Evidence map›Paper›PMID 42098191›Full record

ArticleScientific reports2026

Association of C-reactive protein to albumin ratio with the risk of left ventricular aneurysm formation.

Dong Hu, Dongyang Wu, Ting Huang, Guangji Wang, Qinshuo Zhao, Shaoshao Zhang, Xin Guo, Bo Liu, Man-Hua Chen, Yi Zhou

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Dong HuDepartment of Cardiology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430000, Hubei Province, China. hudong452356@163.com.
Dongyang WuDepartment of Cardiology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430000, Hubei Province, China.
Ting HuangDepartment of Cardiology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430000, Hubei Province, China. hbtmail@126.com.
Guangji WangDepartment of Cardiology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430000, Hubei Province, China.
Qinshuo ZhaoDepartment of Cardiology, Renmin Hospital of Wuhan University, 238 Jiefang Road, Wuhan, 430060, China. Qinshuozhao1030@126.com.
Shaoshao ZhangDepartment of Cardiology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430000, Hubei Province, China. 395920216@qq.com.
Xin GuoDepartment of Cardiology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430000, Hubei Province, China. 515210256@qq.com.
Bo LiuDepartment of Cardiology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430000, Hubei Province, China. 364378983@qq.com.
Man-Hua ChenDepartment of Cardiology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430000, Hubei Province, China. CMHmedicine@163.com.
Yi ZhouDepartment of Cardiology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430000, Hubei Province, China. coronary@aliyun.com.

Funding

Department of Science and Technology Natural Science Foundation, General Program, Hubei Provincial 2025AFB594
6 · The paper itself

Abstract

The C-reactive protein (CRP) to albumin ratio (CAR) has emerged as a novel marker of inflammation. However, its potential predictive value for the development of left ventricular aneurysm (LVA) has not yet been evaluated. This study aims to explore the association between CAR and the risk of LVA in patients experiencing acute ST-segment elevation myocardial infarction (STEMI). This study recruited 551 patients in the first cohort and 471 patients in the validation cohort. Multivariable logistic regression analysis, restricted cubic splines (RCS) analysis, and receiver operating characteristic were conducted to assess the predictive value of CAR for LVA. The prevalence of LVA were 14.5% in the first cohort and 13.6% in the validation cohort. Multivariable logistic regression analysis indicated that individuals in the highest quartile of CAR (Q4) were significantly associated with the risk of LVA formation compared to those in the lowest quartile (Q1) in both cohorts (First cohort: OR = 3.26, 95% CI = 1.51-7.05, P = 0.003; Validation cohort: OR = 4.05, 95% CI = 1.71-9.60, P = 0.002). RCS analysis demonstrated a positive and nonlinear association between CAR and the risk of LVA (overall P < 0.05, nonlinear P < 0.05). Furthermore, the discriminative ability of CAR for LVA is 0.72 in the first cohort and 0.74 in the validation cohort, exceeding that of both CRP and albumin alone. Subgroup analyses further corroborated the robustness of our findings. Elevated CAR was independently linked to an increased risk of LVA development in patients with STEMI who received primary PCI. This finding may hold considerable significance for clinical practice and could aid in the development of a personalized prevention strategy that incorporates the monitoring of CAR.

Indexed as

C-Reactive ProteinHeart AneurysmSerum AlbuminST Elevation Myocardial InfarctionAgedBiomarkersFemaleHumansMaleMiddle AgedRisk FactorsROC CurveBiomarkersC-Reactive ProteinSerum AlbuminAcute ST-segment elevation myocardial infarctionC-reactive protein-to-albumin ratioLeft ventricular aneurysmRisk

Identifiers

PMID42098191
PMCPMC13338225

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.