Evidence map›Paper›PMID 41343204›Full record

ArticleJournal of global health2025

Rethinking global statin guidelines for older adults in resource-diverse settings.

Karima Chaabna, Ravinder Mamtani, Sohaila Cheema

Abstract read
In one paragraph

Article in Journal of global health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Karima Chaabna
Ravinder Mamtani
Sohaila Cheema

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Statin guidelines for older adults are predominantly informed by evidence from high-income countries (HICs), making them less relevant in low- and middle-income countries (LMICs) with varying healthcare capacities. Identical patients may receive different recommendations depending on the geographic context, as seen in European Systematic Coronary Risk Evaluation 2 (SCORE2) and USA's Predicting Risk of Cardiovascular Disease EVENTs (PREVENT) guidelines. LMICs often rely on the World Health Organization cardiovascular risk charts and implementation frameworks, such as the package of essential non-communicable disease interventions and HEARTS. While these frameworks are generally more feasible in resource-limited settings, they lack the clinical specificity of HIC-based guidelines. Emerging biological evidence challenges uniform cholesterol-lowering therapies in older adults. Polypharmacy, potential adverse effects, and the limited capacity for ongoing monitoring in many settings further complicate the net benefit of statin therapy in this population. These challenges underscore the need for context-sensitive, age-appropriate guidelines. We outline a context-sensitive approach to statin use in older adults and propose guiding principles to support more equitable, feasible, and clinically appropriate decision making. These include aligning treatment with functional status and prognosis, using fixed-dose combinations, and integrating statin use into broader primary care strategies through task-sharing and simplified protocols. To ensure meaningful cardiovascular disease prevention in ageing populations, global guidelines must evolve to reflect regional capacity, biological variation, and implementation.

Indexed as

Cardiovascular DiseasesGlobal HealthHydroxymethylglutaryl-CoA Reductase InhibitorsPractice Guidelines as TopicAgedDeveloping CountriesHumansHydroxymethylglutaryl-CoA Reductase Inhibitors

Identifiers

PMID41343204
PMCPMC12677241

What OpenQuestion holds

Texttitle and abstract
LicenceCC BY
Read underepoch 390

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.