TY - JOUR
T1 - State of the evidence: a survey of global disparities in clinical trials
AU - Marshall, Iain
AU - L’Esperance, Veline
AU - Marshall, Rachel
AU - Thomas, James
AU - Noel-Storr, Anna
AU - Soboczenski, Frank
AU - Nye, Benjamin
AU - Nenkova, Ani
AU - Byron, Wallace
N1 - Funding Information:
Funding This work is funded by the UK Medical Research Council (MRC), through its Skills Development Fellowship programme (IJM), MR/N015185/1, and the US National Institutes of Health (NIH) under the National Library of Medicine, 2R01-LM012086-05 (IJM, FS and BCW). VL is funded by a National Institute for Health Research (NIHR), (Doctoral Research Fellow-DRF-2017-10-13). JT received grants from Cochrane during the conduct of the study.
Publisher Copyright:
© 2021 BMJ Publishing Group. All rights reserved.
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2021/1/5
Y1 - 2021/1/5
N2 - 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 R 2 =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.
AB - 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 R 2 =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.
UR - http://www.scopus.com/inward/record.url?scp=85099078784&partnerID=8YFLogxK
U2 - 10.1136/bmjgh-2020-004145
DO - 10.1136/bmjgh-2020-004145
M3 - Review article
SN - 2059-7908
VL - 6
JO - BMJ Global Health
JF - BMJ Global Health
IS - 1
M1 - e004145
ER -