MétaCan
Menu
Retour à la cohorte
Enregistrement W7115718224 · doi:10.48448/s878-pq12

Challenges in achieving uptake and journal endorsement of the ACcurate COnsensus Reporting Document (ACCORD) guideline

2025· other· W7115718224 sur OpenAlexaboutno aff

Notice bibliographique

RevueUnderline Science Inc. · 2025
Typeother
Langue
Domaine
Thématique
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésGuidelinePublishingSteering committeeDiscretionMEDLINEBibliometrics

Résumé

récupéré en direct d'OpenAlex

Christopher C. Winchester,1 Mark J. Rolfe,1 William T. Gattrell,2 Patricia Logullo,3 Keith Goldman,4 Amy Price,5 Paul Blazey,6 Esther J. van Zuuren,7 Niall Harrison8 Objective The ACcurate COnsensus Reporting Document (ACCORD) guideline supports the reporting of biomedical studies involving any consensus method.1 We evaluated its uptake by bibliometric analysis and qualitative and quantitative assessment of implementation activities 1 year post publication. Design An implementation plan2 was established by the ACCORD Steering Committee before guideline publication, including developing an explanation and elaboration (E&E) document, writing journal editorials, presenting at congresses, and encouraging journals and publishers to include ACCORD in author instructions. Guideline views and downloads (via PLOS Medicine,1 the publishing journal) and citations (Dimensions, plus additional references from the Steering Committee’s reference libraries) were obtained for the period from January 23, 2024, to January 22, 2025. Likely journal and publisher beneficiaries of ACCORD were identified by a literature search to determine the 10 journals that published the most consensus studies (Web of Science for 2020-2023) and other publications at the discretion of the Steering Committee. Relevant journal and publisher stakeholders were contacted directly or indirectly (eg, via journal websites). Activities were evaluated against the implementation plan2; journal and publisher responses were described. Results In the 1 year following publication, the ACCORD guideline was viewed 13,752 times, downloaded (full-text PDF) 3790 times, and cited 105 times (5 citations [4.8%] were in articles by ACCORD authors, including the ACCORD E&E3). Sources of guideline citations included consensus studies (67.6% [71 of 105]), reviews (11.4% [12 of 105]), study protocols (8.6% [9 of 105]), other reporting standards and guidelines (6.7% [7 of 105]), and editorials (3.8% [4 of 105]). Of the journals contacted by ACCORD Steering Committee members (between August 24, 2023 [preprint publication], and January 22, 2025), BMJ Open, British Journal of Dermatology, and Journal of Clinical Epidemiology mandated the use of ACCORD for consensus studies, while the British Journal of Sports Medicine, Internal Medicine Journal, and Pragmatic and Observational Research encouraged its use. PLOS has confirmed its intention to include the guideline in their author instructions. Although a further 4 journals have expressed interest in ACCORD and 1 publisher has offered to raise awareness via a webinar, they are yet to commit to its inclusion in author instructions; 2 journals and publishers have not responded to inquiries. Conclusions One year after publication, the ACCORD guideline has been cited and used to inform the design and reporting of consensus-based research. However, journal and publisher adoption has been limited, which may affect long-term uptake. Given the resources invested in developing reporting guidelines and their potential to improve reporting, the role of biomedical journals and publishers in their adoption warrants wider discussion. References 1. Gattrell WT, Logullo P, van Zuuren EJ, et al. ACCORD (ACcurate COnsensus Reporting Document): a reporting guideline for consensus methods in biomedicine developed via a modified Delphi. PLOS Med. 2024;21:e1004326. doi:10.1371/journal.pmed.1004326 2. Gattrell WT, Hungin AP, Price A, et al. ACCORD guideline for reporting consensus-based methods in biomedical research and clinical practice: a study protocol. Res Integr Peer Rev. 2022;7:3. doi:10.1186/s41073-022-00122-0 3. Logullo P, van Zuuren EJ, Winchester CC, et al. ACcurate COnsensus Reporting Document (ACCORD) explanation and elaboration: guidance and examples to support reporting consensus methods. PLOS Med. 2024;21:e1004390. doi:10.1371/journal.pmed.1004390 1Oxford PharmaGenesis, Oxford, UK, chris.winchester@pharmagenesis.com; 2Independent Medical Communications Professional, Oxfordshire, UK; 3Bodleian Libraries, University of Oxford, Oxford, UK; 4Medical Affairs + Health Impact, AbbVie, North Chicago, IL, US; 5Dartmouth Institute for Health Policy & Clinical Practice (TDI), Geisel School of Medicine, Dartmouth College, Hanover, NH, US; 6School of Kinesiology, Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada; 7Leiden University Medical Centre, Leiden, the Netherlands; 8OPEN Health Communications, London, UK. Conflict of Interest Disclosures Christopher C. Winchester is an employee, director, and shareholder of Oxford PharmaGenesis; a director of Oxford Health Policy Forum CIC; a trustee of the Friends of the National Library of Medicine; and an associate fellow of Green Templeton College, University of Oxford. Mark J. Rolfe is an employee of Oxford PharmaGenesis. William T. Gattrell was an independent medical communications professional at the time of this study and is currently an employee of Bristol Myers Squibb. Keith Goldman is an employee of AbbVie. Niall Harrison is an employee of OPEN Health Communications. Funding/Support Medical writing, editorial, and project management support for this abstract were provided by Oxford PharmaGenesis. Acknowledgments Medical writing support was provided by Alison Chisholm, with editorial support from Jenny Thorp, and administrative support was provided by Mehraj Ahmed, Ryan Gamble, and Jessica Miller. Additional Information No authors were reimbursed for participating in the initiative.

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 machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,788
score de la tête « metaresearch » (Gemma)0,907
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche
Catégories consensuellesMétarecherche
DomaineSignal candidat: Présentation des résultats · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,212
Score d'incertitude au seuil0,261

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,7880,907
Méta-épidémiologie (sens strict)0,0010,004
Méta-épidémiologie (sens large)0,0040,005
Bibliométrie0,0140,013
Études des sciences et des technologies0,0090,012
Communication savante0,0410,025
Science ouverte0,0160,024
Intégrité de la recherche0,0230,025
Charge utile insuffisante (le modèle a refusé de juger)0,0070,006

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 Opus0,089
Tête enseignante GPT0,364
Écart entre enseignants0,276 · 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; l’étiquette directe de Gemma et le classifieur distillé Codex s’accordent sur ce qui est montré ici.

Devis d'étudeSans objet
DomainePrésentation des résultats
GenreEmpirique

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

En bref

Citations0
Publié2025
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueUnderline Science Inc.Travaux en français237 207