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Record W6910466240 · doi:10.48448/g86p-w039

Association of Peer Review with Completeness of Reporting, Transparency for Risk of Bias, and Spin in Diagnostic Test Accuracy Studies Published in Imaging Journals

2022· other· en· W6910466240 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueUnderline Science Inc. · 2022
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsDiagnostic accuracyTransparency (behavior)Diagnostic testWilcoxon signed-rank testCompleteness (order theory)Test (biology)Medical imaging

Abstract

fetched live from OpenAlex

Objective To evaluate whether peer review of diagnostic test accuracy (DTA) studies published by imaging journals is associated with changes in completeness of reporting, transparency of risk of bias, and spin, given that there is limited evidence to support the concept that peer review improves the completeness of research reporting.1,2<br> <br>Design This retrospective cross-sectional study evaluated articles published in the Journal of Magnetic Resonance Imaging (JMRI; 2019 impact factor [IF], 4.0), the Canadian Association of Radiologists Journal (CARJ; IF, 1.7), and European Radiology (EuRad; IF, 4.1) before March 31, 2020.3 Initial submitted and final versions of manuscripts were screened consecutively in reverse chronological order to include a minimum of 23 articles (based on power calculation) per journal. At least 30 eligible articles from each journal were collected when available to account for potential exclusions. Primary studies evaluating the diagnostic accuracy of an imaging test in humans were included. Studies exclusively reporting on prognostic or predictive tests were excluded. Studies were evaluated independently by 2 reviewers blinded to version for completeness of reporting using the Standards for Reporting Diagnostic Accuracy Studies (STARD) 2015 and STARD for Abstracts guidelines, transparency of reporting for risk of bias assessment based on the Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2), and actual and potential spin using modified published criteria. Two-tailed paired t-tests and paired Wilcoxon signed-rank tests were used for comparisons; P < .05 was considered statistically significant.<br> <br>Results Of 692 diagnostic accuracy studies screened, 84 articles published in 2014 to 2020 from 3 journals were included: JMRI, 30 articles; CARJ, 23; and EuRad, 31. Reporting by STARD 2015 increased between initial submissions and final accepted versions (mean reported items 16.67 vs 17.47; change, 0.80 [95% CI, 0.25 to 1.17]; P = .002). From STARD, sources of funding and other support (item 30.1) and role of funders (item 30.2) had the largest change of 0.32 (P < .001). No difference was found for the reporting of STARD for Abstracts (5.28 vs 5.25; change, −0.03; 95% CI, −0.15 to 0.11; P = .74); QUADAS-2 (6.08 vs 6.11; 0.03; 95% CI, −1.00 to 0.50; P = .92); actual spin (2.36 vs 2.40; change, 0.04; 95% CI, 0.00 to 1.00; P = .39); or potential spin practices (2.93 vs 2.81; change, −0.12; 95% CI, −1.00 to 0.00; P = .23) (Figure 20).<br> <br>https://assets.underline.io/uploads/markdown_image/1/image/54b0fafbe137d88e35b76a7ddac25b9a.png<br> <br>Conclusions This retrospective cross-sectional study found that peer review was associated with a marginal improvement in completeness of full text; however, it was not associated with abstract reporting in published imaging DTA studies nor with improvement in transparency for risk of bias assessment or reduction in spin. Considering that this study included articles from only 3 radiology journals, the findings may not be generalizable to other journals, other fields of DTA research, or non-DTA study designs. Interventions such as reviewer training and use of checklists should be evaluated.<br> <br>References 1. Jefferson T, Rudin M, Brodney Folse S, Davidoff F. Editorial peer review for improving the quality of reports of biomedical studies. Cochrane Library. 2020. doi:10.1002/14651858.MR000016.pub3<br> <br>2. Bruce R, Chauvin A, Trinquart L, Ravaud P, Boutron I. Impact of interventions to improve the quality of peer review of biomedical journals: a systematic review and metaanalysis. BMC Medicine. 2016;14(1):1-16. doi:10.1186/ s12916-016-0631-5<br> <br>3. Clarivate Analytics. Journal Citation Reports. 2019 Journal Impact Factor. Accessed July 11, 2020. https://clarivate.com/blog/announcing-the-2019-journal-citation-reports/<br> <br>Conflict of Interest Disclosures Mark Schweitzer, Yves Menu, Michael Patlas, and Kelly D. Cobey have active affiliations with the 3 journals used as data sources but had no role in data extraction, analysis, or interpretation, but reviewed and approved the work. Michael Patlas reported an editorial honorarium from Springer outside of the submitted work. No other disclosures were reported.<br> <br>Funding/Support Funding support was received from the Philips−Radiological Society of North America research seed grant (RSNA Research & Education Foundation), Mitacs Research Training Award, and the Department of Radiology MD Summer Student Fund at the University of Ottawa. Study performance and manuscript content were the sole task and responsibility of the investigators and do not necessarily represent the official views of the funders.<br> <br>Role of the Funder/Sponsor The funders had no role in data collection, analysis, interpretation, or manuscript composition.<br> <br>Acknowledgments Sakib Kazi and Robert A. Frank contributed equally to this work.<br> <br>https://assets.underline.io/uploads/markdown_image/1/image/0407c7b1d6b20790b2200ea4ae9cd9e1.png

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.030
metaresearch head score (Gemma)0.405
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow)
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.650
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0300.405
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0020.004
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.106
GPT teacher head0.402
Teacher spread0.296 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

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Published2022
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