ReviewCurrent atherosclerosis reports2025
Toward Precision Medicine in Atherosclerotic Cardiovascular Disease: Insights from Omics Data into Sex Differences.
Review in Current atherosclerosis reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
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.
Who cites it
4 citing papers in PubMed.
- Association between triglyceride glucose-body mass index and all-cause mortality in critically ill patients with atherosclerotic cardiovascular diseases: a retrospective cohort study using the MIMIC-IV database.BMC cardiovascular disorders · 2026Article
- Association between routine blood count-derived inflammatory markers and left ventricular hypertrophy in diabetic kidney disease patients: a cross-sectional study.Frontiers in clinical diabetes and healthcare · 2026Article
- Sex-specific insights in atherosclerosis and pulmonary arterial hypertension: an overlooked comorbidity.Frontiers in cardiovascular medicine · 2026Review
- Sex differences in iron stores and associations of body iron with cardiovascular risk factors in the middle-aged general population.Frontiers in endocrinology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors.
Funding
Abstract
purpose of reviewAtherosclerotic cardiovascular disease (ASCVD) remains a leading cause of morbidity and mortality worldwide. Although there is increasing recognition of sex differences in ASCVD epidemiology, pathogenesis, and clinical outcomes, the underlying biological mechanisms are still insufficiently understood. Women often present with distinct disease phenotypes, such as a higher prevalence of fibrous plaques and microvascular dysfunction, compared with the lipid-rich, inflammatory plaques more typical in men. This review examines recent omics research to clarify the molecular basis of these sex-specific patterns and explores their implications for precision cardiovascular medicine. RECENT
findingsAdvances in genomics, epigenomics, transcriptomics, proteomics, and metabolomics have shown that sex differences in ASCVD arise from complex hormonal, genetic, epigenetic, and molecular interactions. The variety of available omics approaches offers the potential to discover sex-specific regulatory networks and therapeutic targets, thereby addressing persistent knowledge gaps. However, significant challenges remain, including integrating these diverse omics layers, harmonising datasets across platforms, managing substantial computational demands, and navigating ethical constraints related to data sharing. Multiomics technologies provide unprecedented opportunities to dissect sex-specific mechanisms in ASCVD and to refine individualised risk stratification and therapeutic strategies. Overcoming current analytical and infrastructural barriers through collaborative efforts, standardised methodologies, and responsible data governance will be critical to unlocking the full potential of multiomics in precision cardiovascular medicine. This review synthesises recent evidence across omics domains and underscores their potential to improve ASCVD prevention and treatment.
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What Socratic holds
Registered trials
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.