Literature DB >> 33402333

State of the evidence: a survey of global disparities in clinical trials.

Iain James Marshall1, Veline L'Esperance2, Rachel Marshall3, James Thomas4, Anna Noel-Storr5, Frank Soboczenski2, Benjamin Nye6, Ani Nenkova7, Byron C Wallace6.   

Abstract

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. © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY. Published by BMJ.

Entities:  

Keywords:  geographic information systems; randomised control trial

Mesh:

Year:  2021        PMID: 33402333      PMCID: PMC7786802          DOI: 10.1136/bmjgh-2020-004145

Source DB:  PubMed          Journal:  BMJ Glob Health        ISSN: 2059-7908


  36 in total

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Review 2.  Using data sources beyond PubMed has a modest impact on the results of systematic reviews of therapeutic interventions.

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Journal:  J Clin Epidemiol       Date:  2015-02-07       Impact factor: 6.437

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4.  A mapping of 115,000 randomized trials revealed a mismatch between research effort and health needs in non-high-income regions.

Authors:  Ignacio Atal; Ludovic Trinquart; Philippe Ravaud; Raphaël Porcher
Journal:  J Clin Epidemiol       Date:  2018-01-31       Impact factor: 6.437

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Review 6.  Strategies to improve recruitment to randomised trials.

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Journal:  Cochrane Database Syst Rev       Date:  2018-02-22

7.  Machine learning for identifying Randomized Controlled Trials: An evaluation and practitioner's guide.

Authors:  Iain J Marshall; Anna Noel-Storr; Joël Kuiper; James Thomas; Byron C Wallace
Journal:  Res Synth Methods       Date:  2018-02-07       Impact factor: 5.273

8.  Trialstreamer: A living, automatically updated database of clinical trial reports.

Authors:  Iain J Marshall; Benjamin Nye; Joël Kuiper; Anna Noel-Storr; Rachel Marshall; Rory Maclean; Frank Soboczenski; Ani Nenkova; James Thomas; Byron C Wallace
Journal:  J Am Med Inform Assoc       Date:  2020-12-09       Impact factor: 4.497

9.  Attention to local health burden and the global disparity of health research.

Authors:  James A Evans; Jae-Mahn Shim; John P A Ioannidis
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10.  Estimates of the global, regional, and national morbidity, mortality, and aetiologies of lower respiratory infections in 195 countries, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016.

Authors: 
Journal:  Lancet Infect Dis       Date:  2018-09-19       Impact factor: 71.421

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2.  Global guidelines for emergency general surgery: systematic review and Delphi prioritization process.

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Review 3.  Data flow within global clinical trials: a scoping review.

Authors:  Kaitlyn Kwok; Neha Sati; Louis Dron; Srinivas Murthy
Journal:  BMJ Glob Health       Date:  2022-04
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