ReviewBMJ open2015
Peer review comments on drug trials submitted to medical journals differ depending on sponsorship, results and acceptance: a retrospective cohort study.
Review in BMJ open, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- How to report neurotechnology and artificial intelligence studies in epilepsy: Peer-review-inspired recommendations.Epilepsia open · 2025Article
- What feedback do reviewers give when reviewing qualitative manuscripts? A focused mapping review and synthesis.BMC medical research methodology · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveDuring peer review, submitted manuscripts are scrutinised by independent experts to assist journal editors in their decision-making and to help improve the quality of articles. In this retrospective cohort study, peer review comments for drug trials submitted to medical journals were analysed to investigate whether there is a relation between the content of these comments and sponsorship, direction of results and decision about acceptance. DESIGN/
settingDescriptive content analysis of reviewer comments made on manuscripts on drug trials submitted to eight medical journals (January 2010-April 2012). For each manuscript, the number of reviewers, decision about acceptance, sponsorship and direction of results were extracted. Reviewer comments were classified using a predefined checklist.
resultsReviewer reports for 246 manuscripts were assessed. Industry-sponsored trials were more likely to receive comments about lack of novelty (8.9%) than industry-supported (2.5%) and non-industry trials (6.1%, overall p=0.038). Non-industry trials more often received comments about poor experimental design (69.7%) than industry-supported (58.8%) and industry-sponsored trials (52.9%, overall p=0.019). Non-industry trials were also more likely to receive comments regarding inappropriate statistical analyses (28.4%) than industry-supported (23.5%) and industry-sponsored trials (15.1%, overall p=0.006). Manuscripts with negative results were more likely to receive comments about inappropriate conclusions (29.3%) than those with positive results (18.9%, p=0.010). Rejected manuscripts had more often received comments on the research question not being clinically relevant (7.8%) than accepted manuscripts (1.6%, p=0.002), and also on lack of novelty (8.3% vs 2.6%, p=0.008) and poor experimental design (68.6% vs 50.5%, p<0.001).
conclusionsReviewers identified fewer shortcomings regarding design and statistical analyses in industry-related trials, but commented more often on a lack of novelty in industry-sponsored trials. Negative trial results did not significantly influence the nature of comments other than appropriateness of the conclusion. Manuscript acceptance was primarily related to the research question and methodological robustness of studies.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.