Evidence map›Paper›PMID 40918925›Full record

ReviewAmerican journal of preventive cardiology2025

Lipoprotein(a) at a "Tipping Point": case to move to universal screening.

Harpreet S Bhatia

Abstract readReview
In one paragraph

Review in American journal of preventive cardiology, 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

1 author.

Harpreet S BhatiaDivision of Cardiovascular Medicine, University of California San Diego, La Jolla, CA, USA.

Funding

Aspirin for Primary Prevention of Cardiovascular Disease in Patients with Elevated Lipoprotein(a)K08HL166962 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Harpreet Singh Bhatia · 2023 to 2026
$676k
NHLBI NIH HHS K08 HL166962
6 · The paper itself

Abstract

Elevated lipoprotein(a) [Lp(a)] is well established as a common risk factor for atherosclerotic cardiovascular disease (ASCVD). Lp(a) levels are >90 % genetically determined. However, Lp(a) remains very underrecognized as a cardiovascular risk factor with low rates of testing. In this article, the case for universal Lp(a) screening is outlined including the high yield of a single test and the relative stability in levels and risk categories over time resulting in a need to test most people once. Additionally, Lp(a) testing impacts clinical management. At a minimum, elevated Lp(a) is associated with multiple cardiovascular diseases and Lp(a) measurement may be incorporated into more precise individual risk assessment. Elevated Lp(a) should prompt more aggressive risk factor modification, particularly low-density lipoprotein-cholesterol (LDL-C) lowering and a preference for Proprotein convertase subtilisin/kexin type 9 inhibitors (PCSK9i). There may also be a role for aspirin use in primary prevention based on currently available evidence. Identification of elevated Lp(a) also enables cascade screening to further identify affected individuals and helps to enable further research and individuals who may be candidates for novel therapies. While there are strategies to address increased cardiovascular risk in individuals with elevated Lp(a) today, it is clear that residual risk remains, and there are several novel, targeted therapies for lowering Lp(a) that are in advanced stages of development, which are also reviewed. Lp(a) remains underappreciated and undertested in clinical practice, and there are several arguments in favor of testing today with hope for potent targeted therapies for Lp(a)-lowering in the very near future.

Indexed as

LipidsLipoprotein(a)Prevention

Identifiers

PMID40918925
PMCPMC12409449

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.