Evidence map›Paper›PMID 33608010›Full record

Observational studyCardiovascular diabetology2021

Prognostic value of soluble suppression of tumorigenesis-2 (sST2) for cardiovascular events in coronary artery disease patients with and without diabetes mellitus.

Man Li, Lei Duan, Yulun Cai, Benchuan Hao, Jianqiao Chen, Huiying Li, Hongbin Liu

Open access · goldAbstract readComparative StudyObservational Study
In one paragraph

Observational study in Cardiovascular diabetology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 pooled it
2.0field-weighted citation impact, top 13% 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

21 citing papers in PubMed, 2 syntheses or guidelines pooled it, 32 citations in OpenAlex.

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  11. NSTEMI Risk Prediction with the Combination of the Biomarkers Epicardial Adipose Tissue and Soluble Suppression of Tumorigenicity 2.Medical science monitor : international medical journal of experimental and clinical research · 2025
    Observational
  12. sST2 levels and 3D speckle tracking as predictors of CAD severity in chronic coronary syndrome.The Egyptian heart journal : (EHJ) : official bulletin of the Egyptian Society of Cardiology · 2024
    Article
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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 at 2 institutions in 1 country.

Man LiDepartment of Cardiology, The Second Medical Center, Chinese PLA General Hospital, No. 28, Fu Xing Road, Hai Dian, Beijing, China.
Lei DuanDepartment of Cardiology, The Second Medical Center, Chinese PLA General Hospital, No. 28, Fu Xing Road, Hai Dian, Beijing, China.
Yulun CaiDepartment of Cardiology, The Second Medical Center, Chinese PLA General Hospital, No. 28, Fu Xing Road, Hai Dian, Beijing, China.
Benchuan HaoDepartment of Cardiology, The Second Medical Center, Chinese PLA General Hospital, No. 28, Fu Xing Road, Hai Dian, Beijing, China.
Jianqiao ChenDepartment of Cardiology, The Second Medical Center, Chinese PLA General Hospital, No. 28, Fu Xing Road, Hai Dian, Beijing, China.
Huiying LiDepartment of Cardiology, The Second Medical Center, Chinese PLA General Hospital, No. 28, Fu Xing Road, Hai Dian, Beijing, China.
Hongbin LiuDepartment of Cardiology, The Second Medical Center, Chinese PLA General Hospital, No. 28, Fu Xing Road, Hai Dian, Beijing, China. liuhbcad301@163.com.ORCID 0000-0002-9418-7341
Chinese PLA General Hospital · CNPeking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSoluble suppression of tumorigenesis-2 (sST2) is implicated in myocardial overload and has long been recognized as an inflammatory marker related to heart failure and acute coronary syndrome, but data on the prognostic value of sST2 in patients with coronary artery disease (CAD) remain limited. This study sought to investigate the prognostic value of sST2 in patients with established CAD and its predictive value in CAD patients with and without type 2 diabetes mellitus (T2DM).

methodsA total of 3641 consecutive patients were included in this prospective cohort study. The primary end point was major adverse cardiovascular events (MACEs). The secondary end point was all-cause death. The association between sST2 and outcomes was investigated using multivariable Cox regression.

resultsDuring a median follow-up of 6.4 years, MACEs occurred in 775 patients, and 275 patients died. Multiple Cox regression models showed that a higher level of sST2 was an independent predictor of MACEs development (HR = 1.36, 95% CI 1.17-1.56, p < 0.001) and all-cause death (HR = 2.01, 95% CI 1.56-2.59, p < 0.001). The addition of sST2 to established risk factors significantly improved risk prediction of the composite outcome of MACEs and all-cause death (C-index, net reclassification index, and integrated discrimination improvement, all p < 0.05). In subgroup analysis depending on diabetes status, the diabetes group had a significantly higher level of sST2, which remained a significant predictor of MACEs and all-cause death in patients with and without T2DM in multivariable models. The area under the curve (AUC) of CAD patients with diabetes mellitus was significantly higher than that of those without T2DM. For MACEs, the AUC was 0.737 (patients with T2DM) vs 0.620 (patients without T2DM). For all-cause death, the AUC was 0.923 (patients with T2DM) vs 0.789 (patients without T2DM).

conclusionsA higher level of sST2 is significantly associated with long-term MACEs and all-cause death in CAD patients with and without T2DM. sST2 has strong predictive value for cardiovascular adverse events in CAD patients with T2DM, and these results provide new evidence for the role of sST2.

Indexed as

AdultAgedAged, 80 and overBiomarkersCoronary Artery DiseaseDiabetes Mellitus, Type 2FemaleHumansInterleukin-1 Receptor-Like 1 ProteinMaleMiddle AgedPredictive Value of TestsPrognosisProspective StudiesRisk AssessmentRisk FactorsBiomarkersIL1RL1 protein, humanInterleukin-1 Receptor-Like 1 ProteinAtherosclerosisBiomarkerCoronary artery diseasesST2

Identifiers

PMID33608010
PMCPMC7896409
OpenAlexW3108230781

What OpenQuestion holds

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LicenceCC BY
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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.