Anderson CS, Stewart-Wynne EG: Five-year survival after first-ever stroke and related prognostic factors in the Perth Community Stroke Study. Stroke. 2000, 31: 2080-2086.

    CAS  PubMed  Google Scholar 

  134. 134.

    Hardie K, Hankey GJ, Jamrozik K, Broadhurst RJ, Anderson C: Ten-year survival after first-ever stroke in the perth community stroke study. Stroke. 2003, 34: 1842-1846. 10.1161/01.STR.0000082382.42061.EE.

    PubMed  Google Scholar 

  135. 135.

    Hodgson C: Prevalence and disabilities of community-living seniors who report the effects of stroke. Can Med Assoc J. 1998, 159: S9-S14.

    Google Scholar 

  136. 136.

    Kiyohara Y, Kubo M, Kato I, Tanizaki Y, Tanaka K, Okubo K, Nakamura H, Iida M: Ten-year prognosis of stroke and risk factors for death in a Japanese community: the Hisayama study. Stroke. 2003, 34: 2343-2347. 10.1161/01.STR.0000091845.14833.43.

    PubMed  Google Scholar 

  137. 137.

    Launbjerg J, Fruergaard P, Madsen JK, Mortensen LS, Hansen JF: Ten year mortality in patients with suspected acute myocardial infarction. BMJ. 1994, 308: 1196-1199.

    CAS  PubMed  PubMed Central  Google Scholar 

  138. 138.

    Rosamond WD, Folsom AR, Chambless LE, Wang CH, McGovern PG, Howard G, Copper LS, Shahar E: Stroke incidence and survival among middle-aged adults: 9-year follow-up of the Atherosclerosis Risk in Communities (ARIC) cohort. Stroke. 1999, 30: 736-743.

    CAS  PubMed  Google Scholar 

  139. 139.

    Simoons ML, Vos J, Martens LL: Cost-utility analysis of thrombolytic therapy. Eur Heart J. 1991, 12: 694-699.

    CAS  PubMed  Google Scholar 

  140. 140.

    Tengs TO, Lin TH: A meta-analysis of quality-of-life estimates for stroke. Pharmacoeconomics. 2003, 21: 191-200. 10.2165/00019053-200321030-00004.

    PubMed  Google Scholar 

  141. 141.

    Heart Disease and Stroke Statistics - 2005 update. American Heart Association. 2005, []

  142. 142.

    McGovern PG, Jacobs DR, Shahar E, Arnett DK, Folsom AR, Blackburn H, Luepker RV: Trends in acute coronary heart disease mortality, morbidity, and medical care from 1985 through 1997: the Minnesota heart survey. Circulation. 2001, 104: 19-24.

    CAS  PubMed  Google Scholar 

  143. 143.

    Williams GR, Jiang JG, Matchar DB, Samsa GP: Incidence and occurrence of total (first-ever and recurrent) stroke. Stroke. 1999, 30: 2523-2528.

    CAS  PubMed  Google Scholar 

  144. 144.

    Almela P, Benages A, Peiro S, Minguez M, Pena A, Pascual I, Mora F: Outpatient management of upper digestive hemorrhage not associated with portal hypertension: a large prospective cohort. Am J Gastroenterol. 2001, 96: 2341-2348. 10.1111/j.1572-0241.2001.04087.x.

    CAS  PubMed  Google Scholar 

  145. 145.

    Bjorkman DJ, Zaman A, Fennerty MB, Lieberman D, Disario JA, Guest-Warnick G: Urgent vs. elective endoscopy for acute non-variceal upper-GI bleeding: an effectiveness study. Gastrointest Endosc. 2004, 60: 1-8. 10.1016/S0016-5107(04)01287-8.

    PubMed  Google Scholar 

  146. 146.

    Cebollero-Santamaria F, Smith J, Gioe S, Van Frank T, Mc CR, Airhart J, Perrillo R: Selective outpatient management of upper gastrointestinal bleeding in the elderly. Am J Gastroenterol. 1999, 94: 1242-1247. 10.1111/j.1572-0241.1999.01073.x.

    CAS  PubMed  Google Scholar 

  147. 147.

    Longstreth GF, Feitelberg SP: Outpatient care of selected patients with acute non-variceal upper gastrointestinal haemorrhage. Lancet. 1995, 345: 108-111. 10.1016/S0140-6736(95)90068-3.

    CAS  PubMed  Google Scholar 

  148. 148.

    Peura DA, Lanza FL, Gostout CJ, Foutch PG: The American College of Gastroenterology Bleeding Registry: preliminary findings. Am J Gastroenterol. 1997, 92: 924-928.

    CAS  PubMed  Google Scholar 

  149. 149.

