Evidence mapPaperPMID 41209110Full record

ArticleReviews in cardiovascular medicine2025

Genetic Evidence Linking Lipoprotein(a) to Cardiovascular Disease and the Potential Role of Aspirin: A Mendelian Randomization Study.

Jiangshan Tan, Wei Xu, Song Hu, Jingyang Wang, Lulu Wang, Jun Zhu, Yanmin Yang

Abstract read
In one paragraph

Article in Reviews in cardiovascular medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Jiangshan TanDepartment of Cardiology, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, National Clinical Research Center of Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, 100037 Beijing, China.ORCID https://orcid.org/0000-0001-8154-674X
Wei XuDepartment of Cardiology, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, National Clinical Research Center of Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, 100037 Beijing, China.ORCID https://orcid.org/0000-0002-3189-5199
Song HuHeart Failure Center, Department of Cardiology, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, National Clinical Research Center of Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, 100037 Beijing, China.ORCID https://orcid.org/0000-0002-3356-9450
Jingyang WangDepartment of Cardiology, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, National Clinical Research Center of Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, 100037 Beijing, China.ORCID https://orcid.org/0000-0003-4869-696X
Lulu WangDepartment of Cardiology, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, National Clinical Research Center of Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, 100037 Beijing, China.ORCID https://orcid.org/0009-0004-5328-8420
Jun ZhuEmergency Center, Department of Cardiology, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, National Clinical Research Center of Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, 100037 Beijing, China.ORCID https://orcid.org/0000-0001-9292-1154
Yanmin YangEmergency Center, Department of Cardiology, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, National Clinical Research Center of Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, 100037 Beijing, China.ORCID https://orcid.org/0000-0002-6863-5585

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Many studies have revealed the observational associations between lipoprotein(a) (Lp(a)) concentrations and the incidence of cardiovascular diseases (CVDs). However, the causal associations remain unclear. Methods: Public summary data were analyzed using a Mendelian randomization (MR) design to assess the causal associations between Lp(a) levels and risks of nine CVDs and evaluate the potential impact of aspirin on Lp(a) levels. The principal analysis was conducted employing the random-effects inverse-variance weighted (IVW) method. Furthermore, the weighted median and MR-Egger approaches were used as the sensitivity analysis. Additionally, the significantly associated single nucleotide polymorphisms (SNPs) in salicylic acid (INTERVAL and EPIC-Norfolk, n = 14,149) were chosen to assess the potential effects of aspirin on lowering Lp(a) levels. Results: The IVW analysis showed that the per standard deviation (SD) increment in Lp(a) level was causally associated with a higher risk of coronary artery disease (odds ratio (OR), 1.237; 95% confidence interval (CI), 1.173-1.303), atrial fibrillation (OR, 1.030; 95% CI, 1.011-1.050), heart failure (OR, 1.074; 95% CI, 1.053-1.096), hypertension (OR, 1.006; 95% CI, 1.004-1.008), and peripheral artery disease (OR, 1.001; 95% CI, 1.001-1.001) (all Conclusions: A causal nexus was discerned between Lp(a) levels and an increased risk of conditions including coronary artery disease, atrial fibrillation, heart failure, hypertension, and peripheral artery disease. Furthermore, administering aspirin may be a potential therapeutic to reduce these CVD risks among individuals with elevated Lp(a) levels.

Indexed as

cardiovascular diseaselipoprotein(a)Mendelian randomization

Identifiers

PMID41209110
PMCPMC12593744

What Socratic holds

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Registered trials

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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.