Evidence mapPaperPMID 41377643Full record

ReviewHeart international2025

Eliminating Sex Disparities in Dyslipidaemia Screening, Diagnosis and Treatment.

Amelia E Power, Dinesh K Kalra

Abstract readReview
In one paragraph

Review in Heart international, 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

2 authors.

Amelia E PowerDepartment of Medicine, University of Louisville School of Medicine, Louisville, KY, USA.
Dinesh K KalraCardiovascular Medicine, Rudd Heart & Lung Center, University of Louisville School of Medicine, Louisville, KY, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite strides in cardiovascular disease (CVD) management, dyslipidaemia remains a significant yet underdiagnosed and undertreated risk factor, particularly among women. Sex-based disparities persist in screening, diagnosis and treatment, leading to suboptimal management and increased CVD risk in female populations. This article explores the current literature on sex disparities in dyslipidaemia, analysing screening guidelines, diagnosis trends and treatment gaps. It examines factors influencing lipid metabolism across a woman's lifespan, including hormonal fluctuations, pregnancy, menopause and their impact on CVD risk. The article also highlights barriers to effective lipid management in women, including clinician biases, inadequate screening and lower prescription rates of statin and non-statin therapies. Women are less likely to undergo lipid screening despite having significant CVD risk factors. Even when diagnosed, they receive statin therapy at lower rates than men, and treatment intensification is less frequent. Additionally, clinical trials assessing lipid-lowering therapies often underrepresent women, limiting the applicability of evidence-based recommendations. The lack of sex-specific risk assessment tools further contributes to missed opportunities for prevention and treatment. Addressing disparities in dyslipidaemia management is crucial to reducing the burden of CVD in women. Enhancing awareness among clinicians, improving screening strategies, incorporating sex-specific risk factors into predictive models and increasing female representation in clinical trials are essential steps towards equitable cardiovascular care.

Indexed as

Cardiovascular diseasediagnosisdyslipidaemiahyperlipidaemialipid metabolismscreeningsex disparitiesstatintreatment

Identifiers

PMID41377643
PMCPMC12687277

What Socratic holds

Textmetadata
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 Socratic graph.