The methodological quality of 176,620 randomized controlled trials published between 1966 and 2018 reveals a positive trend but also an urgent need for improvement.


Journal

PLoS biology
ISSN: 1545-7885
Titre abrégé: PLoS Biol
Pays: United States
ID NLM: 101183755

Informations de publication

Date de publication:
04 2021
Historique:
received: 13 08 2020
accepted: 01 03 2021
revised: 29 04 2021
pubmed: 20 4 2021
medline: 25 8 2021
entrez: 19 4 2021
Statut: epublish

Résumé

Many randomized controlled trials (RCTs) are biased and difficult to reproduce due to methodological flaws and poor reporting. There is increasing attention for responsible research practices and implementation of reporting guidelines, but whether these efforts have improved the methodological quality of RCTs (e.g., lower risk of bias) is unknown. We, therefore, mapped risk-of-bias trends over time in RCT publications in relation to journal and author characteristics. Meta-information of 176,620 RCTs published between 1966 and 2018 was extracted. The risk-of-bias probability (random sequence generation, allocation concealment, blinding of patients/personnel, and blinding of outcome assessment) was assessed using a risk-of-bias machine learning tool. This tool was simultaneously validated using 63,327 human risk-of-bias assessments obtained from 17,394 RCTs evaluated in the Cochrane Database of Systematic Reviews (CDSR). Moreover, RCT registration and CONSORT Statement reporting were assessed using automated searches. Publication characteristics included the number of authors, journal impact factor (JIF), and medical discipline. The annual number of published RCTs substantially increased over 4 decades, accompanied by increases in authors (5.2 to 7.8) and institutions (2.9 to 4.8). The risk of bias remained present in most RCTs but decreased over time for allocation concealment (63% to 51%), random sequence generation (57% to 36%), and blinding of outcome assessment (58% to 52%). Trial registration (37% to 47%) and the use of the CONSORT Statement (1% to 20%) also rapidly increased. In journals with a higher impact factor (>10), the risk of bias was consistently lower with higher levels of RCT registration and the use of the CONSORT Statement. Automated risk-of-bias predictions had accuracies above 70% for allocation concealment (70.7%), random sequence generation (72.1%), and blinding of patients/personnel (79.8%), but not for blinding of outcome assessment (62.7%). In conclusion, the likelihood of bias in RCTs has generally decreased over the last decades. This optimistic trend may be driven by increased knowledge augmented by mandatory trial registration and more stringent reporting guidelines and journal requirements. Nevertheless, relatively high probabilities of bias remain, particularly in journals with lower impact factors. This emphasizes that further improvement of RCT registration, conduct, and reporting is still urgently needed.

Identifiants

pubmed: 33872298
doi: 10.1371/journal.pbio.3001162
pii: PBIOLOGY-D-20-02480
pmc: PMC8084332
doi:

Types de publication

Historical Article Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e3001162

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

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Auteurs

Christiaan H Vinkers (CH)

Department of Psychiatry and Department of Anatomy and Neurosciences, Amsterdam UMC, Amsterdam, the Netherlands.

Herm J Lamberink (HJ)

Department of Child Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, and Utrecht University, Utrecht, the Netherlands.

Joeri K Tijdink (JK)

Department of Ethics, Law and Humanities, Amsterdam UMC, and Department of Philosophy, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.

Pauline Heus (P)

Cochrane Netherlands, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.

Lex Bouter (L)

Department of Epidemiology and Data Science, Amsterdam UMC, and Department of Philosophy, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.

Paul Glasziou (P)

Institute for Evidence-Based Healthcare, Bond University, Gold Coast, Australia.

David Moher (D)

Centre for Journalology, Clinical Epidemiology Program, The Ottawa Hospital Research Institute, Ottawa, Canada.

Johanna A Damen (JA)

Cochrane Netherlands, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.

Lotty Hooft (L)

Cochrane Netherlands, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.

Willem M Otte (WM)

Department of Child Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, and Utrecht University, Utrecht, the Netherlands.

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