ReviewDiabetes, obesity & metabolism2025
Why, how and in whom should we measure levels of lipoprotein(a): A review of the latest evidence and clinical implications.
Review 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 8 papers.
What it found
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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
8 citing papers in PubMed.
- Lipopotrein(a): from the complex metabolism to the optimal lowering drug.Internal and emergency medicine · 2026Review
- Heterogeneity in Lipoprotein(a) Profile Changes Across the Menopausal Transition.medRxiv : the preprint server for health sciences · 2026Article
- Evolving paradigms in the management of dyslipidemia: comparison between the 2019 ESC/EAS guidelines and the 2025 focus update.Internal and emergency medicine · 2026Review
- Lipoprotein(a) in Residual Cardiovascular Risk: Measurement Challenges, Assay Standardisation, and Clinical Implications.International journal of general medicine · 2026Review
- Lipoprotein(a): structural basis, bidirectional risk, and therapeutic frontiers.Journal of clinical biochemistry and nutrition · 2026Article
- Lipoprotein(a) testing trends in young ischemic stroke patients from 2015-2024: An analysis of 188,000 individuals.Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association · 2026Article
- Evolving strategies in cardiovascular disease prevention: 2025 American society for preventive cardiology highlights.American journal of preventive cardiology · 2025Review
- Biomarkers for cardiovascular-kidney metabolic syndrome: Clinical utility in diagnosis, screening, and treatment.Diabetes, obesity & metabolism · 2025Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Lipoprotein(a) [Lp(a)] is a genetically determined, causal risk factor for atherosclerotic cardiovascular disease (ASCVD) and calcific aortic valve disease (CAVD). Despite robust evidence from epidemiological and genetic studies, Lp(a) remains underrecognised in clinical practice due to challenges in measurement, lack of guideline familiarity and limited therapeutic options. In this narrative review, we summarise the pathophysiological mechanisms linking Lp(a) to atherogenesis, thrombosis and inflammation, emphasising its unique structural features and causal role in cardiovascular disease. We discuss assay methodologies and make the case for a single lifetime measurement given the genetic stability of Lp(a). We review guideline-based indications for testing, highlighting high-risk populations such as those with premature ASCVD, a family history of cardiovascular disease and individuals of African or South Asian ancestry. We additionally outline clinical strategies to reduce ASCVD risk in individuals with elevated Lp(a), including lifestyle optimisation, statin therapy, PCSK9 inhibitors, and aspirin in select populations. Emerging targeted therapies, including antisense oligonucleotides and siRNA-based agents, demonstrate up to 90% Lp(a) reduction and are currently being evaluated in large-scale cardiovascular outcomes trials. As precision medicine advances, Lp(a) represents both a critical risk factor and a promising therapeutic target. Broader implementation of Lp(a) testing, particularly in high-risk individuals, will help improve ASCVD prevention efforts.
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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.