Evidence map›Paper›PMID 39262795›Full record

ArticleiScience2024

A multicenter prospective study on the ESC algorithm for the early diagnosis of non-ST-elevation myocardial infarction.

Yahui Lin, Hong Zhan, Shukui Wang, Guozheng Zhang, Zi Ye, Caidong Liu, Dong Wang, Dongfang Gao, Qing Yang, Zebin Gong and 7 more

Abstract read
In one paragraph

Article in iScience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the 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.

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

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

17 authors.

Yahui LinCenter of Laboratory Medicine, National Clinical Research Center of Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, China.
Hong ZhanDepartment of Emergency, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Shukui WangDepartment of Laboratory Medicine, Nanjing First Hospital, Nanjing Medical University, Nanjing, China.
Guozheng ZhangEmergency Department, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, China.
Zi YeDepartment of Emergency, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Caidong LiuDepartment of Laboratory Medicine, Nanjing First Hospital, Nanjing Medical University, Nanjing, China.
Dong WangDepartment of Laboratory Medicine, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.
Dongfang GaoEmergency Department, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, China.
Qing YangEmergency Department, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, China.
Zebin GongEmergency Department, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, China.
Guangxun FengEmergency Department, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, China.
Min LiuDepartment of Laboratory Medicine, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.
Wenke LiEmergency Department, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, China.
Yanmin YangEmergency Department, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, China.
Jun ZhuEmergency Department, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, China.
Zhou ZhouCenter of Laboratory Medicine, National Clinical Research Center of Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, China.
Yan LiangEmergency Department, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to determine the optimal high-sensitivity cardiac troponin I (hs-cTnI)-based algorithm for early diagnosis of non-ST-elevation myocardial infarction (NSTEMI) in Chinese patients. We prospectively enrolled 1,606 patients with suspected NSTEMI from three emergency departments across China, collecting blood samples at 0, 1, and 3 h post-admission. Patients were classified using the 0/1-h and 0/3-h algorithms. The 2015 and 2020 ESC 0/1-h algorithms rapidly triaged 70% of patients with high negative predictive value (NPV) (99.7%) and sensitivity (99.5%). The 0/3-h algorithm showed higher specificity (93.8%) but lower NPV (96.8%) and sensitivity (91.2%). An optimized 0/1-h algorithm improved specificity to 92.1% while maintaining high NPV (99.7%) and sensitivity (99.2%). Low 30-day and 180-day all-cause mortality and major adverse cardiac event (MACE) rates were observed in rule-out groups for all algorithms. The ESC 0/1-h algorithm is a safe and efficient triage method for patients with suspected NSTEMI, with optimization further enhancing specificity and efficiency for the Chinese population.

Indexed as

BioinformaticsCardiovascular medicine

Identifiers

PMID39262795
PMCPMC11388160

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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.