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Enregistrement W7115728806 · doi:10.48448/t85w-fd88

Reminding Peer Reviewers to Comment on Reporting Items as Instructed by the Journal? An Analysis of 2 Randomized Trials

2025· other· W7115728806 sur OpenAlexaboutno aff

Notice bibliographique

RevueUnderline Science Inc. · 2025
Typeother
Langue
Domaine
Thématique
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésRandomized controlled trialIntervention (counseling)Peer reviewMEDLINEPeer groupMeta-analysisPsychological intervention

Résumé

récupéré en direct d'OpenAlex

Hillary Wnfried Ramirez,<sup>1,2,3</sup> Malena Chiaborelli,<sup>1,2,3</sup> Christof M. Schönenberger,<sup>1</sup> Katie Mellor,<sup>4,5</sup> Alexandra N. Griessbach,<sup>1</sup> Paula Dhiman,<sup>4,6</sup> Pooja Gandhi,<sup>7</sup> Szimonetta Lohner,<sup>8,9</sup> Arnav Agarwal,<sup>10,11</sup> Ayodele Odutayo,<sup>5,12</sup> Michael M. Schlussel,<sup>4,6</sup> Philippe Ravaud,<sup>13,14</sup> David Moher,<sup>15,16 </sup>Matthias Briel,<sup>1,10</sup> Isabelle Boutron,<sup>13,14</sup> Sally Hopewell,<sup>4</sup> Sara Schroter,<sup>17,18 </sup>Benjamin Speich<sup>1,4</sup> <h4>Objective </h4> Two randomized controlled trials (RCTs) conducted at journal level have shown that reminding peer reviewers about the 10 most important and underreported reporting items did not improve the reporting quality in published articles.<sup>1</sup> With this pooled in-depth analysis of peer reviewer reports, we aimed to assess at what stage the intervention failed. <h4>Design</h4> A subsample of peer reviewer reports from the control group (receiving no reminder) and the intervention group (receiving a reminder of the 10 most important reporting items) were analyzed. In brief, 2 blinded authors independently extracted from peer reviewer reports how many of the 10 key reporting items were flagged by peer reviewers for clarification. The main outcome of this analysis was the mean proportion of the 10 selected reporting items for which at least 1 peer reviewer requested clarification, assessed at the manuscript level. Furthermore, we assessed how many requested changes were later adequately reported in published articles. <h4>Results </h4> Across the RCTs, we had access to peer reviewer reports for 533 manuscripts (265 in the intervention group, assessing comments from 740 peer reviewers; and 268 in the control group, assessing comments from 719 peer reviewers). Our results indicate that reviewers in the intervention group requested clarification on more reporting items than those in the control group. Overall, reviewers in the intervention group flagged 21.1% of the 10 reporting items for clarification compared with 13.1% in the control group (mean difference, 8.0 percentage points (pp); 95% CI, 4.9-11.1 pp). However, the overall mean difference between groups was diluted from 8.0 to 4.2 pp when only assessing accepted and published articles and decreased even further to 2.6 pp when only considering changes that were then implemented by authors of manuscripts (<b>Table 25-0956</b>). Approximately 55% of reporting items that were criticized by peer reviewers were later adequately reported in the published article (intervention group, 173 of 308 [56.2%]; control group, 105 of 197 [53.3%]). https://assets.underline.io/markdown_image/1/image/80fe50628cb162743e45faadd6604b8b.png <h4>Conclusions</h4> Reminding peer reviewers to check reporting items increased their focus on reporting guidelines, leading to more reporting-related requests in their review reports. However, the effect was diluted during the peer review process (particularly due to rejected articles and requests not being implemented by authors). Journals should therefore make sure that requested clarifications are adequately addressed in revised manuscripts. <h4>Reference</h4> 1. Speich B, Mann E, Schönenberger CM, et al. Reminding peer reviewers of reporting guideline items to improve completeness in published articles: primary results of 2 randomized trials. <i>JAMA Netw Open</i>. 