Evidence map›Paper›PMID 42835391›Full record

ArticleFrontiers in cardiovascular medicine2026

Lp(a), platelet count, aspirin and cardiovascular outcome: a prospective cohort analysis.

Xuan Song, Jia-Xin Huang, Qian Hou, Jing Chen, Hong Shu, Li-Chan Tao, Jian-Jun Li

Abstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2026. 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

7 authors.

Xuan Song *Department of Endocrinology, The Third Affiliated Hospital of Soochow University, Changzhou, China.
Jia-Xin Huang *Department of Cardiology, The Third Affiliated Hospital of Soochow University, Changzhou, China.
Qian Hou *Department of Cardiology, The Third Affiliated Hospital of Soochow University, Changzhou, China.
Jing ChenDepartment of Cardiology, The Third Affiliated Hospital of Soochow University, Changzhou, China.
Hong ShuDepartment of Endocrinology, The Third Affiliated Hospital of Soochow University, Changzhou, China.
Li-Chan TaoDepartment of Cardiology, The Third Affiliated Hospital of Soochow University, Changzhou, China.
Jian-Jun LiCardiometabolic Center, State Key Laboratory of Cardiovascular Diseases, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Elevated lipoprotein(a) [Lp(a)] and increased platelet count independently predict major adverse cardiovascular events (MACE), yet their interplay and joint value in cardiovascular risk stratification remain incompletely elucidated. We examined their separate and joint associations with incident MACE, with a secondary exploratory analysis of whether preventive benefit from aspirin differs across biomarker-defined subgroups. Methods and results: We included 250,927 participants free of prior cardiovascular disease (CVD) from the UK Biobank (enrolled 2006-2010). Participants were categorized into four groups based on Lp(a) status (elevated: >125 nmol/L) and platelet count (increased: upper tertile, >273 × 10 Conclusion: Concomitant elevation of Lp(a) and platelet count identifies a subgroup of individuals at substantially higher risk for MACE. The observed potential benefit of aspirin in the double-high subgroup is exploratory and warrants further prospective investigation.

Indexed as

aspirincardiovascular risklipoprotein(a)platelet countprimary prevention

Identifiers

PMID42835391
PMCPMC13635306

What Socratic 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 Socratic graph.