Evidence map›Paper›PMID 41761231›Full record

ArticleBMC medicine2026

Anticholinergic drug burden and incident cardiovascular events: a population-based study.

Nanbo Zhu, Maria Eriksdotter, Bahira Shahim, Kristina Johnell, Sara Garcia-Ptacek, Juan-Jesus Carrero, Hong Xu

Abstract read
In one paragraph

Article in BMC medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

7 authors.

Nanbo ZhuDivision of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden. nanbo.zhu@ki.se.
Maria EriksdotterDivision of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden.
Bahira ShahimDivision of Cardiology, Department of Medicine, Karolinska Institutet, Stockholm, Sweden.
Kristina JohnellDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Sara Garcia-PtacekDivision of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden.
Juan-Jesus CarreroDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Hong XuDivision of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden. hong.xu.2@ki.se.

Funding

Åke Wiberg Stiftelse M22-0170; M24-0221Center for Innovative Medicine FoUI-963369; FoUI-1002840Foundation for the National Institutes of Health NIH R01DK115534Hjärt-Lungfonden 20220524Hjärt-Lungfonden 20230371Magnus Bergvalls Stiftelse 2024-1370Petrus och Augusta Hedlunds Stiftelse M-2024-2526Stockholms Läns Landsting FoUI-988371Svenska Läkaresällskapet 987010Svenska Sällskapet för Medicinsk Forskning SG-23-0142-BUlla Hamberg Angeby and Lennart Angeby Foundation 2022-02882Vetenskapsrådet 2022-01425Vetenskapsrådet 2022-01428Vetenskapsrådet 2022-01472Vetenskapsrådet 2023-01807Vetenskapsrådet 2024-03599
6 · The paper itself

Abstract

backgroundDrugs with anticholinergic properties are commonly used in older adults for various medical conditions, but the long-term cardiovascular consequences of cumulative exposure have not been well established. This study aims to examine whether cumulative anticholinergic drug burden is associated with incident cardiovascular events.

methodsThe large population-based cohort study included 508,273 Stockholm residents aged ≥ 45 years on January 1, 2008, who had no history of major cardiovascular diseases, with follow-up until December 31, 2021. Anticholinergic burden was assessed using the Anticholinergic Cognitive Burden scale and quantified as annual consumption in defined daily doses (DDDs). Inverse probability-weighted Cox proportional hazards models were used to estimate the weighted hazard ratio (HR) and 95% confidence interval (CI) for the associations between both baseline and time-varying exposure and incident cardiovascular events, overall and by disease subtypes.

resultsA total of 118,266 incident cardiovascular events were recorded during a median follow-up of 14.0 years. Higher levels of anticholinergic drug exposure were significantly associated with an increased risk of cardiovascular events after adjusting for sociodemographic, lifestyle, and clinical risk factors in both baseline and time-updated models, with stronger associations observed in the latter. In the time-updated model, the HR (95% CI) increased with annual cumulative exposure: 1.16 (1.13, 1.20) for 1-89 DDDs, 1.31 (1.28, 1.34) for 90-364 DDDs, and 1.71 (1.67, 1.76) for ≥ 365 DDDs. A significant dose-response relationship was observed across event subtypes. In the highest exposure group, the HR (95% CI) was 2.70 (2.57, 2.84) for heart failure, 2.17 (2.08, 2.27) for arrhythmias, 1.48 (1.34, 1.63) for artery disease, 1.32 (1.21, 1.43) for venous thromboembolism, 1.46 (1.37, 1.55) for myocardial infarction, and 1.32 (1.25, 1.39) for cerebrovascular disease. Results were consistent in subgroups and sensitivity analyses.

conclusionsThese findings highlight the potential cardiovascular harms of anticholinergic drug burden in middle-aged and older adults and underscore the need for careful prescribing and monitoring of such medications.

Indexed as

Cardiovascular DiseasesCholinergic AntagonistsAgedCohort StudiesFemaleHumansIncidenceMaleMiddle AgedProportional Hazards ModelsRisk FactorsSwedenCholinergic AntagonistsAnticholinergic drug burdenCardiovascular diseaseCohort study

Identifiers

PMID41761231
PMCPMC13059147

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.