Evidence map›Paper›PMID 26423305›Full record

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.

Milo A Puhan, Tsung Yu, Inge Stegeman, Ravi Varadhan, Sonal Singh, Cynthia M Boyd

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–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

18 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Milo A PuhanDepartment of Epidemiology; Epidemiology, Biostatistics & Prevention Institute, University of Zurich, Hirschengraben 84, Room HRS G29, CH-8001, Zurich, Switzerland. miloalan.puhan@uzh.ch.
Tsung YuDepartment of Epidemiology; Epidemiology, Biostatistics & Prevention Institute, University of Zurich, Hirschengraben 84, Room HRS G29, CH-8001, Zurich, Switzerland. tsung.yu@uzh.ch.
Inge StegemanDepartment of Otorhinolaryngology - Head and Neck Surgery, University Medical Center Utrecht, Utrecht, The Netherlands. I.Stegeman@umcutrecht.nl.
Ravi VaradhanDepartment of Biostatistics, Johns Hopkins University Bloomberg School of Public Health, Baltimore, USA. ravi.varadhan@jhu.edu.
Sonal SinghDivision of General Internal Medicine, Johns Hopkins School of Medicine, Baltimore, USA. ssingh31@jhu.edu.
Cynthia M BoydCenter on Aging and Health, Division of Geriatric Medicine and Gerontology, Johns Hopkins School of Medicine, Baltimore, USA. cyboyd@jhmi.edu.

Funding

Treatment Burden in Older Adults with Diabetes and MultimorbidityK23AG032910 · NIA · JOHNS HOPKINS UNIVERSITY · PI BOYD, CYNTHIA MELINDA · 2009 to 2013
$533k
NIA NIH HHS K23 AG032910
6 · The paper itself

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.

Indexed as

AdultAgedAged, 80 and overAspirinCardiovascular DiseasesFemaleHumansMaleMiddle AgedNeoplasmsPrimary PreventionRisk AssessmentAspirin

Identifiers

PMID26423305
PMCPMC4589917

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Registered trials

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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.