Evidence map›Paper›PMID 38242883›Full record

ArticleScientific reports2024

Predictive value of serum TBA for 2-year MACEs in ACS patients undergoing PCI: a prospective cohort study.

Wen Wen, Qinze Li, Jianqing She, Xiaofang Bai, Lisha Zhang, Ruifeng Li, Yan Wu, Juan Zhou, Zuyi Yuan

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 17% of its field
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 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. 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

9 authors at 4 institutions in 2 countries.

Wen Wen *Department of Ultrasound, Clinical Medical College, First Affiliated Hospital of Chengdu Medical College, Chengdu, China. septem0420@qq.com.
Qinze Li *Department of Ultrasound, Clinical Medical College, First Affiliated Hospital of Chengdu Medical College, Chengdu, China.
Jianqing SheDepartment of Cardiovascular Medicine, First Affiliated Hospital, Xi'an Jiaotong University, Xi'an, China.
Xiaofang BaiDepartment of Ultrasound, First Affiliated Hospital, Xi'an Jiaotong University, Xi'an, China.
Lisha ZhangDepartment of Cardiology, Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Ruifeng LiDepartment of Cardiovascular Medicine, First Affiliated Hospital, Xi'an Jiaotong University, Xi'an, China.
Yan WuDepartment of Cardiovascular Medicine, First Affiliated Hospital, Xi'an Jiaotong University, Xi'an, China.
Juan ZhouDepartment of Cardiovascular Medicine, First Affiliated Hospital, Xi'an Jiaotong University, Xi'an, China.
Zuyi YuanDepartment of Cardiovascular Medicine, First Affiliated Hospital, Xi'an Jiaotong University, Xi'an, China. zuyiyuan@mail.xjtu.edu.cn.
First Affiliated Hospital of Xi'an Jiaotong University · CNFirst Affiliated Hospital of Chengdu Medical College · CNSecond Affiliated Hospital of Xi'an Jiaotong University · CNXi'an Jiaotong University · CN

Funding

National Natural Science Foundation of China 81800446Scientific Research Project of First Affiliated Hospital of Chengdu Medical College CYFY-GQ57
6 · The paper itself

Abstract

Bile acids play important roles in lipid metabolism and glucose homeostasis. Limited research exist on the association between serum total bile acid (TBA) levels and major adverse cardiovascular events (MACEs) in patients with acute coronary syndrome (ACS), particularly those with comorbid type 2 diabetes mellitus (T2DM). This study was conducted to examine the relationship between baseline serum TBA level and T2DM status in patients with ACS after percutaneous coronary intervention (PCI) and to identify the predictive value of TBA levels for a 2-year risk of MACEs. 425 ACS patients underwent PCI were recruited and divided into three groups based on baseline serum TBA concentration. An analysis of the association between the T2DM status and baseline serum TBA levels was conducted using univariate linear regression and multivariate linear regression. The predictive relevance of serum TBA levels was evaluated using the receiver operating characteristic (ROC) curve and Cox regression. Kaplan-Meier curves were employed to analyze the differences among groups in predicting MACEs over a 2-year follow-up period. Baseline serum TBA levels were higher in ACS patients who were diagnosed with T2DM (the median 3.6 µmol/L) than those without T2DM (the median 3.0 µmol/L). T2DM status in ACS patients was positively correlated with baseline serum TBA concentrations (β: 1.7, 95% confidence interval [CI] 0.3-3.0), particularly in the male (β: 2.0, 95% CI 0.3-3.6) and 50-69-year-old (β: 2.5, 95% CI 0.6-4.4) populations. The areas under the ROC curve of baseline serum TBA levels predicted MACEs in ACS and ACS-T2DM patients following PCI were 0.649 (95% CI 0.595-0.703) and 0.783 (95% CI 0.685-0.881), respectively. Furthermore, Cox regression analysis showed that baseline serum TBA level was associated with the occurrence of MACEs in patients with ACS after PCI over a 2-year follow-up period, especially in those diagnosed with T2DM, whose baseline TBA concentration was lower than 10.0 µmol/L. ACS Patients with T2DM had higher serum TBA levels. TBA level at baseline was an independent predictor of MACEs in ACS patients who underwent PCI, especially with comorbid T2DM.

Indexed as

Acute Coronary SyndromeDiabetes Mellitus, Type 2Percutaneous Coronary InterventionHeartHumansMaleProspective StudiesRisk Factors

Identifiers

PMID38242883
PMCPMC10799034
OpenAlexW4391023783

What Socratic holds

Textmetadata
LicenceCC BY
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.