Cited by 142Meta-analysis and systematic reviewsStatistical Methods in EpidemiologyCardiovascular Health and Risk Factors

The Burden of Proof studies: assessing the evidence of risk

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Zheng, Peng, Afshin, Ashkan, Biryukov, Stan, Bisignano, Catherine, Brauer, Michael, Bryazka, Dana, Burkart, Katrin, Cercy, Kelly M. +35 more·2022·Nature Medicine

Abstract

Exposure to risks throughout life results in a wide variety of outcomes. Objectively judging the relative impact of these risks on personal and population health is fundamental to individual survival and societal prosperity. Existing mechanisms to quantify and rank the magnitude of these myriad effects and the uncertainty in their estimation are largely subjective, leaving room for interpretation that can fuel academic controversy and add to confusion when communicating risk. We present a new suite of meta-analyses—termed the Burden of Proof studies—designed specifically to help evaluate these methodological issues objectively and quantitatively. Through this data-driven approach that complements existing systems, including GRADE and Cochrane Reviews, we aim to aggregate evidence across multiple studies and enable a quantitative comparison of risk–outcome pairs. We introduce the burden of proof risk function (BPRF), which estimates the level of risk closest to the null hypothesis that is consistent with available data. Here we illustrate the BPRF methodology for the evaluation of four exemplar risk–outcome pairs: smoking and lung cancer, systolic blood pressure and ischemic heart disease, vegetable consumption and ischemic heart disease, and unprocessed red meat consumption and ischemic heart disease. The strength of evidence for each relationship is assessed by computing and summarizing the BPRF, and then translating the summary to a simple star rating. The Burden of Proof methodology provides a consistent way to understand, evaluate and summarize evidence of risk across different risk–outcome pairs, and informs risk analysis conducted as part of the Global Burden of Diseases, Injuries, and Risk Factors Study.

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Authors
Zheng, P., Afshin, A., Biryukov, S., Bisignano, C., Brauer, M., Bryazka, D., Burkart, K., Cercy, K. M., Cornaby, L., Dai, X., Dirac, M. A., Estep, K., Fay, K. A., Feldman, R., Ferrari, A. J., Gakidou, E., Gil, G. F., Griswold, M., Hay, S. I., He, J., Irvine, C. M. S., Kassebaum, N. J., LeGrand, K. E., Lescinsky, H., Lim, S. S., Lo, J., Mullany, E. C., Ong, K. L., Rao, P. C., Razo, C., Reitsma, M. B., Roth, G. A., Santomauro, D. F., Sorensen, R. J. D., Srinivasan, V., Stanaway, J. D., Vollset, S. E., Vos, T., Wang, N., Welgan, C. A., Wozniak, S. S., Aravkin, A. Y., & Murray, C. J. L.
Affiliations
  • University of Washington (US)
  • University of British Columbia (CA)
  • The University of Queensland (AU)
  • UNSW Sydney (AU)
Corresponding author
Murray, Christopher J. L.
Venue
Nature Medicine
Published
2022-10
Volume
28
Issue
10
Pages
2038-2044
ISSN
  • 1078-8956 (ISSN-L)
  • 1546-170X
OpenAlex
W4304084045
Cited by
142
References
4
Citations by year
2026: 32 · 2025: 42 · 2024: 29 · 2023: 25 · 2022: 14
FWCI
16.60
Type
journal article
Language
en
Open access
Locations
  • Nature Medicine (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
Funders
  • Bill and Melinda Gates Foundation (OPP1152504)
  • Bloomberg Family Foundation
  • University of Melbourne
  • Department of Health, Queensland
  • Department of Health | National Health and Medical Research Council
  • Public Health England
  • St. Jude Children’s Research Hospital
  • U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (R01MH110163)
  • the Norwegian Institute of Public Health; the Cardiovascular Medical Research and Education Fund; the National Institute on Ageing of the NIH
  • The funders for this study are listed in full under Christopher JL Murray
Topics
  • Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Health and Risk Factors
Keywords
risk assessment, evidence synthesis, quality of evidence, risk communication, smoking and lung cancer, vegetable consumption, red meat consumption, ischemic heart disease, global burden of disease, GRADE, meta-analysis
MeSH terms
Humans, Risk Factors, Smoking, Myocardial Ischemia, Risk Assessment

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