Evidence map›Paper›PMID 40108375›Full record

ArticleScientific reports2025

Early prediction of microvascular obstruction prior to percutaneous coronary intervention.

Ziyu Zhou, Qing Chen, Zeqing Zhang, Tingting Wang, Yan Zhao, Wensu Chen, Zhuoqi Zhang, Shuyan Li, Boming Song

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Reperfusion injury in STEMI: a double-edged sword.The Egyptian heart journal : (EHJ) : official bulletin of the Egyptian Society of Cardiology · 2025
    Review
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.

Ziyu Zhou *Information Center, Chengdu Second People's Hospital, Chengdu, 610017, China.
Qing Chen *Department of Cardiology, Huai'an First People's Hospital, Nanjing Medical University, Huai'an, 223300, China.
Zeqing ZhangDepartment of Cardiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221002, Jiangsu, China.
Tingting WangThe First School of Clinical Medicine, Xuzhou Medical University, Xuzhou, 221002, Jiangsu, China.
Yan ZhaoSchool of Medical Information and Engineering, Xuzhou Medical University, Xuzhou, 221002, Jiangsu, China.
Wensu ChenDepartment of Cardiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221002, Jiangsu, China.
Zhuoqi ZhangDepartment of Cardiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221002, Jiangsu, China. zhuoqizhang@sina.com.
Shuyan LiSchool of Medical Information and Engineering, Xuzhou Medical University, Xuzhou, 221002, Jiangsu, China. lishuyan@xzhmu.edu.cn.
Boming SongSchool of Medical Information and Engineering, Xuzhou Medical University, Xuzhou, 221002, Jiangsu, China. boming.song@xzhmu.edu.cn.

Funding

The Basic Science (Natural Science) of Higher Education Institutions in Jiangsu Province 21KJB510026
6 · The paper itself

Abstract

Early prediction of microvascular obstruction (MVO) occurrence in acute myocardial infarction (AMI) patients undergoing percutaneous coronary intervention (PCI) can facilitate personalized management and improve prognosis. This study developed a prediction model for MVO occurrence using preoperative clinical data and validated its performance in a prospective cohort. A total of 504 AMI patients were included, with 406 in the exploratory cohort and 98 in the prospective cohort. Feature selection was performed using random forest recursive feature elimination (RF-RFE), identifying five key predictors: High-Sensitivity Troponin T, Neutrophil Count, Creatine Kinase-MB, Fibrinogen, and Left Ventricular Ejection Fraction. Among the models developed, logistic regression demonstrated the highest predictive performance, achieving an AUC score of 0.800 in the exploratory cohort and 0.792 in the prospective cohort. This model has been integrated into a user-friendly online platform, providing a practical tool for guiding personalized perioperative management and improving patient prognosis.

Indexed as

MicrovesselsMyocardial InfarctionPercutaneous Coronary InterventionAgedBiomarkersFemaleHumansMaleMiddle AgedPrognosisProspective StudiesTroponin TBiomarkersTroponin TAcute myocardial infarctionLogistic regressionMachine learningMicrovascular obstructionPercutaneous coronary intervention

Identifiers

PMID40108375
PMCPMC11923210

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.