Evidence map›Paper›PMID 25630558›Full record

ArticleBMJ (Clinical research ed.)2015

Association between randomised trial evidence and global burden of disease: cross sectional study (Epidemiological Study of Randomized Trials--ESORT).

Connor A Emdin, Ayodele Odutayo, Allan J Hsiao, Mubeen Shakir, Sally Hopewell, Kazem Rahimi, Douglas G Altman

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  20. Research prioritization of men's health and urologic diseases.International braz j urol : official journal of the Brazilian Society of Urology
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Connor A EmdinGeorge Institute for Global Health, University of Oxford, Oxford OX1 3DB, UK cemdin@georgeinstitute.org.uk.
Ayodele OdutayoCentre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UKJ Faculty of Medicine, University of Toronto, Toronto, ON, Canada.
Allan J HsiaoUniversity of Oxford, Oxford, UK.
Mubeen ShakirUniversity of Oxford, Oxford, UK.
Sally HopewellCentre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UKJ Centre d'Epidémiologie Clinique, Université Paris Descartes, INSERM U1153, France.
Kazem RahimiGeorge Institute for Global Health, University of Oxford, Oxford OX1 3DB, UK.
Douglas G AltmanCentre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UKJ.

Funding

Cancer Research UK 16895Department of Health CDF-2013-06-012
6 · The paper itself

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.

Indexed as

Cost of IllnessRandomized Controlled Trials as TopicCross-Sectional StudiesGlobal HealthHumansIncomePersons with DisabilitiesSample Size

Identifiers

PMID25630558
PMCPMC4309646

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.