Evidence map›Paper›PMID 42815357›Full record

ArticleClinics (Sao Paulo, Brazil)2026

Impact of Wechat-based prehospital data transmission on reperfusion times in ST-elevation myocardial infarction: a prospective observational study.

Shangchen Li, Haibo Wu, Ying Wang, Yanqing Wang, Yuyang Xiao, Dan Yang, Dongxia Liu

Abstract read
In one paragraph

Article in Clinics (Sao Paulo, Brazil), 2026. 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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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Shangchen LiSchool of Graduate, Hebei Medical University, Hebei General Hospital, Shijiazhuang, Hebei Province, PR China.
Haibo WuDepartment of Cardiology, Hebei General hospital, Shijiazhuang, Hebei Province, PR China.
Ying WangDepartment of Cardiology, Hebei General hospital, Shijiazhuang, Hebei Province, PR China.
Yanqing WangDepartment of Cardiology, Hebei General hospital, Shijiazhuang, Hebei Province, PR China.
Yuyang XiaoDepartment of Cardiology, Hebei General hospital, Shijiazhuang, Hebei Province, PR China.
Dan YangDepartment of Clinical Laboratory, Hebei General Hospital, Shijiazhuang, Hebei Province, PR China.
Dongxia LiuSchool of Graduate, Hebei Medical University, Hebei General Hospital, Shijiazhuang, Hebei Province, PR China; Department of Cardiology, Hebei General hospital, Shijiazhuang, Hebei Province, PR China. Electronic address: srmldx2025@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesEarly diagnosis of acute ST-segment Elevation Myocardial Infarction (STEMI) is important for the treatment of patients. A Class I evidence demonstrates that every 30-minute delay in PCI is linked to a 7.5% relative increase in 1-year mortality

methods409 eligible STEMI patients (May 2022-November 2024) were grouped by WeChat-based transmission use: 96 in the observation group and 313 in the control group. Baseline data, medical history, and key times (S-to-FMC, d-to-B, TIT) were compared. Factors influencing WeChat-based transmission use were analyzed via SPSS 22.0 (p < 0.05 significant).

results96 (23.4%) patients in the WeChat-based transmission group and 313 (76.6%) patients in the N-WeChat group were enrolled. S‑to‑FMC time was associated with lower median values in the WeChat‑based transmission group (median 75 vs. 120 minutes, p < 0.05); similar patterns were seen for D‑to‑B time (50 vs. 67 minutes, p < 0.05) and total ischemia time (121.5 vs. 150.0 minutes, p < 0.05). Shorter time to Acute Myocardial Infarction (AMI) diagnosis, as well as shorter D‑to‑B and TIT times, were observed among patients in the WeChat‑based transmission group relative to patients in the non‑WeChat‑based transmission group.

conclusionWeChat-based transmission was associated with shorter S-to-FMC, d-to-B, and TIT times during patient transfer for PCI. However, it is not fully used for transporting chest pain patients in and around Shijiazhuang City. Therefore, strengthening WeChat-based transmission function in public education of pre-hospital rescue remains the focus of our future work.

Indexed as

Acute ST-segment elevation myocardial infarctionDigital healthEmergency medical servicesPrehospital delayWeChat-based transmission

Identifiers

PMID42815357
PMCPMC13657172

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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.