Evidence map›Paper›PMID 42387214›Full record

ArticleNature medicine2026

A meta-analysis of the long-term effects of antihypertensive therapy on the risk of major cardiovascular disease across 51 randomized trials.

Qianqian Yang, Zeinab Bidel, Dexter Canoy, Guyu Zeng, William C Cushman, Anthony Rodgers, Koon Teo, Barry R Davis, John Chalmers, Carl J Pepine and 4 more

Abstract readNetwork Meta-Analysis
In one paragraph

Article in Nature medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Qianqian YangDeep Medicine, Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, UK.
Zeinab BidelDeep Medicine, Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, UK.
Dexter CanoyPopulation Health Sciences Institute, Newcastle University, Newcastle, UK.
Guyu ZengDeep Medicine, Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, UK.
William C CushmanUniversity of Tennessee Health Science Center, Memphis, TN, USA.
Anthony RodgersThe George Institute for Global Health, University of New South Wales, Sydney, New South Wales, Australia.
Koon TeoPopulation Health Research Institute, Hamilton Health Sciences, McMaster University, Hamilton, Ontario, Canada.
Barry R DavisThe University of Texas School of Public Health, Houston, TX, USA.
John ChalmersThe George Institute for Global Health, University of New South Wales, Sydney, New South Wales, Australia.ORCID http://orcid.org/0000-0002-9931-0580
Carl J PepineCollege of Medicine, University of Florida, Gainesville, FL, USA.ORCID http://orcid.org/0000-0002-6011-681X
Johan SundströmThe George Institute for Global Health, University of New South Wales, Sydney, New South Wales, Australia.ORCID http://orcid.org/0000-0003-2247-8454
Mark WoodwardDeep Medicine, Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0001-9800-5296
Milad NazarzadehDeep Medicine, Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0002-0576-8874
Kazem RahimiDeep Medicine, Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, UK. kazem.rahimi@wrh.ox.ac.uk.ORCID http://orcid.org/0000-0002-4807-4610

Funding

British Heart Foundation (BHF) FS/19/36/34346British Heart Foundation (BHF) FS/IPBSRF/22/27060British Heart Foundation (BHF) FS/PhD/25/29632
6 · The paper itself

Abstract

Blood pressure (BP)-lowering therapy reduces cardiovascular risk, but whether its proportional benefits increase with longer treatment duration remains unclear. We conducted an individual participant-level data meta-analysis of 51 randomized trials from the Blood Pressure Lowering Treatment Trialists' Collaboration (358,642 participants; median follow-up: 4.2 years). Using Cox proportional hazards models, we estimated time-stratified hazard ratios (HRs) for major cardiovascular events (MACE; fatal or non-fatal stroke, ischemic heart disease or heart failure) across annual follow-up intervals up to more than 5 years, standardized to a 5-mmHg systolic BP reduction. Network meta-analysis examined whether temporal patterns differed across antihypertensive drug classes. Annual MACE incidence was highest during year 1 (3.0% treatment versus 3.6% control), declined during years 1-5 and then rose at more than 5 years (3.1% versus 3.4%). BP lowering reduced MACE risk, with benefits established early and not progressively increasing over time. A 5-mmHg systolic BP reduction was associated with a 12% lower MACE risk in year 1 (HR = 0.88, 95% confidence interval (CI): 0.84-0.91), with modest attenuation thereafter: HRs were 0.88 (0.85-0.92) in years 1-2, 0.94 (0.90-0.98) in years 2-3, 0.87 (0.83-0.92) in years 3-4, 0.97 (0.91-1.03) in years 4-5 and 0.94 (0.87-1.01) at more than 5 years (P for trend = 0.006). Similar patterns occurred across five drug classes. These findings indicate that the relative cardiovascular benefits of BP lowering emerge within months and do not increase over time, suggesting that prioritizing higher-risk individuals for treatment yields greater clinical utility than prolonged treatment in low-risk individuals.

Indexed as

Antihypertensive AgentsCardiovascular DiseasesHypertensionBlood PressureFemaleHeart FailureHumansMaleMiddle AgedProportional Hazards ModelsRandomized Controlled Trials as TopicRisk FactorsStrokeAntihypertensive Agents

Identifiers

PMID42387214
PMCPMC13472958

What OpenQuestion holds

Textmetadata
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.