Evidence map›Paper›PMID 39576403›Full record

ReviewCurrent atherosclerosis reports2024

Lp(a): A Rapidly Evolving Therapeutic Landscape.

Khalil Anchouche, George Thanassoulis

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current atherosclerosis reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Old and New Lines of Therapy Targeting Lipoprotein(a).Current atherosclerosis reports · 2026
    Review
  2. Article
  3. The Emerging Lipid Risk: Lipoprotein(a).Korean circulation journal · 2026
    Review
  4. Article
  5. Review
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.

Khalil AnchoucheMcGill University Health Centre and Research Institute, Montréal, Québec, Canada.
George ThanassoulisMcGill University Health Centre and Research Institute, Montréal, Québec, Canada. george.thanassoulis@mcgill.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewElevated lipoprotein(a) (Lp[a]) is a genetically determined cardiovascular risk factor, causally linked to both atherosclerotic coronary artery disease and aortic stenosis. Elevated Lp(a) is widely prevalent, and several cardiovascular societies now recommend performing Lp(a) screening at least once in all adults. However, there are currently no approved drugs aimed specifically at lowering Lp(a). In this review, we describe several promising Lp(a)-lowering therapies in the drug development pipeline and outline what role these may have in future clinical practice. RECENT

findingsPelacarsen and olpasiran are two novel RNA-based injectable therapies which are being studied in ongoing phase 3 clinical trials, with the earliest of these to be concluded in 2025. These drugs act by degrading transcribed LPA mRNA, which would normally yield the apolipoprotein(a) constituent of Lp(a). Other candidate drugs, such as Lepodisiran, Zerlasiran, and Muvalaplin, are also in early-stage development. While there are presently no Lp(a)-lowering drugs available for routine clinical use, several promising candidates are currently under investigation. If these prove to be effective in randomized clinical trials, they will expand the cardiovascular care armamentarium and will allow clinicians to treat a presently unmitigated cardiovascular risk factor.

Indexed as

Lipoprotein(a)Coronary Artery DiseaseHumansHypolipidemic AgentsHypolipidemic AgentsLipoprotein(a)Antisense oligonucleotides (ASO)Aortic stenosis (AS)Coronary artery disease (CAD)Lipoprotein(a) (Lp[a])Small interfering RNA (siRNA)

Identifiers

What OpenQuestion 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 OpenQuestion graph.