Evidence map›Paper›PMID 40703143›Full record

ArticleCurrent cardiovascular risk reports2025

Current Clinical Trials for Treating Elevated Lipoprotein(a).

Chris De Los Reyes, Rishi Raj Rikhi, Sean Doherty, Sebastian Hernandez, Saeid Mirzai, Michael D Shapiro, Michael Christof, Scott McIntosh, Nathan D Wong, Robert C Block

Abstract read
In one paragraph

Article in Current cardiovascular risk reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Review
  6. Article
  7. Article
  8. Review
  9. 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

10 authors.

Chris De Los ReyesDepartment of Public Health Sciences, School of Medicine and Dentistry, University of Rochester Medical Center, Rochester, NY, USA.
Rishi Raj RikhiCenter for Prevention of Cardiovascular Disease, Section on Cardiovascular Medicine, Wake Forest University School of Medicine, Winston Salem, NC, USA.
Sean DohertyCenter for Prevention of Cardiovascular Disease, Section on Cardiovascular Medicine, Wake Forest University School of Medicine, Winston Salem, NC, USA.
Sebastian HernandezCenter for Prevention of Cardiovascular Disease, Section on Cardiovascular Medicine, Wake Forest University School of Medicine, Winston Salem, NC, USA.
Saeid MirzaiCenter for Prevention of Cardiovascular Disease, Section on Cardiovascular Medicine, Wake Forest University School of Medicine, Winston Salem, NC, USA.
Michael D ShapiroCenter for Prevention of Cardiovascular Disease, Section on Cardiovascular Medicine, Wake Forest University School of Medicine, Winston Salem, NC, USA.
Michael ChristofDepartment of Public Health Sciences, School of Medicine and Dentistry, University of Rochester Medical Center, Rochester, NY, USA.
Scott McIntoshDepartment of Public Health Sciences, School of Medicine and Dentistry, University of Rochester Medical Center, Rochester, NY, USA.
Nathan D WongMary and Steve Wen Cardiovascular Division, Department of Medicine, University of California, Irvine School of Medicine, Irvine, CA, USA.
Robert C BlockDepartment of Public Health Sciences, Cardiology Division of the Department of Medicine, Center for Community Health, School of Medicine and Dentistry, University of Rochester Medical Center, Rochester, NY, USA.

Funding

CVD Epidemiology Training ProgramT32HL076132 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI DAVID McLeod HERRINGTON · 2004 to 2026
$8.4M
NHLBI NIH HHS T32 HL076132
6 · The paper itself

Abstract

Purpose of Review: Numerous studies have established lipoprotein(a) [Lp(a)] as an independent and modifiable risk factor for atherosclerotic cardiovascular disease (ASCVD) and calcific aortic valve stenosis (CAVS). As such Lp(a) has become the focus of targeted drug therapy development with the goal of reducing Lp(a) serum concentrations and improving outcomes. This review aims to inform readers on the investigational agents currently in clinical trials and highlight key differences including dosing intervals and routes of administration that may facilitate uptake and retention of a particular potential medication in certain patient populations. Recent Findings: Five investigational agents are currently undergoing various stages of clinical trials for the treatment of elevated Lp(a). Three potential therapies are small interfering RNA (siRNA) molecules and a fourth is an antisense oligonucleotide (ASO) all of which are subcutaneously injected. A fifth agent is a small molecule inhibitor that is orally administered. A sixth agent, a cholesteryl ester transfer protein (CETP) inhibitor that is primarily being studied for LDL-C reduction has shown promise for reducing Lp(a). A seventh agent based on gene-editing is currently in the developmental stage. Results have revealed notable reductions in Lp(a) with favorable tolerability and safety. Phase 3 trials will be crucial in determining the viability of lowering Lp(a) with such therapies and improving cardiovascular outcomes. Summary: Promising results indicate the potential in the near future to have medications primarily for lowering Lp(a) which has thus far eluded targeted drug therapy. As such advances stand to benefit large segments of the population living with and at risk for ASCVD, future research is vital to validate safety and efficacy in the long-term as well to understand how to optimize uptake and retention among patients with diverse circumstances.

Indexed as

atherosclerotic cardiovascular diseasecalcific aortic stenosisdyslipidemiaLipoprotein(a)short interfering RNA

Identifiers

PMID40703143
PMCPMC12282488

What OpenQuestion holds

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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 OpenQuestion graph.