Evidence map›Paper›PMID 28656508›Full record

ArticleDrugs & aging2017

Risk of Mortality Associated with Anticholinergic Use in Elderly Nursing Home Residents with Depression.

Satabdi Chatterjee, Vishal Bali, Ryan M Carnahan, Hua Chen, Michael L Johnson, Rajender R Aparasu

Abstract read
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In one paragraph

Article in Drugs & aging, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 3 pooled it
2.1field-weighted citation impact, top 15% 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

15 citing papers in PubMed, 3 syntheses or guidelines pooled it, 24 citations in OpenAlex.

  1. Pooled it
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  8. Risk Indicators Improve the Prescription Quality of Drugs with Anticholinergic Properties in Nursing Homes.International journal of environmental research and public health · 2021
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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

6 authors at 3 institutions in 1 country.

Satabdi ChatterjeeDepartment of Pharmaceutical Health Outcomes and Policy, College of Pharmacy, Texas Medical Center, University of Houston, 1441 Moursund Street, Houston, TX, 77030, USA.
Vishal BaliDepartment of Pharmaceutical Health Outcomes and Policy, College of Pharmacy, Texas Medical Center, University of Houston, 1441 Moursund Street, Houston, TX, 77030, USA.
Ryan M CarnahanDepartment of Epidemiology, College of Public Health, University of Iowa, Iowa City, IA, USA.
Hua ChenDepartment of Pharmaceutical Health Outcomes and Policy, College of Pharmacy, Texas Medical Center, University of Houston, 1441 Moursund Street, Houston, TX, 77030, USA.
Michael L JohnsonDepartment of Pharmaceutical Health Outcomes and Policy, College of Pharmacy, Texas Medical Center, University of Houston, 1441 Moursund Street, Houston, TX, 77030, USA.
Rajender R AparasuDepartment of Pharmaceutical Health Outcomes and Policy, College of Pharmacy, Texas Medical Center, University of Houston, 1441 Moursund Street, Houston, TX, 77030, USA. rraparasu@uh.edu.
University of Houston · USTexas Medical Center · USUniversity of Iowa · US

Funding

Agency for Healthcare Research and Quality R01 HS21264AHRQ HHS R01 HS021264
6 · The paper itself

Abstract

backgroundFew studies have evaluated the association between anticholinergic use and mortality in elderly nursing home residents.

objectiveThe aim of this study was to examine the risk of mortality associated with anticholinergic use among elderly nursing home residents with depression.

methodsThe study employed a population-based nested case-control design using 2007-2010 Minimum Data Set (MDS)-linked Medicare data from all states. The base cohort included Medicare beneficiaries aged ≥65 years, diagnosed with depression as of 2007, and with any MDS assessment in 2007. Cases were identified as patients who died anytime between January 1, 2008 and December 31, 2010. For each case, four age- and sex-matched controls were selected using incidence density sampling. Anticholinergic exposure was defined using the Anticholinergic Drug Scale (ADS). Prescription of clinically significant anticholinergic medications (ADS level 2/3) 60 days preceding the event date formed the primary exposure. Conditional logistic regression model stratified on matched case-control sets was performed to assess mortality risk, after controlling for other risk factors.

resultsThe study sample included 44,948 cases who died and 179,792 matched controls. After adjusting for other risk factors, clinically significant anticholinergic use was associated with significant risk of death (odds ratio [OR] 1.31; 95% CI 1.28-1.34) compared with non-use. Level-specific analysis indicated high mortality risk with only markedly anticholinergic (ADS level 3) medication use (OR 1.46; 95% CI 1.42-1.51).

conclusionsUse of clinically significant anticholinergic medications was associated with a 31% increase in risk of mortality among elderly nursing home residents with depression. With increasing safety concerns, there is a significant need to optimize anticholinergic use in the vulnerable population.

Indexed as

AgedAged, 80 and overCase-Control StudiesCholinergic AntagonistsCohort StudiesDepressionDrug-Related Side Effects and Adverse ReactionsFemaleHumansIncidenceLogistic ModelsMaleNursing HomesRisk FactorsUnited StatesCholinergic Antagonists

Identifiers

PMID28656508
OpenAlexW2724305434

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.