ArticleScience and engineering ethics2019
Is Biomedical Research Protected from Predatory Reviewers?
Article in Science and engineering ethics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed.
- Does the disconnect between the peer-reviewed label and reality explain the peer review crisis, and can open peer review or preprints resolve it? A narrative review.Naunyn-Schmiedeberg's archives of pharmacology · 2026Review
- Ten Ways to Improve Getting a Scientific Manuscript Accepted.Head and neck pathology · 2024Article
- The Peer Review Process: Past, Present, and Future.British journal of biomedical science · 2024Review
- How do Clarivate Analytics and Publons propose to fortify peer review in the COVID-19 era?Journal of Taibah University Medical Sciences · 2021Article
- Are negative reviews, predatory reviewers or failed peer review rewarded at Publons?International orthopaedics · 2020Article
- Predatory journals: a major threat in orthopaedic research.International orthopaedics · 2019Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Authors endure considerable hardship carrying out biomedical research, from generating ideas to completing their manuscripts and submitting their findings and data (as is increasingly required) to a journal. When researchers submit to journals, they entrust their findings and ideas to editors and peer reviewers who are expected to respect the confidentiality of peer review. Inherent trust in peer review is built on the ethical conduct of authors, editors and reviewers, and on the respect of this confidentiality. If such confidentiality is breached by unethical reviewers who might steal or plagiarize the authors' ideas, researchers will lose trust in peer review and may resist submitting their findings to that journal. Science loses as a result, scientific and medical advances slow down, knowledge may become scarce, and it is unlikely that increasing bias in the literature will be detected or eliminated. In such a climate, society will ultimately be deprived from scientific and medical advances. Despite a rise in documented cases of abused peer review, there is still a relative lack of qualitative and quantitative studies on reviewer-related misconduct, most likely because evidence is difficult to come by. Our paper presents an assessment of editors' and reviewers' responsibilities in preserving the confidentiality of manuscripts during the peer review process, in response to a 2016 case of intellectual property theft by a reviewer. Our main objectives are to propose additional measures that would offer protection of authors' intellectual ideas from predatory reviewers, and increase researchers' awareness of the responsible reviewing of journal articles and reporting of biomedical research.
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.