Evidence map›Paper›PMID 29558462›Full record

SynthesisPLoS medicine2018

Blood pressure-lowering treatment strategies based on cardiovascular risk versus blood pressure: A meta-analysis of individual participant data.

Kunal N Karmali, Donald M Lloyd-Jones, Joep van der Leeuw, David C Goff, Salim Yusuf, Alberto Zanchetti, Paul Glasziou, Rodney Jackson, Mark Woodward, Anthony Rodgers and 9 more

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in PLoS medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed, 9 pooled it
8.4field-weighted citation impact, top 2% of its field
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

60 citing papers in PubMed, 9 syntheses or guidelines pooled it, 118 citations in OpenAlex.

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  3. Higher blood pressure targets for hypertension in older adults.The Cochrane database of systematic reviews · 2024
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors at 12 institutions in 9 countries.

Kunal N KarmaliDepartment of Medicine, Northwestern University, Chicago, Illinois, United States of America.
Donald M Lloyd-JonesDepartment of Medicine, Northwestern University, Chicago, Illinois, United States of America.
Joep van der LeeuwUniversity Medical Center Utrecht, Department of Vascular Medicine, Utrecht, Netherlands.ORCID 0000-0002-6779-7072
David C GoffNational Heart, Lung, and Blood Institute, Division of Cardiovascular Sciences, Bethesda, Maryland, United States of America.ORCID 0000-0001-7988-8361
Salim YusufPopulation Health Research Institute, McMaster University, Hamilton, Canada.ORCID 0000-0003-4776-5601
Alberto ZanchettiThe Istituto Auxologico Italiano, Milan, Italy.
Paul GlasziouCentre for Research in Evidence Based Practice, Bond University, Robina, Australia.ORCID 0000-0001-7564-073X
Rodney JacksonSchool of Population Health, Faculty of Medical and Health Science, University of Auckland, Auckland, New Zealand.
Mark WoodwardThe George Institute for Global Health, University of Oxford, Oxford, United Kingdom.
Anthony RodgersThe George Institute for Global Health, Sydney, Australia.ORCID 0000-0003-1282-1896
Bruce C NealThe George Institute for Global Health, Sydney, Australia.
Eivind BergeDepartment of Cardiology, Oslo University Hospital, Oslo, Norway.
Koon TeoPopulation Health Research Institute, McMaster University, Hamilton, Canada.
Barry R DavisSchool of Public Health, University of Texas, Dallas, Texas, United States of America.
John ChalmersThe George Institute for Global Health, Sydney, Australia.ORCID 0000-0002-9931-0580
Carl PepineDivision of Cardiovascular Medicine, University of Florida, Gainesville, Florida, United States of America.
Kazem RahimiThe George Institute for Global Health, University of Oxford, Oxford, United Kingdom.ORCID 0000-0002-4807-4610
Johan SundströmDepartment of Medical Sciences, Uppsala University, and Uppsala Clinical Research Center, Uppsala, Sweden.ORCID 0000-0003-2247-8454
Blood Pressure Lowering Treatment Trialists’ Collaboration
The George Institute for Global Health · AUNorthwestern University · USPopulation Health Research Institute · CAThe George Institute for Global Health · GBBond University · AUIRCCS Istituto Auxologico Italiano · ITNational Heart Lung and Blood Institute · USOslo University Hospital · NOUniversity Medical Center Utrecht · NLUniversity of Auckland · NZUniversity of Florida · USUppsala University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundClinical practice guidelines have traditionally recommended blood pressure treatment based primarily on blood pressure thresholds. In contrast, using predicted cardiovascular risk has been advocated as a more effective strategy to guide treatment decisions for cardiovascular disease (CVD) prevention. We aimed to compare outcomes from a blood pressure-lowering treatment strategy based on predicted cardiovascular risk with one based on systolic blood pressure (SBP) level. METHODS AND

findingsWe used individual participant data from the Blood Pressure Lowering Treatment Trialists' Collaboration (BPLTTC) from 1995 to 2013. Trials randomly assigned participants to either blood pressure-lowering drugs versus placebo or more intensive versus less intensive blood pressure-lowering regimens. We estimated 5-y risk of CVD events using a multivariable Weibull model previously developed in this dataset. We compared the two strategies at specific SBP thresholds and across the spectrum of risk and blood pressure levels studied in BPLTTC trials. The primary outcome was number of CVD events avoided per persons treated. We included data from 11 trials (47,872 participants). During a median of 4.0 y of follow-up, 3,566 participants (7.5%) experienced a major cardiovascular event. Areas under the curve comparing the two treatment strategies throughout the range of possible thresholds for CVD risk and SBP demonstrated that, on average, a greater number of CVD events would be avoided for a given number of persons treated with the CVD risk strategy compared with the SBP strategy (area under the curve 0.71 [95% confidence interval (CI) 0.70-0.72] for the CVD risk strategy versus 0.54 [95% CI 0.53-0.55] for the SBP strategy). Compared with treating everyone with SBP ≥ 150 mmHg, a CVD risk strategy would require treatment of 29% (95% CI 26%-31%) fewer persons to prevent the same number of events or would prevent 16% (95% CI 14%-18%) more events for the same number of persons treated. Compared with treating everyone with SBP ≥ 140 mmHg, a CVD risk strategy would require treatment of 3.8% (95% CI 12.5% fewer to 7.2% more) fewer persons to prevent the same number of events or would prevent 3.1% (95% CI 1.5%-5.0%) more events for the same number of persons treated, although the former estimate was not statistically significant. In subgroup analyses, the CVD risk strategy did not appear to be more beneficial than the SBP strategy in patients with diabetes mellitus or established CVD.

conclusionsA blood pressure-lowering treatment strategy based on predicted cardiovascular risk is more effective than one based on blood pressure levels alone across a range of thresholds. These results support using cardiovascular risk assessment to guide blood pressure treatment decision-making in moderate- to high-risk individuals, particularly for primary prevention.

Indexed as

Blood PressureAgedAntihypertensive AgentsBlood Pressure DeterminationCardiovascular DiseasesFemaleHumansHypertensionKaplan-Meier EstimateMaleMiddle AgedPractice Guidelines as TopicPrimary PreventionRandomized Controlled Trials as TopicRisk AssessmentRisk FactorsAntihypertensive Agents

Identifiers

PMID29558462
PMCPMC5860698
OpenAlexW2791302441

What OpenQuestion holds

Textmetadata
LicenceCC0
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.