Evidence map›Paper›PMID 40264387›Full record

ArticleDiabetes, obesity & metabolism2025

Long-term adherence to glucose-lowering medications in adults with diabetes: A data linkage study.

Crystal M Y Lee, Alice A Gibson, Natasha Nassar, Stephen Colagiuri

Abstract read
In one paragraph

Article in Diabetes, obesity & metabolism, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
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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.

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2 · The registry

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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

2 citing papers in PubMed.

  1. Article
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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

4 authors.

Crystal M Y LeeSchool of Population Health, Curtin University, Perth, Western Australia, Australia.ORCID 0000-0001-6613-5491
Alice A GibsonMenzies Centre for Health Policy and Economics, School of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia.
Natasha NassarMenzies Centre for Health Policy and Economics, School of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia.
Stephen ColagiuriBoden Initiative, Charles Perkins Centre and Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia.

Funding

Diabetes Australia Research Trust Y20G-LEECNational Health and Medical Research Council APP1173784National Health and Medical Research Council APP1197940
6 · The paper itself

Abstract

aimsTo determine the adherence rate in users of each class of glucose-lowering medication and identify the key socio-demographic factors influencing adherence.

methodsThe 45 and Up Study is an ongoing cohort study of residents aged ≥45 years in New South Wales, Australia. We analysed Pharmaceutical Benefits Scheme records from 2013 to 2019 of the 21 341 study participants who self-reported having diabetes. Medication adherence was estimated as the proportion of days covered for each 12-month period for up to the fifth 12-month period.

resultsA consistent pattern was observed across all drug classes, where the percentage of adherent (proportion of days covered ≥0.8) users was highest in the first 12 months, followed by a drop in the second 12 months. For prevalent users on the same drug class for the full 5-year period, higher percentages of adherent users compared to the first 12 months were observed for glucagon-like peptide 1 receptor agonists (77.7% vs 74.2%). For incident users on the same drug class for the full 5-year period, a higher percentage of adherent users compared to the first 12 months was observed for sodium-glucose cotransporter 2 inhibitors (84.2% vs 78.4%). Moreover, no socio-demographic subgroup was consistently more or less adherent to medications.

conclusionsInitial adherence was good and remained relatively high over time in this cohort. Nevertheless, adherence was still a challenge in some individuals. Practitioners should recognize the possibility of non-adherence and consider this at each consultation.

Indexed as

Diabetes MellitusDiabetes Mellitus, Type 2Hypoglycemic AgentsAgedCohort StudiesFemaleHumansMaleMiddle AgedNew South WalesSodium-Glucose Transporter 2 InhibitorsHypoglycemic AgentsSodium-Glucose Transporter 2 Inhibitorsdiabetesdispensing recordsmedication adherence

Identifiers

PMID40264387
PMCPMC12146459

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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.