Evidence map›Paper›PMID 42180816›Full record

ArticleAmerican journal of cardiovascular disease2026

Mid-life antihypertensive initiation and incident dementia: a machine learning-weighted target trial emulation in the health and retirement study.

Sajjad Hajihosseini, Reza Khademi, Anita Fatehi, Behnoosh Taghvaei, Yousef Dowlatabadi, Serve Mamkhezri, Taher Fanihagh, Mohaddeseh Belbasi, Maryam Gholizadeh, Atiye Rashidi and 2 more

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Article in American journal of cardiovascular disease, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Sajjad HajihosseiniStudent Research Committee, Faculty of Pharmacy, Tehran University of Medical Sciences Tehran, Iran.
Reza KhademiFaculty of Medicine, Mashhad University of Medical Sciences Mashhad, Iran.
Anita FatehiSchool of Medicine, Tehran University of Medical Sciences Tehran, Iran.
Behnoosh TaghvaeiArak University of Medical Sciences Arak, Iran.
Yousef DowlatabadiFaculty of Medicine, Mashhad University of Medical Sciences Mashhad, Iran.
Serve MamkhezriFaculty of Medicine, Kurdistan University of Medical Sciences Sanandaj, Iran.
Taher FanihaghSchool of Medicine, Tehran University of Medical Sciences Tehran, Iran.
Mohaddeseh BelbasiStudents Research Committee, School of Pharmacy, Zanjan University of Medical Sciences Zanjan, Iran.
Maryam GholizadehKTO Karatay University Konya, Turkey.
Atiye RashidiDepartment of Clinical Pharmacy, Mashhad University of Medical Sciences Mashhad, Iran.
Danyal YarahmadiFaculty of Medicine, Iran University of Medical Sciences Tehran, Iran.
Saeid NajafiDepartment of Neurology, School of Medicine, Urmia University of Medical Sciences Urmia, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMid-life hypertension is a treatable vascular risk for dementia, yet trial evidence on whether starting antihypertensives in middle age lowers late-life dementia remains mixed. This study aimed to emulate a randomized trial to estimate whether initiating antihypertensive therapy at mid-life reduces subsequent dementia risk.

methodsWe emulated a randomized target trial of antihypertensive initiation using Health and Retirement Study data (2002-2020; 18-year follow-up). Eligible adults aged 45-65 with incident hypertension and dementia-free at baseline (n = 2,491) were classified in 2002 as antihypertensive treatment initiators or non-initiators. Inverse probability weights combined (I) a Firth-penalized logistic model for treatment initiation and (II) biennial censoring models; weighted Cox regression estimated hazard ratios (HRs) for incident dementia. To probe model dependence, we re-estimated treatment weights with a Super Learner ensemble and repeated all analyses.

resultsGroups differed on several baseline covariates, but weighting brought every standardized mean difference to <0.10. During follow-up, cumulative dementia incidence reached 15% in non-initiators and 13% in initiators. The intention-to-treat risk ratio (RR) was 0.89 (95% confidence interval [CI], 0.57-1.62); biennial RRs were likewise close to the null. Re-estimating treatment weights with a Super Learner ensemble yielded comparable covariate balance and a year-18 RR of 1.05 (0.74-1.70), essentially reproducing the primary result. Analyses accounting for competing risks of death or dropout did not materially change the estimates.

conclusionsIn this nationally representative cohort, starting antihypertensive therapy in mid-life did not meaningfully change dementia risk across 18 years. Agreement between conventional and machine-learning propensity approaches makes a large protective or harmful effect unlikely and underscores the need to explore additional strategies for dementia prevention beyond routine blood pressure pharmacotherapy.

Indexed as

antihypertensive treatmentcausal inferenceDementiahypertensionmachine learningsuper learnertarget trial emulation

Identifiers

PMID42180816
PMCPMC13195260

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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.