ArticleBMJ (Clinical research ed.)2015
Association between randomised trial evidence and global burden of disease: cross sectional study (Epidemiological Study of Randomized Trials--ESORT).
Article in BMJ (Clinical research ed.), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
20 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
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- A comparison between health research output and burden of disease in Arab countries: evidence from Palestine.Health research policy and systems · 2018Article
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- Global, regional, and national disability-adjusted life-years (DALYs) for 333 diseases and injuries and healthy life expectancy (HALE) for 195 countries and territories, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016.Lancet (London, England) · 2017Article
- Protocol for a scoping review to map evidence from randomised controlled trials on paediatric eye disease to disease burden.Systematic reviews · 2017Article
- Association between trial registration and positive study findings: cross sectional study (Epidemiological Study of Randomized Trials-ESORT).BMJ (Clinical research ed.) · 2017Article
- Global, regional, and national disability-adjusted life-years (DALYs) for 315 diseases and injuries and healthy life expectancy (HALE), 1990-2015: a systematic analysis for the Global Burden of Disease Study 2015.Lancet (London, England) · 2016Article
- Automatic classification of registered clinical trials towards the Global Burden of Diseases taxonomy of diseases and injuries.BMC bioinformatics · 2016Article
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- Better prioritization to increase research value and decrease waste.BMC medicine · 2015Article
- Randomised trials in context: practical problems and social aspects of evidence-based medicine and policy.Trials · 2015Review
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- Identifying gaps in research prioritization: The global burden of neglected tropical diseases as reflected in the Cochrane database of systematic reviews.Journal of family medicine and primary careArticle
- Research prioritization of men's health and urologic diseases.International braz j urol : official journal of the Brazilian Society of UrologyArticle
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
objectivesTo determine whether an association exists between the number of published randomised controlled trials and the global burden of disease, whether certain diseases are under-investigated relative to their burden, and whether the relation between the output of randomised trials and global burden of disease can be explained by the relative disease burden in high and low income regions.
designCross sectional investigation. STUDY SAMPLE: All primary reports of randomised trials published in December 2012 and indexed in PubMed by 17 November 2013.
main outcome measuresNumber of trials conducted and number of participants randomised for each of 239 different diseases or injuries; variation in each outcome explainable by total disability adjusted life years (a measure of the overall burden of each disease) and the ratio of disability adjusted life years in low income to high income regions (a measure of whether a disease is more likely to affect people living in high income regions) quantified using multivariable regression.
results4190 abstracts were reviewed and 1351 primary randomised trials identified, of which 1097 could be classified using the global burden of disease taxonomy. Total disability adjusted life years was poorly associated with number of randomised trials and number of participants randomised in univariable analysis (Spearman's r=0.35 and 0.33, respectively), although it was a significant predictor in the univariable and multivariable models (P<0.001). Diseases for which the burden was predominantly located in low income regions had sevenfold fewer trials per million disability adjusted life years than diseases predominantly located in high income regions. However, only 26% of the variation in number of trials among diseases could be explained by total disability adjusted life years and the ratio of disability adjusted life years in low income regions to high income regions. Many high income type diseases (for example, neck pain, glomerulonephritis) have proportionally fewer randomised trials compared with low income type diseases (for example, vitamin A deficiency).
conclusionsOverall, a weak association existed between global burden of disease and number of published randomised trials. A global observatory for research is needed to monitor and reduce the discordance between the output of randomised trials and global burden of disease.
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