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Enregistrement W7115740986 · doi:10.48448/dy5y-wa88

Nonregistration, Discontinuation, and Nonpublication of Randomized Trials in Switzerland, the UK, Germany, and Canada: An Updated Meta-Research Study

2025· other· W7115740986 sur OpenAlexaboutno aff

Notice bibliographique

RevueUnderline Science Inc. · 2025
Typeother
Langue
Domaine
Thématique
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésRandomized controlled trialDiscontinuationClinical trialProtocol (science)Ethics committeeResearch ethicsTrial registration

Résumé

récupéré en direct d'OpenAlex

Benjamin Speich,1 Ala Taji Heravi,1 Johannes M. Schwenke,1 Christof M. Schönenberger,1 Lena Hausheer,1 Dmitry Gryaznov,1 Jason W. Busse,2,3 Manuela Covino,1 Szimonetta Lohner,4 Malena Chiaborelli,1 Ruben Ramirez,1 Ramon Saccilotto,5 Erik von Elm,6 Arnav Agarwal,3 Julian Hirt,7 David Mall,1 Alain Amstutz,1 Selina Epp,1 Dominik Mertz,3 Anette Blümle,8 Belinda von Niederhäusern,9 Ayodele Odutayo,10 Alexandra N. Griessbach,1 Sally Hopewell,11 Matthias Briel,1,3 for the ASPIRE Study Group Objective Previous studies found that approximately one-third of randomized clinical trials (RCTs) were discontinued prematurely and that the most common reason for stopping early was poor recruitment of participants. To minimize research waste, it is crucial that all RCTs are registered and make their results available. Hence, we aimed to (1) assess the fate of RCTs approved by ethics committees in 2016 in terms of nonregistration, discontinuation, and nonpublication and (2) examine RCT characteristics associated with discontinuation due to poor recruitment and nonpublication of RCT results. Design We had access to 347 RCT protocols that were approved in 2016 by research ethics committees in the UK, Switzerland, Germany, and Canada. Key trial characteristics were extracted from approved trial protocols. Trial registration was verified using registration numbers from the protocol and by searching the World Health Organization International Clinical Trials Registry Platform, ClinicalTrials.gov, European Union Clinical Trials Register, ISRCTN, and Google; trials were deemed nonregistered if not found. We searched for full-text publications in PubMed, Google Scholar, and Scopus. Searches for both registration and publication used (1) full titles, (2) short titles, (3) study acronyms, and (4) the study population and intervention. All searches were conducted in duplicate (last search, July 2024). In case the status of an RCT was unclear, we contacted the corresponding ethics committee or the principal investigator. We reported the proportion of nonregistered RCTs, discontinued RCTs (including reason for early discontinuation), and nonpublished RCTs (considering peer-reviewed publications and results in trial registries). Results Of the 347 included RCTs from 2016, 20 (5.8%) were nonregistered (industry-sponsored RCTs, 5 of 181 [2.8%]; nonindustry RCTs, 15 of 166 [9.0%]). Approximately one-third of RCTs (108 of 347 [31.1%]) were discontinued, most often due to poor recruitment (49 of 108 [45.4%]). A total of 276 of 347 RCTs (79.5%) made their results available at any source, 249 (71.8%) as a peer-reviewed publication, and 170 (49.0%) in the trial registry. Discontinued RCTs had lower result availability than completed RCTs (discontinued, 74 of 108 [68.5%]; completed, 202 of 226 [89.4%]). Results from industry-sponsored trials were more often available compared with nonindustry trials (92% vs 66%). This difference was driven by the fact that only 17 of 166 nonindustry RCTs (10.2%) reported results in trial registries compared with 153 of 181 industry trials (84.5%). The status of 4% of RCTs remained unclear despite our efforts to contact investigators. Conclusions Nonregistration, premature discontinuation due to poor recruitment, and nonpublication of RCT results remain major challenges, especially for nonindustry trials. 1Division of Clinical Epidemiology, Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland, johannesmanteo.schwenke@usb.ch; 2Department of Anesthesia, McMaster University, Hamilton, Ontario, Canada; 3Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada; 4MTA–PTE Lendület Momentum Evidence in Medicine Research Group, Medical School, University of Pécs, Pécs, Hungary; 5Clinical Trial Unit, Department of Clinical Research, University of Basel and University Hospital Basel, Basel, Switzerland; 6Cochrane Switzerland, Centre for Primary Care and Public Health (Unisante), University of Lausanne, Lausanne, Switzerland; 7Research Center for Clinical Neuroimmunology and Neuroscience Basel, University Hospital Basel and University of Basel, Basel, Switzerland; 8Clinical Trials Unit, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany; 9Roche Pharma AG, Grenzach-Wyhlen, Germany; 10University Health Network, Division of Nephrology, Department of Medicine, University of Toronto, Toronto, Ontario, Canada; 11Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK. Conflict of Interest Disclosures Benjamin Speich and Matthias Briel received unrestricted grants from Moderna for the conduct of the COVERALL-2 and COVERALL-3 study. Benjamin Speich has received honoraria from Moderna and Roche for presenting study results not related to this work. Johannes M. Schwenke is paid by the Swiss National Science Foundation for work unrelated to this project. No other disclosures were reported. Funding/Support The study is supported by the Swiss Federal Office of Public Health (Matthias Briel). Role of the Funder/Sponsor The funder had no role in the 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. Group Information The ASPIRE Study Group included Dmitry Gryaznov, Belinda von Niederhäusern, Benjamin Speich, Benjamin Kasenda, Elena Ojeda-Ruiz, Anette Blümle, Stefan Schandelmaier, Dominik Mertz, Ayodele Odutayo, Yuki Tomonaga, Alain Amstutz, Christiane Pauli-Magnus, Viktoria Gloy, Szimonetta Lohner, Karin Bischoff, Katharina Wollmann, Laura Rehner, Joerg J. Meerpohl, Alain Nordmann, Katharina Klatte, Nilabh Ghosh, Ala Taji Heravi, Jacqueline Wong, Ngai Chow, Patrick Jiho Hong, Kimberly McCord, Sirintip Sricharoenchai, Jason W. Busse, Lukas Kübler, Pooja Gandhi, Zsuzsanna Kontar, Julia Hüllstrung, Mona Elafy, Arnav Agarwal, Ramon Saccilotto, Alexandra N. Griessbach, Christof Schönenberger, Matthias Schwenkglenks, Giusi Moffa, Lars G. Hemkens, Sally Hopewell, Erik von Elm, and Matthias Briel. Additional Information Matthias Briel is a co–corresponding author (matthias.briel@usb.ch).

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)0,194
score de la tête « metaresearch » (Gemma)0,403
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche, Intégrité de la recherche
Catégories consensuellesMétarecherche
DomaineSignal candidat: Présentation des résultats · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,996
Score d'incertitude au seuil0,994

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,1940,403
Méta-épidémiologie (sens strict)0,0020,002
Méta-épidémiologie (sens large)0,0110,031
Bibliométrie0,0080,018
Études des sciences et des technologies0,0010,002
Communication savante0,0090,005
Science ouverte0,0040,003
Intégrité de la recherche0,0040,005
Charge utile insuffisante (le modèle a refusé de juger)0,0040,000

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 Opus0,133
Tête enseignante GPT0,417
Écart entre enseignants0,284 · 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'étudeObservationnel
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

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