    Podila PV, Ben Menachem T, Batra SK, Oruganti N, Posa P, Fogel R: Managing patients with acute, nonvariceal gastrointestinal hemorrhage: development and effectiveness of a clinical care pathway. Am J Gastroenterol. 2001, 96: 208-219. 10.1111/j.1572-0241.2001.03477.x.

    CAS  PubMed  Google Scholar 

  150. 150.

    Barkun A, Sabbah S, Enns R, Armstrong D, Gregor J, Fedorak RN, Rahme E, Toubouti Y, Martel M, Chiba N, Fallone CA: The Canadian Registry on Nonvariceal Upper Gastrointestinal Bleeding and Endoscopy (RUGBE): Endoscopic hemostasis and proton pump inhibition are associated with improved outcomes in a real-life setting. Am J Gastroenterol. 2004, 99: 1238-1246. 10.1111/j.1572-0241.2004.30272.x.

    PubMed  Google Scholar 

  151. 151.

    Barkun AN, Cockeram AW, Plourde V, Fedorak RN: Review article: acid suppression in non-variceal acute upper gastrointestinal bleeding. Aliment Pharmacol Ther. 1999, 13: 1565-1584. 10.1046/j.1365-2036.1999.00623.x.

    CAS  PubMed  Google Scholar 

  152. 152.

    Branicki FJ, Coleman SY, Fok PJ, Pritchett CJ, Fan ST, Lai EC, Mok FP, Cheung WL, Lau PW, Tuen HH, .: Bleeding peptic ulcer: a prospective evaluation of risk factors for rebleeding and mortality. World J Surg. 1990, 14: 262-269. 10.1007/BF01664889.

    CAS  PubMed  Google Scholar 

  153. 153.

    Garripoli A, Mondardini A, Turco D, Martinoglio P, Secreto P, Ferrari A: Hospitalization for peptic ulcer bleeding: evaluation of a risk scoring system in clinical practice. Dig Liver Dis. 2000, 32: 577-582. 10.1016/S1590-8658(00)80839-7.

    CAS  PubMed  Google Scholar 

  154. 154.

    Katschinski B, Logan R, Davies J, Faulkner G, Pearson J, Langman M: Prognostic factors in upper gastrointestinal bleeding. Dig Dis Sci. 1994, 39: 706-712. 10.1007/BF02087411.

    CAS  PubMed  Google Scholar 

  155. 155.

    Klebl FH, Bregenzer N, Schofer L, Tamme W, Langgartner J, Scholmerich J, Messmann H: Comparison of inpatient and outpatient upper gastrointestinal haemorrhage. Int J Colorectal Dis. 2005, 20: 368-375. 10.1007/s00384-004-0642-0.

    PubMed  Google Scholar 

  156. 156.

    Lazzaroni M, Bianchi PG: Gastrointestinal side-effects of traditional non-steroidal anti-inflammatory drugs and new formulations. Aliment Pharmacol Ther. 2004, 20 Suppl 2: 48-58. 10.1111/j.1365-2036.2004.02037.x.

    CAS  PubMed  Google Scholar 

  157. 157.

    Masson J, Bramley PN, Herd K, McKnight GM, Park K, Brunt PW, McKinlay AW, Sinclair TS, Mowat NA: Upper gastrointestinal bleeding in an open-access dedicated unit. J R Coll Physicians Lond. 1996, 30: 436-442.

    CAS  PubMed  Google Scholar 

  158. 158.

    Phang TS, Vornik V, Stubbs R: Risk assessment in upper gastrointestinal haemorrhage: implications for resource utilisation. N Z Med J. 2000, 113: 331-333.

    CAS  PubMed  Google Scholar 

  159. 159.

    Abt Associates Clinical Trials. SUCCESS-1 costing review for the United States. 2004

  160. 160.

    Spiegel BM, Vakil NB, Ofman JJ: Dyspepsia management in primary care: a decision analysis of competing strategies. Gastroenterology. 2002, 122: 1270-1285. 10.1053/gast.2002.33019.

    PubMed  Google Scholar 

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Correspondence to Dale Rublee.

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Competing interests

This study was supported by Pfizer Inc, New York, USA. Dale Rublee is a full-time employee of Pfizer Inc. He holds stock options in Pfizer. Michael Loyd & Associates Ltd has consulting agreements with Pfizer Inc for this study and a related study. He owns Pfizer stock. Philip Jacobs received honoraria from Pfizer Inc and Michael Loyd & Associates Ltd.

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All authors contributed to the design, conduct and analysis of the study, modeling decisions, and the preparation of the manuscript. All authors read and approved the final manuscript.

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Loyd, M., Rublee, D. & Jacobs, P. An economic model of long-term use of celecoxib in patients with osteoarthritis. BMC Gastroenterol 7, 25 (2007).

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  • Peptic Ulcer
  • Celecoxib
  • Dyspepsia
  • Nonulcer Dyspepsia
  • Analytic Horizon