Evidence map›Paper›PMID 24190955›Full record

ArticleCirculation2013

Using benefit-based tailored treatment to improve the use of antihypertensive medications.

Jeremy Sussman, Sandeep Vijan, Rod Hayward

Abstract read
In one paragraph

Article in Circulation, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing 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

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

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  17. Matching Microsimulation Risk Factor Correlations to Cross-sectional Data: The Shortest Distance Method.Medical decision making : an international journal of the Society for Medical Decision Making · 2018
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Jeremy SussmanDivision of General Internal Medicine, University of Michigan (J.S., S.V., R.H.), and the Center for Clinical Management Research, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, MI (J.S., S.V., R.H.).
Sandeep Vijan
Rod Hayward

Funding

PUBLIC HEALTH DEMONSTRATIONP60DK020572 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MYERS, MARTIN G · 1985 to 2012
$26.5M
Research BaseP30DK092926 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MARY ELLEN MICHELE HEISLER, ADESUWA B OLOMU · 2011 to 2026
$10.0M
NIDDK NIH HHS P30 DK092926NIDDK NIH HHS P60 DK020572NIDDK NIH HHS P60 DK-20572
6 · The paper itself

Abstract

backgroundCurrent guidelines for prescribing antihypertensive medications focus on reaching specific blood pressure targets. We sought to determine whether antihypertensive medications could be used more effectively by a treatment strategy based on tailored estimates of cardiovascular disease events prevented. METHODS AND

resultsWe developed a nationally representative sample of American adults aged 30 to 85 years with no history of myocardial infarction, stroke, or severe congestive heart failure using the National Health and Nutrition Examination Survey III. We then created a simulation model to estimate the effects of 5 years of treatment with treat-to-target (treatment to specific blood pressure goals) and benefit-based tailored treatment (treatment based on estimated cardiovascular disease event reduction) approaches to antihypertensive medication management. All effect size estimates were derived directly from meta-analyses of randomized trials. We found that 55% of the overall population of 176 million Americans would be treated identically under the 2 treatment approaches. Benefit-based tailored treatment would prevent 900 000 more cardiovascular disease events and save 2.8 million more quality-adjusted life-years, despite using 6% fewer medications over 5 years. In the 45% of the population treated differently by the strategies, benefit-based tailored treatment would save 159 quality-adjusted life-years per 1000 treated versus 74 quality-adjusted life-years per 1000 treated by the treat-to-target approach. The findings were robust to sensitivity analyses.

conclusionsWe found that benefit-based tailored treatment was both more effective and required less antihypertensive medication than current guidelines based on treating to specific blood pressure goals.

Indexed as

AdultAgedAged, 80 and overAntihypertensive AgentsCardiovascular DiseasesFemaleHeart FailureHumansHypertensionMaleMiddle AgedModels, StatisticalMyocardial InfarctionNutrition SurveysRisk FactorsStrokeAntihypertensive Agentsepidemiologyhypertensionprimary preventiontreatment outcome

Identifiers

PMID24190955
PMCPMC4026201

What OpenQuestion holds

Textmetadata
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Read underepoch 390

Registered trials

None linked

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.