2023;6(6):e2317651. <sup>1</sup>CLEAR Methods Center, Division of Clinical Epidemiology, Department Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland, benjamin.speich@usb.ch; <sup>2</sup>Swiss Tropical and Public Health Institute, Basel, Switzerland; <sup>3</sup>University of Basel, Basel, Switzerland; <sup>4</sup>Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK; <sup>5</sup>Clinical Outcomes Assessment, Clarivate, London, UK; <sup>6</sup>The EQUATOR Network, Oxford, UK; <sup>7</sup>Department of Communication Sciences and Disorders, Faculty of Rehabilitation Medicine, University of Alberta, Edmonton, AL, Canada; <sup>8</sup>Cochrane Hungary, Medical School, University of Pécs, Pécs, Hungary; <sup>9</sup>MTA–PTE Lendület “Momentum” Evidence in Medicine Research Group, Department of Public Health Medicine, Medical School, University of Pécs, Pécs, Hungary; <sup>10</sup>Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada; <sup>11</sup>Division of General Internal Medicine, Department of Medicine, McMaster University, Hamilton, ON, Canada; <sup>12</sup>Division of Nephrology, Toronto General Hospital, University Health Network, Toronto, ON, Canada; <sup>13</sup>Centre d’Épidémiologie Clinique, Hôpital Hôtel-Dieu, Assistance Publique Hôpitaux de Paris, Paris, France;<sup>14</sup>Université de Paris, CRESS, Inserm, INRA, Paris, France; <sup>15</sup>Centre for Journalology, Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada; <sup>16</sup>Faculty of Medicine, School of Epidemiology and Public Health, University of Ottawa, Ottawa, Ontario, Canada; <sup>17</sup><i>The BMJ</i>, London, UK; <sup>18</sup>Faculty of Public Health &amp; Policy, London School of Hygiene &amp; Tropical Medicine, London, UK. <h4>Conflict of Interest Disclosures</h4> Benjamin Speich and Matthias Briel reported receiving unrestricted grants from Moderna for studies unrelated to the presented work. Sara Schroter is employed by BMJ Publishing Group. Katie Mellor is employed by Clarivate. David Moher, Sally Hopewell, and Isabelle Boutron are members of the Consolidated Standards for Reporting Trials (CONSORT) executive board and authors of the CONSORT 2010 statement. David Moher is an author of the Standard Protocol Items: Recommendations for Interventional Trials (SPIRIT) 2013 statement. David Moher, Michael M. Schlussel, Paula Dhiman, and Philippe Ravaud are members of the Enhancing the Quality and Transparency of Research (EQUATOR) network. Isabelle Boutron and David Moher are members of the Peer Review Congress Advisory Board but were not involved in the review or decision for this abstract. No other disclosures were reported. <h4>Funding/Support </h4> Benjamin Speich was supported by a Return Postdoc.Mobility (P4P4PM194496) grant from the Swiss National Science Foundation. Christof M. Schönenberger was funded by the Janggen Pöhn Foundation and the Swiss National Science Foundation (MD-PhD grant No. 323530221860). Szimonetta Lohner was supported by the Hungarian Academy of Sciences (MTA) within the framework of the Lendület Programme. <h4>Role of the Funder/Sponsor</h4> The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. <h4>Additional Information</h4> Both trials (CONSORT-PR and SPIRIT-PR) were prospectively registered on Open Science Framework (<a href="https://osf.io/c4hn8"><span class="Hyperlink CharOverride-6">https://osf.io/c4hn8</span></a> and <a href="https://osf.io/z2hm9"><span class="Hyperlink CharOverride-6">https://osf.io/z2hm9</span></a>).

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,400
score de la tête « metaresearch » (Gemma)0,465
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche, Méta-épidémiologie (sens strict), Méta-épidémiologie (sens large), Bibliométrie, Études des sciences et des technologies, Communication savante, Science ouverte, Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesMétarecherche, Méta-épidémiologie (sens strict), Bibliométrie, Études des sciences et des technologies
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Autre · Signal consensuel: aucune
Score de désaccord entre enseignants0,353
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,4000,465
Méta-épidémiologie (sens strict)0,0020,001
Méta-épidémiologie (sens large)0,0150,003
Bibliométrie0,0140,027
Études des sciences et des technologies0,0030,005
Communication savante0,0020,001
Science ouverte0,0060,001
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,0080,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,095
Tête enseignante GPT0,427
Écart entre enseignants0,332 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.

Devis d'étudeSans objet
Domainenon disponible
GenreAutre

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

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Publié2025
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