Evidence map›Paper›PMID 34278828›Full record

SynthesisJournal of the American Heart Association2021

Effects of Experimental Interventions to Improve the Biomedical Peer-Review Process: A Systematic Review and Meta-Analysis.

Mario Gaudino, N Bryce Robinson, Antonino Di Franco, Irbaz Hameed, Ajita Naik, Michelle Demetres, Leonard N Girardi, Giacomo Frati, Stephen E Fremes, Giuseppe Biondi-Zoccai

Abstract readSystematic ReviewNetwork Meta-Analysis
In one paragraph

Synthesis in Journal of the American Heart Association, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Recognizing excellence in peer review.Experimental physiology · 2026
    Article
  3. Recognizing excellence in peer review.The Journal of physiology · 2026
    Article
  4. Article
  5. The present and future of peer review: Ideas, interventions, and evidence.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  6. Article
  7. Article
  8. Analysis of gender representation, authorship inflation, and institutional affiliation in abstract acceptance: a 5-year study.Global surgical education : journal of the Association for Surgical Education · 2023
    Article
  9. Article
  10. Article
  11. Reviewing Peer Review.Journal of the American Heart Association · 2021
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Mario GaudinoDepartment of Cardiothoracic Surgery Weill Cornell Medicine New York NY.
N Bryce RobinsonDepartment of Cardiothoracic Surgery Weill Cornell Medicine New York NY.
Antonino Di FrancoDepartment of Cardiothoracic Surgery Weill Cornell Medicine New York NY.
Irbaz HameedDepartment of Cardiothoracic Surgery Weill Cornell Medicine New York NY.
Ajita NaikDepartment of Cardiothoracic Surgery Weill Cornell Medicine New York NY.
Michelle DemetresSamuel J. Wood Library and C.V. Starr Biomedical Information Centre Weill Cornell Medicine New York NY.
Leonard N GirardiDepartment of Cardiothoracic Surgery Weill Cornell Medicine New York NY.
Giacomo FratiDepartment of Medical-Surgical Sciences and Biotechnologies Sapienza University of Rome Latina Italy.
Stephen E FremesSchulich Heart Centre Sunnybrook Health Science University of Toronto Toronto Canada.
Giuseppe Biondi-ZoccaiDepartment of Medical-Surgical Sciences and Biotechnologies Sapienza University of Rome Latina Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Quality of the peer-review process has been tested only in small studies. We describe and summarize the randomized trials that investigated interventions aimed at improving peer-review process of biomedical manuscripts. Methods and Results All randomized trials comparing different peer-review interventions at author-, reviewer-, and/or editor-level were included. Differences between traditional and intervention-modified peer-review processes were pooled as standardized mean difference (SMD) in quality based on the definitions used in the individual studies. Main outcomes assessed were quality and duration of the peer-review process. Five-hundred and seventy-five studies were retrieved, eventually yielding 24 randomized trials. Eight studies evaluated the effect of interventions at author-level, 16 at reviewer-level, and 3 at editor-level. Three studies investigated interventions at multiple levels. The effects of the interventions were reported as mean change in review quality, duration of the peer-review process, acceptance/rejection rate, manuscript quality, and number of errors detected in 13, 11, 5, 4, and 3 studies, respectively. At network meta-analysis, reviewer-level interventions were associated with a significant improvement in review quality (SMD, 0.20 [0.06 to 0.33]), at the cost of increased duration of the review process (SMD, 0.15 [0.01 to 0.29]), except for reviewer blinding. Author- and editor-level interventions did not significantly impact peer-review quality and duration (respectively, SMD, 0.17 [-0.16 to 0.51] and SMD, 0.19 [-0.40 to 0.79] for quality, and SMD, 0.17 [-0.16 to 0.51] and SMD, 0.19 [-0.40 to 0.79] for duration). Conclusions Modifications of the traditional peer-review process at reviewer-level are associated with improved quality, at the price of longer duration. Further studies are needed. Registration URL: https://www.crd.york.ac.uk/prospero; Unique identifier: CRD42020187910.

Indexed as

Biomedical ResearchEditorial PoliciesPeer Review, ResearchPeriodicals as TopicHumansQuality ControlRandomized Controlled Trials as TopicTime Factorsnetwork meta‐analysispeer‐reviewreview quality

Identifiers

PMID34278828
PMCPMC8475712

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.