Evidence map›Paper›PMID 30590397›Full record

ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2020

Anticholinergic Drug Induced Cognitive and Physical Impairment: Results from the InCHIANTI Study.

Lana Sargent, Mike Nalls, Elaine J Amella, Martina Mueller, Sarah K Lageman, Stefania Bandinelli, Marco Colpo, Patricia W Slattum, Andrew Singleton, Luigi Ferrucci

Abstract read
In one paragraph

Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
–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

20 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  7. Medication use quality and safety in older adults: 2022 update.Journal of the American Geriatrics Society · 2024
    Review
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  12. Multimorbidity Clusters in the Oldest Old: Results from the EpiChron Cohort.International journal of environmental research and public health · 2022
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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

10 authors.

Lana SargentLaboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland.
Mike NallsLaboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland.
Elaine J AmellaMedical University of South Carolina School of Nursing, Charleston, South Carolina.
Martina MuellerMedical University of South Carolina School of Nursing, Charleston, South Carolina.
Sarah K LagemanLaboratory of Clinical Epidemiology, InCHIANTI Study Group, Local Health Unit Tuscany Center, Florence, Italy.
Stefania BandinelliData Tecnica International, Glen Echo, Maryland.
Marco ColpoData Tecnica International, Glen Echo, Maryland.
Patricia W SlattumDepartment of Pharmacotherapy & Outcome Science, Virginia Commonwealth School of Pharmacy, Richmond, Virginia.
Andrew SingletonLaboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland.
Luigi FerrucciLongitudinal Studies Section, Translational Gerontology Branch, National Institute on Aging, Baltimore, Maryland.

Funding

Assessment of Candidate Loci in Neurological diseasesZIAAG000957 · NIA · NATIONAL INSTITUTE ON AGING · PI SINGLETON, ANDREW · 2009 to 2024
$12.2M
The InChianti StudyZIAAG001050 · NIA · NATIONAL INSTITUTE ON AGING · PI FERRUCCI, LUIGI · 2009 to 2025
$2.1M
6 · The paper itself

Abstract

backgroundThe aims of this study were to evaluate the relationship between anticholinergic drug burden (ACB) cognitive impairment, physical frailty, and cognitive frailty, and to determine if ACB is predictive of these phenotypes when modeled with biological and genomic biomarkers.

methodsIn a retrospective cohort study, a total of 1,453 adults aged 20-102 years were used to examine ACB as a predictor for cognitive impairment, physical frailty, and cognitive frailty. Anticholinergic burden is examined as a predictor for all phenotypes in a cross-sectional analysis using logistic, ordinal regression models, and Extreme Gradient Boosting for population predictive modeling.

resultsA significant association was found between ACB and cognitive decline (p = .02), frailty (p < .001), and cognitive frailty (p < .001). The odds of cognitive impairment increased by 1.21 (95% confidence interval [CI] = 1.06-1.37, p < .001), odds of being frail increased by 1.33 (95% CI = 1.18-1.50, p < .001), and odds of having cognitive frailty increased by 1.36 (95% CI = 1.21-1.54, p < .001). Population modeling results indicated ACB score as one of the stronger predictors for cognitive impairment, physical frailty, and cognitive frailty with area under the curves ranging from 0.81 to 0.88.

conclusionsAnticholinergic medications are a potentially modifiable risk factor for the prevention of cognitive and physical decline. Identification of reversible causes for cognitive and physical impairment is critical for the aging population. These findings encourage new research that may lead to effective interventions for deprescribing programs for the prevention of cognitive and physical decline in older adults.

Indexed as

AdultAgedAged, 80 and overCholinergic AntagonistsCognitive DysfunctionCross-Sectional StudiesFemaleFrailtyHumansMaleMiddle AgedRetrospective StudiesYoung AdultCholinergic AntagonistsCognitionFrailtyMedication

Identifiers

PMID30590397
PMCPMC7357452

What OpenQuestion holds

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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.