Literature DB >> 30797567

Peer Review Bias: A Critical Review.

Samir Haffar1, Fateh Bazerbachi2, M Hassan Murad3.   

Abstract

Various types of bias and confounding have been described in the biomedical literature that can affect a study before, during, or after the intervention has been delivered. The peer review process can also introduce bias. A compelling ethical and moral rationale necessitates improving the peer review process. A double-blind peer review system is supported on equipoise and fair-play principles. Triple- and quadruple-blind systems have also been described but are not commonly used. The open peer review system introduces "Skin in the Game" heuristic principles for both authors and reviewers and has a small favorable effect on the quality of published reports. In this exposition, we present, on the basis of a comprehensive literature search of PubMed from its inception until October 20, 2017, various possible mechanisms by which the peer review process can distort research results, and we discuss the evidence supporting different strategies that may mitigate this bias. It is time to improve the quality, transparency, and accountability of the peer review system.
Copyright © 2018 Mayo Foundation for Medical Education and Research. Published by Elsevier Inc. All rights reserved.

Mesh:

Year:  2019        PMID: 30797567     DOI: 10.1016/j.mayocp.2018.09.004

Source DB:  PubMed          Journal:  Mayo Clin Proc        ISSN: 0025-6196            Impact factor:   7.616


  9 in total

1.  Prestige bias--an old, untreated enemy of the peer-review process.

Authors:  G Bazoukis
Journal:  Hippokratia       Date:  2020 Apr-Jun       Impact factor: 0.471

2.  Authors' names have 'astonishing' influence on peer reviewers.

Authors:  Nicola Jones
Journal:  Nature       Date:  2022-10-11       Impact factor: 69.504

Review 3.  Peer review: single-blind, double-blind, or all the way-blind?

Authors:  Tony Bazi
Journal:  Int Urogynecol J       Date:  2019-12-09       Impact factor: 2.894

4.  The value of peer review.

Authors:  Benedict Rogers
Journal:  Ann R Coll Surg Engl       Date:  2020-11-24       Impact factor: 1.891

5.  An experimental test of the effects of redacting grant applicant identifiers on peer review outcomes.

Authors:  Richard K Nakamura; Lee S Mann; Mark D Lindner; Jeremy Braithwaite; Mei-Ching Chen; Adrian Vancea; Noni Byrnes; Valerie Durrant; Bruce Reed
Journal:  Elife       Date:  2021-10-19       Impact factor: 8.140

6.  Reimagining peer review as an expert elicitation process.

Authors:  Alexandru Marcoci; Ans Vercammen; Martin Bush; Daniel G Hamilton; Anca Hanea; Victoria Hemming; Bonnie C Wintle; Mark Burgman; Fiona Fidler
Journal:  BMC Res Notes       Date:  2022-04-05

7.  An Empirical Assessment of Reviewer 2.

Authors:  Christopher Worsham; Jaemin Woo; André Zimerman; Charles F Bray; Anupam B Jena
Journal:  Inquiry       Date:  2022 Jan-Dec       Impact factor: 2.099

8.  The role of geographic bias in knowledge diffusion: a systematic review and narrative synthesis.

Authors:  Mark Skopec; Hamdi Issa; Julie Reed; Matthew Harris
Journal:  Res Integr Peer Rev       Date:  2020-01-15

9.  Large-scale language analysis of peer review reports.

Authors:  Ivan Buljan; Daniel Garcia-Costa; Francisco Grimaldo; Flaminio Squazzoni; Ana Marušić
Journal:  Elife       Date:  2020-07-17       Impact factor: 8.713

  9 in total

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