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Exploring trial publication and research waste in COVID-19 randomised trials of hydroxychloroquine, corticosteroids, and vitamin D: a meta-epidemiological cohort study.
Fincham, Lisa; Hohlfeld, Ameer; Clarke, Mike; Kredo, Tamara; McCaul, Michael.
Afiliação
  • Fincham L; Division of Epidemiology and Biostatistics, Department of Global Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Francie van Zijl Drive, Tygerberg, Cape Town, 7505, South Africa. lisa.fincham@gmail.com.
  • Hohlfeld A; Health Systems Research Unit, South African Medical Research Council, Cape Town, South Africa.
  • Clarke M; Division of Epidemiology and Biostatistics, Department of Global Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Francie van Zijl Drive, Tygerberg, Cape Town, 7505, South Africa.
  • Kredo T; Northern Ireland Methodology Hub, Centre for Public Health, Queen's University Belfast, Belfast, Northern Ireland.
  • McCaul M; Health Systems Research Unit, South African Medical Research Council, Cape Town, South Africa.
BMC Med Res Methodol ; 24(1): 19, 2024 Jan 23.
Article em En | MEDLINE | ID: mdl-38262938
ABSTRACT

BACKGROUND:

The global research response to the COVID-19 pandemic was impressive, but also led to an infodemic and considerable research waste. Registered, but unpublished trials added to this noise. We aimed to determine the proportion of registered randomised trials of common COVID-19 treatments that were published and to describe the characteristics of these trials to examine the association between trial characteristics, publication status and research waste.

METHODS:

This meta-epidemiological cohort study used a sample of randomised trials of corticosteroids, hydroxychloroquine or vitamin D as treatments for COVID-19, registered between 1 November 2019 and 31 December 2021 and available via the WHO ICTRP portal. We searched for the trials' published results up to 20 October 2022. We extracted the trial characteristics, analysing with descriptive statistics. We performed univariate logistic regression to examine the association between trials' characteristics and publication status, followed by multiple logistic regression using significant characteristics to assess the association between trial characteristics and publication status.

RESULTS:

We identified 357 eligible trials on ICTRP. Of these, 107 (30%) had published or made their results available publicly by 20 October 2022, while 250 (70%) had not been published or shared their results publicly. Multiple logistic regression analysis showed that a larger target sample size was a significant positive predictor of publication with target sample sizes above 300 almost tripling the odds of publication (aOR 2.75, 95% CI 1.35 to 5.62).

CONCLUSIONS:

Less than one third of registered trials made their results public and our findings identified that many trialists had not updated their trial registry entry with the trial status, results or both. Failure to share trial results publicly is a disservice to patients, clinicians and policy makers and adds to research waste.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Vitamina D / COVID-19 Tipo de estudo: Clinical_trials / Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Systematic_reviews Limite: Humans Idioma: En Revista: BMC Med Res Methodol Assunto da revista: MEDICINA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: África do Sul

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Vitamina D / COVID-19 Tipo de estudo: Clinical_trials / Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Systematic_reviews Limite: Humans Idioma: En Revista: BMC Med Res Methodol Assunto da revista: MEDICINA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: África do Sul
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