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Open Peer Review

This article has Open Peer Review reports available.

How does Open Peer Review work?

Prevalence and risk factors of gastroesophageal reflux symptoms in a Chinese retiree cohort

BMC Gastroenterology201212:161

DOI: 10.1186/1471-230X-12-161

Received: 8 June 2012

Accepted: 13 November 2012

Published: 15 November 2012

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Open Peer Review reports

Pre-publication versions of this article and author comments to reviewers are available by contacting info@biomedcentral.com.

Original Submission
8 Jun 2012 Submitted Original manuscript
Resubmission - Version 2
Submitted Manuscript version 2
15 Jun 2012 Reviewed Reviewer Report - P. Marco Fisichella
2 Sep 2012 Reviewed Reviewer Report - Greger Lindberg
29 Sep 2012 Author responded Author comments - Ming Lu
Resubmission - Version 3
29 Sep 2012 Submitted Manuscript version 3
Resubmission - Version 4
Submitted Manuscript version 4
3 Oct 2012 Reviewed Reviewer Report - P. Marco Fisichella
3 Nov 2012 Reviewed Reviewer Report - Greger Lindberg
Resubmission - Version 5
Submitted Manuscript version 5
Publishing
13 Nov 2012 Editorially accepted
15 Nov 2012 Article published 10.1186/1471-230X-12-161

How does Open Peer Review work?

Open peer review is a system where authors know who the reviewers are, and the reviewers know who the authors are. If the manuscript is accepted, the named reviewer reports are published alongside the article. Pre-publication versions of the article and author comments to reviewers are available by contacting info@biomedcentral.com. All previous versions of the manuscript and all author responses to the reviewers are also available.

You can find further information about the peer review system here.

Authors’ Affiliations

(1)
Clinical Epidemiology Unit, Qilu Hospital of Shandong University
(2)
Department of Epidemiology and Health Statistics, School of Public Health, Shandong University
(3)
MOE Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University
(4)
China Medical City Institute of Health Sciences
(5)
Department of Medical Epidemiology and Biostatistics, Karolinska Institutet

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