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Record W7115676322 · doi:10.48448/adjd-2s75

Author Practices and experiences With PRISMA-P 2015

2025· other· W7115676322 on OpenAlexaboutno aff

Bibliographic record

VenueUnderline Science Inc. · 2025
Typeother
Language
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsSnowball samplingProtocol (science)Systematic reviewQualitative researchSample (material)MEDLINEData collectionResearch ethics

Abstract

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Mette B. Engmose,<sup>1,2</sup> An-Wen Chan,<sup>3</sup> Kerry Dwan,<sup>4</sup> Carsten Hinrichsen,<sup>5</sup> Asbjørn Hróbjartsson,<sup>1,2</sup> David Moher,<sup>6</sup> Matthew J. Page,<sup>7</sup> Larissa Shamseer,<sup>8</sup> Lesley A. Stewart,<sup>4</sup> Camilla H. Nejstgaard<sup>1,2</sup> <h4>Objective </h4> Systematic review protocols often adhere incompletely to the Preferred Reporting Items for Systematic review and Meta-Analysis Protocols (PRISMA-P) 2015.<sup>1</sup> Reporting guidelines need to be regularly updated to incorporate methodological developments, author feedback, and changed research context. We aimed to inform the update of PRISMA-P 2015<sup>2</sup> by exploring protocol authors’ practices and experiences with the reporting guideline. <h4>Design </h4> In a cross-sectional study, we investigated adherence to PRISMA-P 2015 and interviewed protocol authors. We randomly sampled 100 systematic review protocols from May 2021 to May 2024: 50 protocols published in PubMed-indexed journals and 50 protocols uploaded to or registered in OSF/PROSPERO. Two authors independently assessed the 26 PRISMA-P 2015 items as fully, partially, or not reported (or not applicable). We analyzed protocol adherence overall and at the item level. We invited 43 corresponding authors from our sample of 100 systematic review protocols for interviews on their experiences with using PRISMA-P 2015. The selection of authors was based on maximum variation and snowball sampling and personal network. We used a piloted, semistructured interview guide involving 3 predefined themes: level of experience, views on using PRISMA-P 2015, and reflections on the guideline’s strengths and weaknesses. We applied framework analysis to the interview transcripts. The study was reported according to Standards for Reporting Qualitative Research (SRQR).<sup>3</sup> <h4>Results </h4> The PubMed-indexed protocols fully adhered to a median of 60% (range, 36%-80%) of PRISMA-P 2015 items. The equivalent median for OSF/PROSPERO protocols was 45% (range, 25%-88%). In both types of protocols, items not adhered to in more than 25% of the protocols were related to protocol amendments (item 4), role of the funder (item 5c), methods for planned summary other than quantitative (item 15d), meta-bias(es) (item 16), and confidence in the cumulative evidence (item 17) (<b>Table 25-1033</b>). In both types of protocols, 11 items partially adhered to in more than 25% of the protocols were lacking, eg, descriptions of procedures for data selection from multiple reports of the same study (item 11c). Of the 43 invited authors, 15 (9 men, 6 women) participated in the interviews. From the predefined themes, several suggestions for the PRISMA-P 2015 update emerged. Some suggestions regarded adding or modifying existing content, eg, to report conflicts of interest or how to report data synthesis when no meta-analysis was planned; other suggestions were more generic, eg, to add links to the Elaboration &amp; Explanation paper. https://assets.underline.io/markdown_image/1/image/8a19657504ae87562517e7d38d9665ea.png <h4>Conclusions</h4> Adherence to PRISMA-P 2015 was inadequate in 50 systematic review protocols from PubMed-indexed journals and especially in 50 protocols from OSF/PROSPERO. Aspects often not adhered to were protocol amendments, role of the funder, methods for planned summary other than quantitative, meta-bias(es), and confidence in the cumulative evidence. The interviewed authors suggested several modifications of the guideline. Findings from this study will inform the update of PRISMA-P 2015. <h4>References</h4> 1. Frost AD, Hróbjartsson A, Nejstgaard CH. Adherence to the PRISMA-P 2015 reporting guideline was inadequate in systematic review protocols. <i>J Clin Epidemiol</i>. 2022;150:179-187. doi:10.1016/j.jclinepi.2022.07.002 2. Nejstgaard CH, Shamseer L, Chan A-W, et al. Updating the PRISMA-P reporting guideline for systematic review protocols. OSF. April 10, 2024. <a href="https://osf.io/2znc5/"><span class="Hyperlink CharOverride-6">https://osf.io/2znc5/</span></a> 3. O’Brien BC, Harris IB, Beckman TJ, et al. Standards for reporting qualitative research: a synthesis of recommendations. <i>Acid Med</i>. 2014;89(9):1245-1251. doi:10.1097/acm.0000000000000388 <sup>1</sup>Cochrane Denmark &amp; Centre for Evidence-Based Medicine Odense (CEBMO), Department of Clinical Research, University of Southern Denmark, Odense, Denmark, mengmose@health.sdu.dk; <sup>2</sup>Open Patient data Exploratory Network (OPEN), Odense University Hospital, Odense, Denmark; <sup>3</sup>Department of Medicine, Women’s College Research Institute, University of Toronto, Toronto, Ontario, Canada; <sup>4</sup>Centre for Reviews and Dissemination, University of York, York, UK; <sup>5</sup>National Institute of Public Health, University of Southern Denmark, Odense, Denmark; <sup>6</sup>Centre for Journalology, Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada; <sup>7</sup>Methods in Evidence Synthesis Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia; <sup>8</sup>Knowledge Translation Program, Li Ka Shing Knowledge Institute, St Michael’s Hospital, Unity Health Toronto, Toronto, Ontario, Canada. <h4>Conflict of Interest Disclosures </h4> An-Wen Chan, Kerry Dwan, Asbjørn Hróbjartsson, David Moher, Matthew J. Page, Larissa Shamseer, Lesley A. Stewart, and Camilla H. Nejstgaard are members of the steering group for the update of the PRISMA-P 2015 reporting guideline. All other authors declare no conflicts of interest related to financial interests, activities, relationships, and affiliations, including employment, affiliation, funding and grants received or pending, consultancies, honoraria or payment, speakers’ bureaus, stock ownership or options, expert testimony, royalties, donation of medical equipment, or patents planned, pending, or issued. An-Wen Chan and David Moher are members of the Peer Review Congress Advisory Board but were not involved in the review or decision for this abstract. <h4>Funding/Support </h4> This project did not receive any external funding; therefore, design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the abstract; and decision to submit the abstract for presentation were not influenced by any funder or sponsor.

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How this classification was reachedexpand

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)0.006
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.296
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.004
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.007
Science and technology studies0.0020.022
Scholarly communication0.0030.003
Open science0.0030.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.003

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 head0.035
GPT teacher head0.369
Teacher spread0.335 · 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

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2025
Admission routes1
Has abstractyes

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