Evidence map›Paper›PMID 36329593›Full record

ArticleNan fang yi ke da xue xue bao = Journal of Southern Medical University2022

[Application of wearable 12-lead electrocardiogram devices in pre-hospital diagnosis of acute ST segment elevation myocardial infarction].

J Shen, T Chen, J Lai, W Yang, J Xiu, B Han, Y Shi, Y Chen, J Guo

Open access · greenAbstract readEnglish Abstract
In one paragraph

Article in Nan fang yi ke da xue xue bao = Journal of Southern Medical University, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

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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

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 1 institution in 1 country.

J ShenDepartment of Cardiology, Sixth Medical Center of Chinese PLA General Hospital, Beijing 100048, China.
T ChenDepartment of Cardiology, Sixth Medical Center of Chinese PLA General Hospital, Beijing 100048, China.
J LaiSouthern Medical University, Guangzhou 510515, China.
W YangSouthern Medical University, Guangzhou 510515, China.
J XiuSouthern Medical University, Guangzhou 510515, China.
B HanDepartment of Cardiology, Sixth Medical Center of Chinese PLA General Hospital, Beijing 100048, China.
Y ShiDepartment of Cardiology, Sixth Medical Center of Chinese PLA General Hospital, Beijing 100048, China.
Y ChenDepartment of Cardiology, Sixth Medical Center of Chinese PLA General Hospital, Beijing 100048, China.
J GuoDepartment of Cardiology, Sixth Medical Center of Chinese PLA General Hospital, Beijing 100048, China.
Southern Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo assess the value of wearable 12-lead electrocardiogram (ECG) devices in pre-hospital diagnosis of acute ST segment elevation myocardial infarction (STEMI).

methodsThis analysis was conducted among 441 patients selected from the''National ECG Network'', who used wearable 12-lead ECG device with critical situation warning of ST change between January 2019, and August, 2021.The general characteristics, response time and complaints of the patients with STEMI were analyzed.The accuracy of pre-hospital diagnosis of STEMI was compared between clinician's interpretation of ECGs and AI diagnosis by the wearable ECG device.

resultsIn 89 of the patients, a pre-hospital diagnosis of STEMI was made by physicians based on ECGs from the wearable devices, and 58 of them sought medical attention after online warning, with a referral rate of 65.17%.The average time for diagnostic assessment of the ECGs was 153.02 s, and the average time for confirmation of the diagnosis was 178.06 s.The sensitivity for pre-hospital diagnosis of STEMI by clinician's interpretation of the ECGs and by AI diagnosis was 100% and 88.37%, respectively, with a specificity of 95.40% and 79.31%, respectively.The pre-hospital diagnosis by clinicians and AI diagnosis of STEMI both showed a high consistency with the subsequent definite clinical diagnosis of STEMI.

conclusionWearable 12-lead ECG devices can accurately record ECG characteristics of STEMI patients outside the hospital and allow immediate data uploading for an early diagnosis.The diagnoses of STEMI made based on AI technology are highly consistent with those by clinicians, demonstrating excellent clinical performance of the wearable ECG devices.

Indexed as

ST Elevation Myocardial InfarctionWearable Electronic DevicesArrhythmias, CardiacElectrocardiographyHospitalsHumans12-lead ECG wearable devicessensitivityspecificityST segment elevation myocardial infarction

Identifiers

PMID36329593
PMCPMC9637491
OpenAlexW4308367061

What OpenQuestion holds

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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.