Evidence map›Paper›PMID 37408840›Full record

ArticleExploratory research in clinical and social pharmacy2023

Sex-specific medication trajectories in older adults newly diagnosed with diabetes.

Miceline Mésidor, Denis Talbot, Marc Simard, Claudia Blais, Véronique Boiteau, Caroline Sirois

Open access · goldAbstract read
In one paragraph

Article in Exploratory research in clinical and social pharmacy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 87% of its field
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Miceline MésidorDépartement de médecine sociale et préventive, Université Laval, Pavillon Ferdinand-Vandry 1050, Avenue de la Médecine, Québec G1V 0A6, Canada.
Denis TalbotDépartement de médecine sociale et préventive, Université Laval, Pavillon Ferdinand-Vandry 1050, Avenue de la Médecine, Québec G1V 0A6, Canada.
Marc SimardDépartement de médecine sociale et préventive, Université Laval, Pavillon Ferdinand-Vandry 1050, Avenue de la Médecine, Québec G1V 0A6, Canada.
Claudia BlaisFaculté de Pharmacie, Université Laval, Pavillon Ferdinand-Vandry, 1050 Av. de la Médecine, Québec G1V 0A6, Canada.
Véronique BoiteauInstitut National de Santé Publique du Québec, 945, av Wolfe, Québec G1V 5B3, Canada.
Caroline SiroisCentre de Recherche du CHU de Québec - Université Laval, 2400 Av. D'Estimauville, Québec G1E 6W2, Canada.
Université Laval · CAInstitut National de Santé Publique du Québec · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: People with diabetes tend to use many medications to treat diabetes and comorbidities. Nevertheless, the evolution of polypharmacy in newly diagnosed males and females has been little studied. Objective: The objective of this paper was to identify and describe medication trajectories in incident diabetes cases according to sex. Methods: Data were obtained from the Quebec Integrated Chronic Disease Surveillance System. We built a population-based cohort of community-dwelling individuals aged >65 years diagnosed with diabetes in 2014 who were alive and covered with the public drug plan until March 31, 2019. Latent class models were used to identify medication trajectory groups in males and females separately. Results: Of the 10,363 included individuals, 51.4% were males. Females were older and more likely to have more medication claims than males. Four trajectory groups were identified for males and five for females. Most trajectories showed sustained and stable number of medications over time. For each sex, only one of the trajectory groups included a mean annual number of medications lesser than five. Slight increasing trends of medication use were detected in the trajectories composed of very high users, which included older, more comorbid individuals frequently exposed to potentially inappropriate medications. Conclusions: Most males and females with incident diabetes had a high burden of medication following the year of diagnosis and were classified in a group of sustained medication use over time. The largest increase in medication was among those who had higher level of polypharmacy of questionable quality at baseline, raising concerns about the innocuity of such medication trajectories.

Indexed as

DiabetesLatent class modelsMedication useOlder adultsQuebecSex differences

Identifiers

PMID37408840
PMCPMC10319302
OpenAlexW4380986994

What OpenQuestion holds

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LicenceCC BY
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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.