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State of the evidence: a survey of global disparities in clinical trials.
Marshall, Iain James; L'Esperance, Veline; Marshall, Rachel; Thomas, James; Noel-Storr, Anna; Soboczenski, Frank; Nye, Benjamin; Nenkova, Ani; Wallace, Byron C.
Afiliação
  • Marshall IJ; School of Population Health and Environmental Sciences, King's College London, London, UK iain.marshall@kcl.ac.uk.
  • L'Esperance V; School of Population Health and Environmental Sciences, King's College London, London, UK.
  • Marshall R; Editorial and Methods Department, Cochrane, London, UK.
  • Thomas J; EPPI-Centre, Department of Social Science, UCL, London, UK.
  • Noel-Storr A; Cochrane Dementia Group, University of Oxford, Oxford, UK.
  • Soboczenski F; School of Population Health and Environmental Sciences, King's College London, London, UK.
  • Nye B; Khoury College of Computer Sciences, Northeastern University, Boston, Massachusetts, USA.
  • Nenkova A; Computer and Information Science, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
  • Wallace BC; Khoury College of Computer Sciences, Northeastern University, Boston, Massachusetts, USA.
BMJ Glob Health ; 6(1)2021 01.
Article em En | MEDLINE | ID: mdl-33402333
INTRODUCTION: Ideally, health conditions causing the greatest global disease burden should attract increased research attention. We conducted a comprehensive global study investigating the number of randomised controlled trials (RCTs) published on different health conditions, and how this compares with the global disease burden that they impose. METHODS: We use machine learning to monitor PubMed daily, and find and analyse RCT reports. We assessed RCTs investigating the leading causes of morbidity and mortality from the Global Burden of Disease study. Using regression models, we compared numbers of actual RCTs in different health conditions to numbers predicted from their global disease burden (disability-adjusted life years (DALYs)). We investigated whether RCT numbers differed for conditions disproportionately affecting countries with lower socioeconomic development. RESULTS: We estimate 463 000 articles describing RCTs (95% prediction interval 439 000 to 485 000) were published from 1990 to July 2020. RCTs recruited a median of 72 participants (IQR 32-195). 82% of RCTs were conducted by researchers in the top fifth of countries by socio-economic development. As DALYs increased for a particular health condition by 10%, the number of RCTs in the same year increased by 5% (3.2%-6.9%), but the association was weak (adjusted R2=0.13). Conditions disproportionately affecting countries with lower socioeconomic development, including respiratory infections and tuberculosis (7000 RCTs below predicted) and enteric infections (9700 RCTs below predicted), appear relatively under-researched for their disease burden. Each 10% shift in DALYs towards countries with low and middle socioeconomic development was associated with a 4% reduction in RCTs (3.7%-4.9%). These disparities have not changed substantially over time. CONCLUSION: Research priorities are not well optimised to reduce the global burden of disease. Most RCTs are produced by highly developed countries, and the health needs of these countries have been, on average, favoured.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Infecções Respiratórias / Pessoas com Deficiência Tipo de estudo: Clinical_trials / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Infecções Respiratórias / Pessoas com Deficiência Tipo de estudo: Clinical_trials / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article