Evidence map›Paper›PMID 40394465›Full record

Observational studyBMC cardiovascular disorders2025

Role of heavy sweating for ST-segment elevation myocardial infarction: analysis of the China Acute Myocardial Infarction registry.

Chao Wu, Zilong Zhang, Shuhong Su, Haiyan Xu, Lei Song, Yongjian Wu, Shubin Qiao, Yang Wang, Wei Li, Yida Tang and 4 more

Registry-linked trialAbstract readMulticenter StudyObservational Study
In one paragraph

Observational study in BMC cardiovascular disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01874691 (China Acute Myocardial Infarction Registry), which is not on this 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.

NCT01874691 completednot on this map

China Acute Myocardial Infarction Registry

Typeobservational_patient_registrySponsorChinese Academy of Medical Sciences, Fuwai HospitalRan2013 to 2016Enrolled20,000ConditionsAcute Myocardial Infarction
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

14 authors.

Chao WuDepartment of Cardiology and Institute of Vascular Medicine, Peking University Third Hospital, Beijing, 100191, China.
Zilong ZhangMedical Research & Biometrics Center, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Beijing, China.
Shuhong SuDepartment of Cardiology, Xinxiang Central Hospital, Xinxiang, Henan Province, China.
Haiyan XuCoronary Heart Disease Center, Department of Cardiology, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, No.167 North Lishi Road, Xicheng District, Beijing, China.
Lei SongCoronary Heart Disease Center, Department of Cardiology, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, No.167 North Lishi Road, Xicheng District, Beijing, China.
Yongjian WuCoronary Heart Disease Center, Department of Cardiology, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, No.167 North Lishi Road, Xicheng District, Beijing, China.
Shubin QiaoCoronary Heart Disease Center, Department of Cardiology, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, No.167 North Lishi Road, Xicheng District, Beijing, China.
Yang WangMedical Research & Biometrics Center, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Beijing, China.
Wei LiMedical Research & Biometrics Center, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Beijing, China.
Yida TangDepartment of Cardiology and Institute of Vascular Medicine, Peking University Third Hospital, Beijing, 100191, China.
Xiaojin GaoCoronary Heart Disease Center, Department of Cardiology, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, No.167 North Lishi Road, Xicheng District, Beijing, China. sophie_gao@sina.com.
Jingang YangCoronary Heart Disease Center, Department of Cardiology, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, No.167 North Lishi Road, Xicheng District, Beijing, China. jingangyang@126.com.
Yuejin YangCoronary Heart Disease Center, Department of Cardiology, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, No.167 North Lishi Road, Xicheng District, Beijing, China.
China Acute Myocardial Infarction Registry Study Group

Funding

National High Level Hospital Clinical Research Funding 2024-GSP-GG-4Twelfth Five-Year Planning Project of the Scientific and Technological Department of China 2011BAI11B02
6 · The paper itself

Abstract

backgroundSweating in individuals with suspected cardiac chest pain indicates a greater risk of experiencing ST-segment elevation myocardial infarction (STEMI). Nevertheless, the relationship between sweating and clinical outcomes remains inadequately explored.

methodsFrom 2013 through 2016, 19112 patients with STEMI enrolled in the China Acute Myocardial Infarction registry. Heavy sweating was evaluated on admission and usually judged by dampen clothing. Thrombolysis in Myocardial Infarction (TIMI) flow and ST-segment resolution (STR) were used to evaluated the myocardial reperfusion after primary percutaneous myocardial infarction (PCI). The primary outcome was all-cause death during hospitalization and at 24 months.

resultsThirteen thousand, four hundred twenty-two patients (70.2%) presented heavy sweating, that was associated with age < 65 years, severe chest pain, current smoking status, and heart rates < 100 bpm on admission. Heavy sweating group was more likely to achieve primary PCI (44.7% vs 32.9%) but shown similar rates of post-PCI TIMI 3 flow (95.5% vs 94.1%) and STR ≥ 50% (79.8% vs 78.2%). After multivariable analysis, heavy sweating was significantly linked to lower in-hospital (5.9% vs 8.6%, odds ratio [OR]: 0.81, 95% confidence interval [CI]: 0.72-0.92) and 24-month mortality (11.0% vs 17.2%, hazard ratio [HR]: 0.75, 95% CI: 0.69-0.82). Even among patients undergoing primary PCI who achieved successful myocardial reperfusion, this short- (2.5% vs 4.2%, OR: 0.60, 95% CI: 0.45-0.80) and long-term (5.9% vs 8.7%, HR: 0.68, 95% CI: 0.56-0.83) prognostic significance remained robust.

conclusionsFor STEMI, the presence of heavy sweating was associated with lower mortality regardless of successful primary PCI, which highlight the potential for early risk stratification based on the sweating presentation.

trial registrationhttps//www. CLINICALTRIALS: gov. Unique identifier: NCT01874691. Registered 11/06/2013.

Indexed as

HyperhidrosisPercutaneous Coronary InterventionRegistriesST Elevation Myocardial InfarctionAgedChinaFemaleHospital MortalityHumansMaleMiddle AgedRisk AssessmentRisk FactorsSweatingTime FactorsTreatment OutcomeMyocardial infarctionOutcomeSweatingSymptom

Identifiers

PMID40394465
PMCPMC12093881

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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.