Evidence map›Paper›PMID 37149556›Full record

ArticleDrugs & aging2023

Classifying Polypharmacy According to Pharmacotherapeutic and Clinical Risks in Older Adults: A Latent Class Analysis in Quebec, Canada.

M Gosselin, D Talbot, M Simard, Y M Chiu, M Mésidor, V Boiteau, P-H Carmichael, C Sirois

Abstract read
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Article in Drugs & aging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–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

9 citing papers in PubMed.

  1. Polypharmacy Thresholds that Best Predict Emergency Room Visits and Mortality in Older Adults: A Population-Based Study in Québec, Canada.Journal of applied gerontology : the official journal of the Southern Gerontological Society · 2026
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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.

M GosselinDepartment of Social and Preventive Medicine, Faculty of medicine, Université Laval, Québec, Canada.ORCID http://orcid.org/0000-0002-6760-9764
D TalbotDepartment of Social and Preventive Medicine, Faculty of medicine, Université Laval, Québec, Canada.ORCID http://orcid.org/0000-0003-0431-3314
M SimardDepartment of Social and Preventive Medicine, Faculty of medicine, Université Laval, Québec, Canada.ORCID http://orcid.org/0000-0002-9424-1926
Y M ChiuVITAM, Centre de recherche en santé durable, Québec, Canada.ORCID http://orcid.org/0000-0001-7872-9457
M MésidorDepartment of Social and Preventive Medicine, Faculty of medicine, Université Laval, Québec, Canada.ORCID http://orcid.org/0000-0001-5788-4984
V BoiteauInstitut national de santé publique du Québec, Québec, Canada.
P-H CarmichaelCentre d'excellence sur le vieillissement de Québec, Québec, Canada.ORCID http://orcid.org/0000-0002-5324-862X
C SiroisCentre d'excellence sur le vieillissement de Québec, Québec, Canada. Caroline.Sirois@pha.ulaval.ca.ORCID http://orcid.org/0000-0003-3294-7883

Funding

CIHR
6 · The paper itself

Abstract

introductionThe simplistic definition of polypharmacy, often designated as the concomitant use of five medications or more, does not distinguish appropriate from inappropriate polypharmacy. Classifying polypharmacy according to varying levels of health risk would help optimise medication use.

objectiveWe aimed to characterise different types of polypharmacy among older adults and evaluate their association with mortality and institutionalisation.

methodsUsing healthcare databases from the Quebec Integrated Chronic Disease Surveillance System, we selected a community-based random sample of the population ≥ 66 years old covered by the public drug plan. Categorical indicators used to describe polypharmacy included number of medications, potentially inappropriate medications (PIMs), drug-drug interactions, enhanced surveillance medications, complex route of administration medications, anticholinergic cognitive burden (ACB) score and use of blister cards. We used a latent class analysis to subdivide participants into distinct groups of polypharmacy. Their association with 3-year mortality and institutionalisation was assessed with adjusted Cox models.

resultsIn total, 93,516 individuals were included. A four-class model was selected with groups described as (1) no polypharmacy (46% of our sample), (2) high-medium number of medications, low risk (33%), (3) medium number of medications, PIM use with or without high ACB score (8%) and (4) hyperpolypharmacy, complex use, high risk (13%). Using the class without polypharmacy as the reference, all polypharmacy classes were associated with 3-year mortality and institutionalisation, with the most complex/inappropriate classes denoting the highest risk (hazard ratio [HR] [95% confidence interval]: class 3, 70-year-old point estimate for mortality 1.52 [1.30-1.78] and institutionalisation 1.86 [1.52-2.29]; class 4, 70-year-old point estimate for mortality 2.74 [2.44-3.08] and institutionalisation 3.11 [2.60-3.70]).

conclusionsWe distinguished three types of polypharmacy with varying pharmacotherapeutic and clinical appropriateness. Our results highlight the value of looking beyond the number of medications to assess polypharmacy.

Indexed as

Inappropriate PrescribingPotentially Inappropriate Medication ListAgedCholinergic AntagonistsDrug InteractionsHumansLatent Class AnalysisQuebecCholinergic 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.