Evidence map›Paper›PMID 26480974›Full record

ArticleJournal of the American Geriatrics Society2015

Concordance Between Anticholinergic Burden Scales.

Jennifer G Naples, Zachary A Marcum, Subashan Perera, Shelly L Gray, Anne B Newman, Eleanor M Simonsick, Kristine Yaffe, Ronald I Shorr, Joseph T Hanlon, Health, Aging and Body Composition Study

Abstract readComparative Study
In one paragraph

Article in Journal of the American Geriatrics Society, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 4 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

49 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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  20. Association between anticholinergic burden and dementia in UK Biobank.Alzheimer's & dementia (New York, N. Y.) · 2022
    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

10 authors.

Jennifer G NaplesDivision of Geriatrics, Department of Medicine, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania.
Zachary A MarcumSchool of Pharmacy, University of Washington, Seattle, Washington.
Subashan PereraDivision of Geriatrics, Department of Medicine, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania.
Shelly L GraySchool of Pharmacy, University of Washington, Seattle, Washington.
Anne B NewmanDivision of Geriatrics, Department of Medicine, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania.
Eleanor M SimonsickIntramural Research Program, National Institute on Aging, Baltimore, Maryland.
Kristine YaffeDepartment of Psychiatry, University of California at San Francisco, San Francisco, California.
Ronald I ShorrGeriatric Research, Education and Clinical Center, Malcolm Randall Veterans Affairs Medical Center, Gainesville, Florida.
Joseph T HanlonDivision of Geriatrics, Department of Medicine, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania.
Health, Aging and Body Composition Study

Funding

VARIABILITY, STABILITY & SMOOTHNESS OF WALKINGP30AG024827 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Caterina Rosano · 2004 to 2026
$28.6M
Pitt Integrated Clinical and Geroscience Research Training ProgramT32AG021885 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Aditi U Gurkar · 2003 to 2026
$6.7M
Resilience to Mobility Impairment: Neural Correlates and Protective FactorsR01AG037451 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI AIZENSTEIN, HOWARD J, ROSANO, CATERINA · 2011 to 2015
$2.9M
End of Life in the Very OldR01NR012459 · NINR · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI ALBERT, STEVEN M, LUNNEY, JUNE R · 2011 to 2015
$2.7M
DYNAMICS OF HEALTH .AGING . AND BODY COMPOSITION /Pittsburgh/-260962101N01AG062101 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · 1996 to 2004
$996k
DYNAMICS OF HEALTH . AGING . AND BODY COMPOSITION /Memphis/-26062103N01AG062103 · NIA · UNIVERSITY OF TENNESSEE HEALTH SCI CTR · 1996 to 2004
$793k
UPITT Program for Pharmaceutical Outcomes Research in AgingK07AG033174 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI HANLON, JOSEPH T · 2009 to 2013
$461k
HEALTH ABC--COORDINATING UNIT /California/-260062106N01AG062106 · NIA · UNIVERSITY OF CALIFORNIA SAN FRANCISCO · 1996 to 2004
$109k
Intramural NIH HHSNIA NIH HHS K07 AG033174NIA NIH HHS K07-AG033174NIA NIH HHS N01-AG-6-2101NIA NIH HHS N01-AG-6-2103NIA NIH HHS N01-AG-6-2106NIA NIH HHS P30 AG024827NIA NIH HHS P30-AG024827NIA NIH HHS R01 AG037451NIA NIH HHS R01-AG037451NIA NIH HHS T32 AG021885NIA NIH HHS T32-AG021885NINR NIH HHS NR012459NINR NIH HHS R01 NR012459
6 · The paper itself

Abstract

objectivesTo evaluate concordance of five commonly used anticholinergic scales.

designCross-sectional secondary analysis.

settingPittsburgh, Pennsylvania, and Memphis, Tennessee.

participantsCommunity-dwelling adults aged 70 to 79 with baseline medication data from the Health, Aging, and Body Composition Study (N = 3,055). MEASUREMENTS: Any anticholinergic use, weighted scores, and total standardized daily dosage were calculated using five anticholinergic measures (Anticholinergic Cognitive Burden (ACB) Scale, Anticholinergic Drug Scale (ADS), Anticholinergic Risk Scale (ARS), Drug Burden Index anticholinergic component (DBI-ACh), and Summated Anticholinergic Medications Scale (SAMS)). Concordance was evaluated using kappa statistics and Spearman rank correlations.

resultsAny anticholinergic use in rank order was 51% for the ACB, 43% for the ADS, 29% for the DBI-ACh, 23% for the ARS, and 16% for the SAMS. Kappa statistics for all pairwise use comparisons ranged from 0.33 to 0.68. Similarly, concordance as measured using weighted kappa statistics ranged from 0.54 to 0.70 for the three scales not incorporating dosage (ADS, ARS, ACB). Spearman rank correlation between the DBI-ACh and SAMS was 0.50.

conclusionOnly low to moderate concordance was found between the five anticholinergic scales. Future research is needed to examine how these differences in measurement affect their predictive validity with respect to clinically relevant outcomes, such as cognitive impairment.

Indexed as

Risk AssessmentAgedCholinergic AntagonistsCross-Sectional StudiesFemaleHealth SurveysHumansMaleCholinergic Antagonistsagedcholinergic antagonistsdrug use

Identifiers

PMID26480974
PMCPMC4617193

What OpenQuestion holds

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Registered trials

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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.