Evidence map›Paper›PMID 40487909›Full record

ReviewArchives of academic emergency medicine2025

Prehospital ECG Interpretation Methods for ST-Elevation MI Detection and Catheterization Laboratory Activation: A Systematic Review and Meta-Analysis.

Ahmad Alrawashdeh, Samar Ihtoub, Zaid I Alkhatib, Mahmoud Alwidyan, Yousef S Khader, Sukaina Rawashdeh, Saeed Alqahtani, Dion Stub, Rahaf Alhamouri, Islam E Alkhazali and 1 more

Abstract readReview
In one paragraph

Review in Archives of academic emergency medicine, 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. Review
  2. 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

11 authors.

Ahmad AlrawashdehDepartment of Allied Medical Sciences, Faculty of Applied Medical Sciences, Jordan University of Science and Technology, ‎Irbid, Jordan.
Samar IhtoubDepartment of Allied Medical Sciences, Faculty of Applied Medical Sciences, Jordan University of Science and Technology, ‎Irbid, Jordan.
Zaid I AlkhatibDepartment of Allied Medical Sciences, Faculty of Applied Medical Sciences, Jordan University of Science and Technology, ‎Irbid, Jordan.
Mahmoud AlwidyanDepartment of Allied Medical Sciences, Faculty of Applied Medical Sciences, Jordan University of Science and Technology, ‎Irbid, Jordan.
Yousef S KhaderDepartment of Public Health and Family Medicine, