Evidence map›Paper›PMID 26423855›Full record

ArticleBMJ open2015

Retrospective analysis of the quality of reports by author-suggested and non-author-suggested reviewers in journals operating on open or single-blind peer review models.

Maria K Kowalczuk, Frank Dudbridge, Shreeya Nanda, Stephanie L Harriman, Jigisha Patel, Elizabeth C Moylan

Abstract readComparative Study
In one paragraph

Article in BMJ open, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–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

20 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
  4. Review
  5. Article
  6. Tips and tricks for how to become a good reviewer.Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA · 2023
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Innovative Strategies for Peer Review.Journal of Korean medical science · 2020
    Article
  12. Article
  13. Article
  14. Review
  15. Should Authors be Requested to Suggest Peer Reviewers?Science and engineering ethics · 2018
    Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Maria K KowalczukBioMed Central, London, UK.ORCID http://orcid.org/0000-0001-9156-7130
Frank DudbridgeDepartment of Non-communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK.ORCID http://orcid.org/0000-0002-8817-8908
Shreeya NandaSpringer Healthcare, London, UK.
Stephanie L HarrimanBioMed Central, London, UK.ORCID http://orcid.org/0000-0001-5374-7464
Jigisha PatelBioMed Central, London, UK.ORCID http://orcid.org/0000-0002-4017-9055
Elizabeth C MoylanBioMed Central, London, UK.ORCID http://orcid.org/0000-0002-4651-4969

Funding

Medical Research Council MR/K006215/1
6 · The paper itself

Abstract

objectivesTo assess whether reports from reviewers recommended by authors show a bias in quality and recommendation for editorial decision, compared with reviewers suggested by other parties, and whether reviewer reports for journals operating on open or single-blind peer review models differ with regard to report quality and reviewer recommendations.

designRetrospective analysis of the quality of reviewer reports using an established Review Quality Instrument, and analysis of reviewer recommendations and author satisfaction surveys.

settingBioMed Central biology and medical journals. BMC Infectious Diseases and BMC Microbiology are similar in size, rejection rates, impact factors and editorial processes, but the former uses open peer review while the latter uses single-blind peer review. The Journal of Inflammation has operated under both peer review models. SAMPLE: Two hundred reviewer reports submitted to BMC Infectious Diseases, 200 reviewer reports submitted to BMC Microbiology and 400 reviewer reports submitted to the Journal of Inflammation.

resultsFor each journal, author-suggested reviewers provided reports of comparable quality to non-author-suggested reviewers, but were significantly more likely to recommend acceptance, irrespective of the peer review model (p<0.0001 for BMC Infectious Diseases, BMC Microbiology and the Journal of Inflammation). For BMC Infectious Diseases, the overall quality of reviewer reports measured by the Review Quality Instrument was 5% higher than for BMC Microbiology (p=0.042). For the Journal of Inflammation, the quality of reports was the same irrespective of the peer review model used.

conclusionsReviewers suggested by authors provide reports of comparable quality to non-author-suggested reviewers, but are significantly more likely to recommend acceptance. Open peer review reports for BMC Infectious Diseases were of higher quality than single-blind reports for BMC Microbiology. There was no difference in quality of peer review in the Journal of Inflammation under open peer review compared with single blind.

Indexed as

AuthorshipBiologyBiomedical ResearchEditorial PoliciesPublishingHumansJudgmentPeer ReviewPeriodicals as TopicPersonal SatisfactionResearch ReportRetrospective StudiesSingle-Blind MethodSurveys and QuestionnairesJournalologyPeer reviewReview Quality Instrument

Identifiers

PMID26423855
PMCPMC4593157

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.