Evidence map›Paper›PMID 30841850›Full record

SynthesisBMC medical research methodology2019

Tools used to assess the quality of peer review reports: a methodological systematic review.

Cecilia Superchi, José Antonio González, Ivan Solà, Erik Cobo, Darko Hren, Isabelle Boutron

Abstract readSystematic Review
In one paragraph

Synthesis in BMC medical research methodology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Trial
  2. Article
  3. Paying peer reviewers: benefits, risks, and challenges.Naunyn-Schmiedeberg's archives of pharmacology · 2026
    Review
  4. Review
  5. Article
  6. Article
  7. The Peer Review Process.Respiratory care · 2024
    Article
  8. Article
  9. Review
  10. Article
  11. Reviewer training for improving grant and journal peer review.The Cochrane database of systematic reviews · 2023
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Applications and Current Medico-Legal Challenges of Telemedicine in Ophthalmology.International journal of environmental research and public health · 2022
    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.

Cecilia SuperchiDepartment of Statistics and Operations Research, Barcelona-Tech, UPC, c/ Jordi Girona 1-3, 08034, Barcelona, Spain. cecilia.superchi@upc.edu.ORCID 0000-0002-5375-6018
José Antonio GonzálezDepartment of Statistics and Operations Research, Barcelona-Tech, UPC, c/ Jordi Girona 1-3, 08034, Barcelona, Spain.
Ivan SolàIberoamerican Cochrane Centre, Hospital de la Santa Creu i Sant Pau, C/ Sant Antoni Maria Claret 167, Pavelló 18 - planta 0, 08025, Barcelona, Spain.
Erik CoboDepartment of Statistics and Operations Research, Barcelona-Tech, UPC, c/ Jordi Girona 1-3, 08034, Barcelona, Spain.
Darko HrenDepartment of Psychology, Faculty of Humanities and Social Sciences, University of Split, Split, Croatia.
Isabelle BoutronCentre d'épidémiologie Clinique, Hôpital Hôtel-Dieu, 1 place du Paris Notre-Dame, 75004, Paris, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA strong need exists for a validated tool that clearly defines peer review report quality in biomedical research, as it will allow evaluating interventions aimed at improving the peer review process in well-performed trials. We aim to identify and describe existing tools for assessing the quality of peer review reports in biomedical research.

methodsWe conducted a methodological systematic review by searching PubMed, EMBASE (via Ovid) and The Cochrane Methodology Register (via The Cochrane Library) as well as Google® for all reports in English describing a tool for assessing the quality of a peer review report in biomedical research. Data extraction was performed in duplicate using a standardized data extraction form. We extracted information on the structure, development and validation of each tool. We also identified quality components across tools using a systematic multi-step approach and we investigated quality domain similarities among tools by performing hierarchical, complete-linkage clustering analysis.

resultsWe identified a total number of 24 tools: 23 scales and 1 checklist. Six tools consisted of a single item and 18 had several items ranging from 4 to 26. None of the tools reported a definition of 'quality'. Only 1 tool described the scale development and 10 provided measures of validity and reliability. Five tools were used as an outcome in a randomized controlled trial (RCT). Moreover, we classified the quality components of the 18 tools with more than one item into 9 main quality domains and 11 subdomains. The tools contained from two to seven quality domains. Some domains and subdomains were considered in most tools such as the detailed/thorough (11/18) nature of reviewer's comments. Others were rarely considered, such as whether or not the reviewer made comments on the statistical methods (1/18).

conclusionSeveral tools are available to assess the quality of peer review reports; however, the development and validation process is questionable and the concepts evaluated by these tools vary widely. The results from this study and from further investigations will inform the development of a new tool for assessing the quality of peer review reports in biomedical research.

Indexed as

Biomedical ResearchChecklistEvidence-Based MedicineHumansOutcome Assessment, Health CarePeer ReviewRandomized Controlled Trials as TopicReproducibility of ResultsResearch DesignResearch ReportMethodsPeer reviewQuality controlReportSystematic review

Identifiers

PMID30841850
PMCPMC6402095

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.