ArticleBMC medicine2015
Benefit-harm analysis and charts for individualized and preference-sensitive prevention: example of low dose aspirin for primary prevention of cardiovascular disease and cancer.
Article in BMC medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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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
18 citing papers in PubMed.
- Individualized Net Benefit of Intensive Blood Pressure Lowering Among Community-Dwelling Older Adults in SPRINT.Journal of the American Geriatrics Society · 2025Trial
- Incorporating Individual-Level Treatment Effects and Outcome Preferences Into Personalized Blood Pressure Target Recommendations.Journal of the American Heart Association · 2024Trial
- Patient Preferences for Hypertension Treatment Outcomes: A Quantitative Field Study Using the Analytic Hierarchy Process.The patient · 2026Article
- GLP-1 receptor agonists for weight reduction in people living with obesity but without diabetes: a living benefit-harm modelling study.EClinicalMedicine · 2024Article
- A proposal for using benefit-risk methods to improve the prominence of adverse event results when reporting trials.Trials · 2024Article
- Public health impact of low-dose aspirin on colorectal cancer, cardiovascular disease and safety in the UK - Results from micro-simulation model.International journal of cardiology. Heart & vasculature · 2021Article
- Innovative Strategies to Facilitate Patient-Centered Research in Multiple Chronic Conditions.Journal of clinical medicine · 2021Review
- How do cancer screening guidelines trade off benefits versus harms and burdens of screening? A systematic survey.BMJ open · 2020Article
- Global variation of risk thresholds for initiating statins for primary prevention of cardiovascular disease: a benefit-harm balance modelling study.BMC cardiovascular disorders · 2020Article
- Clinician Perspectives on Overscreening for Cancer in Older Adults With Limited Life Expectancy.Journal of the American Geriatrics Society · 2020Article
- Outcome preferences of older people with multiple chronic conditions and hypertension: a cross-sectional survey using best-worst scaling.Health and quality of life outcomes · 2019Article
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- Should statin guidelines consider patient preferences? Eliciting preferences of benefit and harm outcomes of statins for primary prevention of cardiovascular disease in the sub-Saharan African and European contexts.BMC cardiovascular disorders · 2018Article
- Large-scale external validation and comparison of prognostic models: an application to chronic obstructive pulmonary disease.BMC medicine · 2018Article
- Temporal and geographical external validation study and extension of the Mayo Clinic prediction model to predict eGFR in the younger population of Swiss ADPKD patients.BMC nephrology · 2017Article
- Individualised benefit-harm balance of aspirin as primary prevention measure - a good proof-of-concept, but could have been better….BMC medicine · 2016Article
- Barriers to preventive therapy for breast and other major cancers and strategies to improve uptake.Ecancermedicalscience · 2015Review
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Authors and funding
6 authors.
Funding
Abstract
backgroundClinical practice guidelines provide separate recommendations for different diseases that may be prevented or treated by the same intervention. Also, they commonly provide recommendations for entire populations but not for individuals. To address these two limitations, our aim was to conduct benefit-harm analyses for a wide range of individuals using the example of low dose aspirin for primary prevention of cardiovascular disease and cancer and to develop Benefit-Harm Charts that show the overall benefit-harm balance for individuals.
methodsWe used quantitative benefit-harm modeling that included 16 outcomes to estimate the probability that low dose aspirin provides more benefits than harms for a wide range of men and women between 45 and 84 years of age and without a previous myocardial infarction, severe ischemic stroke, or cancer. We repeated the quantitative benefit-harm modeling for different combinations of age, sex, and outcome risks for severe ischemic and hemorrhagic stroke, myocardial infarction, cancers, and severe gastrointestinal bleeds. The analyses considered weights for the outcomes, statistical uncertainty of the effects of aspirin, and death as a competing risk. We constructed Benefit-Harm Charts that show the benefit-harm balance for different combinations of outcome risks.
resultsThe Benefit-Harm Charts ( http://www.benefit-harm-balance.com ) we have created show that the benefit-harm balance differs largely across a primary prevention population. Low dose aspirin is likely to provide more benefits than harms in men, elderly people, and in those at low risk for severe gastrointestinal bleeds. Individual preferences have a major impact on the benefit-harm balance. If, for example, it is a high priority for individuals to prevent stroke and severe cancers while severe gastrointestinal bleeds are deemed to be of little importance, the benefit-harm balance is likely to favor low dose aspirin for most individuals. Instead, if severe gastrointestinal bleeds are judged to be similarly important compared to the benefit outcomes, low dose aspirin is unlikely to provide more benefits than harms.
conclusionsBenefit-Harm Charts support individualized benefit-harm assessments and decision making. Similarly, individualized benefit-harm assessments may allow guideline developers to issue more finely granulated recommendations that reduce the risk of over- and underuse of interventions. The example of low dose aspirin for primary prevention of cardiovascular disease and cancer shows that it may be time for guideline developers to provide combined recommendations for different diseases that may be prevented or treated by the same intervention.
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Registered trials
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.