Evidence map›Paper›PMID 25566958›Full record

Trial reportDrugs & aging2015

Impact of multiple low-level anticholinergic medications on anticholinergic load of community-dwelling elderly with and without dementia.

Karen E Mate, Karen P Kerr, Dimity Pond, Evan J Williams, John Marley, Peter Disler, Henry Brodaty, Parker J Magin

Abstract readRandomized Controlled Trial
PubMed Publisher
In one paragraph

Trial report in Drugs & aging, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 3 pooled it
3.2field-weighted citation impact, top 8% of its field
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

26 citing papers in PubMed, 3 syntheses or guidelines pooled it, 71 citations in OpenAlex.

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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

8 authors at 4 institutions in 1 country.

Karen E MateSchool of Biomedical Sciences and Pharmacy, University of Newcastle, Callaghan, NSW, 2308, Australia, Karen.Mate@newcastle.edu.au.
Karen P Kerr
Dimity Pond
Evan J Williams
John Marley
Peter Disler
Henry Brodaty
Parker J Magin
University of Newcastle Australia · AUMonash University · AUUniversity of Queensland · AUUNSW Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundElderly people, particularly those with dementia, are sensitive to adverse anticholinergic drug effects. This study examines the prevalence of anticholinergic medication, and anticholinergic load and its predictors, in community-dwelling elderly patients (aged 75 years and older) in Australia.

methodsA research nurse visited the home of each participant (n = 1,044), compiled a list of current medications, and assessed participants' cognitive status using a subsection of the revised Cambridge Examination for Mental Disorders of the Elderly (CAMCOG-R). Anticholinergic load was determined for each patient using the Anticholinergic Drug Scale (ADS).

resultsMultivariate analysis identified several patient factors that were associated with higher anticholinergic burden, including polypharmacy (i.e. taking five or more medications) (p < 0.001), increasing age (p = 0.018), CAMCOG-R dementia (p = 0.003), depression (p = 0.003), and lower physical quality of life (p < 0.001). The dementia group (n = 86) took a significantly higher number of medications (4.6 vs. 3.9; p = 0.04), and had a significantly higher anticholinergic load (1.5 vs. 0.8; p = 0.002) than those without dementia (n = 958). Approximately 60% of the dementia group and 40% of the non-dementia group were receiving at least one anticholinergic drug. This difference was due to the higher proportion of dementia patients taking level 1 (potentially anticholinergic) (p = 0.002) and level 3 (markedly anticholinergic) (p = 0.005) drugs.

conclusionsThere is considerable scope for the improvement of prescribing practices in the elderly, and particularly those with dementia. Importantly, level 1 anticholinergics have been identified as major contributors to the anticholinergic load in people with dementia. Longitudinal studies are required to determine the effects of increased and decreased anticholinergic load on cognitive function and other clinical outcomes for people with dementia.

Indexed as

Quality of LifeAgedAged, 80 and overAustraliaCholinergic AntagonistsCognitionDementiaDepressionFemaleHumansMalePolypharmacyPrevalenceCholinergic Antagonists

Identifiers

PMID25566958
OpenAlexW2060150162

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.