Evidence map›Paper›PMID 40702916›Full record

ArticleBritish journal of clinical pharmacology2025

Medication persistence trajectories among individuals prescribed lipid-lowering therapy in primary care settings: A retrospective cohort study.

Zhomart Orman, Jia Wei Koh, Caroline Trin, Zanfina Ademi, Ella Zomer, Danielle Berkovic, Jenni Ilomaki, J Simon Bell, Danny Liew, Christopher M Reid and 3 more

Abstract read
In one paragraph

Article in British journal of clinical pharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

13 authors.

Zhomart OrmanSchool of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia.ORCID https://orcid.org/0000-0002-0223-4236
Jia Wei KohSchool of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia.ORCID https://orcid.org/0000-0002-4304-2783
Caroline TrinSchool of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia.
Zanfina AdemiSchool of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia.ORCID https://orcid.org/0000-0002-0625-3522
Ella ZomerSchool of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia.ORCID https://orcid.org/0000-0002-9993-4297
Danielle BerkovicSchool of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia.ORCID https://orcid.org/0000-0002-9967-6451
Jenni IlomakiCentre for Medicine Use and Safety, Faculty of Pharmacy and Pharmaceutical Sciences, Monash University, Melbourne, VIC, Australia.ORCID https://orcid.org/0000-0002-0348-9441
J Simon BellCentre for Medicine Use and Safety, Faculty of Pharmacy and Pharmaceutical Sciences, Monash University, Melbourne, VIC, Australia.ORCID https://orcid.org/0000-0002-6115-2767
Danny LiewSchool of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia.ORCID https://orcid.org/0000-0002-0131-623X
Christopher M ReidSchool of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia.ORCID https://orcid.org/0000-0001-9173-3944
Sean LybrandSchool of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia.
Brittany SchoeningerIQVIA Australia, St Leonards, NSW, Australia.
Stella TalicSchool of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia.ORCID https://orcid.org/0000-0001-7739-3381

Funding

Medical Research Future Fund 2017451
6 · The paper itself

Abstract

aimsThis study aimed to identify distinct trajectories of lipid-modifying medication (LMM) persistence over time and to explore characteristics associated with each pattern.

methodsUsing primary care data from IQVIA, we conducted a retrospective cohort study of adults prescribed LMMs between January 2015 and December 2017, with 5 years of follow-up. Persistence was defined as ≥1 prescription every 6 months. Group-based trajectory modelling identified medication persistence patterns; characteristics were compared using 1-way ANOVA and chi-squared tests.

resultsAmong 51 504 individuals (mean age 62 years, 53% male), 4 distinct trajectories were identified: persistent use (PU, 20%), gradual decline (10%), rapid decline (29%) and early discontinuation (41%). Compared to those who discontinued early, individuals in the rapid decline, gradual decline and PU groups were older by 1.18 (95% confidence interval: 0.82-1.55), 2.61 (2.08-3.13) and 3.71 (3.30-4.12) years, respectively. Persistent users were more likely to have cardiovascular risk factors: a higher proportion of smokers (44.4 vs. 39.6%), elevated systolic blood pressure (≥140 mmHg: 36.9 vs. 32.9%) and reduced renal function (estimated glomerular filtration rate >45 mL/min/m

conclusionsDistinct profiles across trajectories highlight the need for tailored interventions to improve long-term medication use, particularly among younger, healthier individuals and those residing in metropolitan areas.

Indexed as

Cardiovascular DiseasesHypolipidemic AgentsPrimary Health CareAdultAgedFemaleFollow-Up StudiesHeart Disease Risk FactorsHumansMaleMiddle AgedRetrospective StudiesHypolipidemic Agentsgroup‐based trajectory analyseslipid‐modifying medicationsmedication persistenceprimary careprimary preventionstatins

Identifiers

PMID40702916
PMCPMC12569552

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.