Evidence map›Paper›PMID 40059362›Full record

Observational studyMedical science monitor : international medical journal of experimental and clinical research2025

NSTEMI Risk Prediction with the Combination of the Biomarkers Epicardial Adipose Tissue and Soluble Suppression of Tumorigenicity 2.

Jiayu Yin, Bowen Qiu, Tingting Li, Yifei Tao, Xiaosong Gu

Abstract readObservational Study
In one paragraph

Observational study in Medical science monitor : international medical journal of experimental and clinical research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. 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

5 authors.

Jiayu YinDepartment of Cardiology, Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
Bowen QiuDepartment of Cardiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China.
Tingting LiDepartment of Cardiology, Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
Yifei TaoDepartment of Cardiology, Affiliated Changshu Hospital of Nantong University, Changshu, Jiangsu, China.
Xiaosong GuDepartment of Cardiology, Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND Epicardial adipose tissue (EAT) and soluble suppression of tumorigenicity 2 (sST2) are valuable markers of myocardial fibrosis, but the relationship between EAT and sST2 remains controversial. This study aimed to evaluate the role of combined EAT measurements and levels of sST2 and the risk of major adverse cardiovascular events (MACEs) in patients with diagnosis of non-ST-elevation myocardial infarction (NSTEMI). MATERIAL AND METHODS This was a single-center retrospective observational study. Patients diagnosed with NSTEMI from December 2019 to December 2022 were included. All patients completed the sST2 tests and computed tomography angiography during hospitalization. During the 12-month follow-up, MACEs were defined as all-cause death, reinfarction, and new congestive heart failure. RESULTS A total of 435 patients were enrolled in this study, of whom 59 patients (13.6%) developed MACEs. After adjusting for confounding factors, multivariate COX regression analysis showed that high EAT index (EATi) (HR=4.60; 95% CI 2.499-8.481; P<0.001) and high sST2 (HR=3.35; 95% CI 1.894-5.914; P<0.001) were the independent predictors of MACEs. According to Pearson correlation analysis, there was a positive correlation between EATi and sST2 (r=0.347, P<0.001). Kaplan-Meier analysis showed the patients with high sST2 or EATi had a significantly higher long-term risk of MACEs (both, log-rank P<0.001). After the addition of EATi and/or sST2, the predictive ability of the new model for MACEs was significantly improved (P<0.005). CONCLUSIONS EAT and sST2 are positively correlated in patients with NSTEMI. The combination of EAT and sST2 has a solid potential for predicting MACEs in patients with NSTEMI.

Indexed as

Adipose TissueInterleukin-1 Receptor-Like 1 ProteinNon-ST Elevated Myocardial InfarctionPericardiumAgedBiomarkersEpicardial Adipose TissueFemaleHumansMaleMiddle AgedPrognosisRetrospective StudiesRisk AssessmentRisk FactorsBiomarkersIL1RL1 protein, humanInterleukin-1 Receptor-Like 1 Protein

Identifiers

PMID40059362
PMCPMC11908075

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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 OpenQuestion graph.