Evidence map›Paper›PMID 38740716›Full record

ArticleDrugs & aging2024

Associations Between Midlife Anticholinergic Medication Use and Subsequent Cognitive Decline: A British Birth Cohort Study.

Mark J Rawle, Wallis C Y Lau, Arturo Gonzalez-Izquierdo, Praveetha Patalay, Marcus Richards, Daniel Davis

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Article in Drugs & aging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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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

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Mark J RawleMRC Unit for Lifelong Health and Ageing at UCL, London, UK. m.rawle@ucl.ac.uk.ORCID 0000-0002-2831-6993
Wallis C Y LauResearch Department of Practice and Policy, School of Pharmacy, UCL, London, UK.
Arturo Gonzalez-IzquierdoInstitute of Health Informatics and Health Data Research UK, UCL, London, UK.
Praveetha PatalayMRC Unit for Lifelong Health and Ageing at UCL, London, UK.
Marcus RichardsMRC Unit for Lifelong Health and Ageing at UCL, London, UK.
Daniel DavisMRC Unit for Lifelong Health and Ageing at UCL, London, UK.

Funding

Medical Research Council MC_UU_10019/1Medical Research Council MC_UU_10019/3
6 · The paper itself

Abstract

backgroundAnticholinergic medication use is associated with cognitive decline and incident dementia. Our study, a prospective birth cohort analysis, aimed to determine if repeated exposure to anticholinergic medications was associated with greater decline, and whether decline was reversed with medication reduction.

methodsFrom the Medical Research Council (MRC) National Survey of Health and Development, a British birth cohort with all participants born in a single week of March 1946, we quantified anticholinergic exposure between ages 53 and 69 years using the Anticholinergic Cognitive Burden Scale (ACBS). We used multinomial regression to estimate associations with global cognition, quantified by the Addenbrooke's Cognitive Examination, 3

resultsAnticholinergic exposure was associated cross-sectionally with lower ACE-III scores at age 69, with the greatest effects in those with high exposure at ages 60-64 (mean difference - 2.34, 95% confidence interval [CI] - 3.51 to - 1.17). Longitudinally, both mild-moderate and high ACBS scores were linked to lower WLT scores, again with high exposure showing larger effects (mean difference with contemporaneous exposure - 0.90, 95% CI - 1.63 to - 0.17; mean difference with lagged exposure - 1.53, 95% CI - 2.43 to - 0.64). Associations remained in fixed effects models (mean difference with contemporaneous exposure -1.78, 95% CI -2.85 to - 0.71; mean difference with lagged exposure - 2.23, 95% CI - 3.33 to - 1.13). Associations with TLST were noted only in isolated contemporaneous exposure (mean difference - 13.14, 95% CI - 19.04 to - 7.23; p < 0.01).

conclusionsAnticholinergic exposure throughout mid and later life was associated with lower cognitive function. Reduced processing speed was associated only with contemporaneous anticholinergic medication use, and not historical use. Associations with lower verbal recall were evident with both historical and contemporaneous use of anticholinergic medication, and associations with historical use persisted in individuals even when their anticholinergic medication use decreased over the course of the study.

Indexed as

Cholinergic AntagonistsCognitive DysfunctionAgedBirth CohortCognitionCohort StudiesCross-Sectional StudiesFemaleHumansLongitudinal StudiesMaleMiddle AgedProspective StudiesUnited KingdomCholinergic Antagonists

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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.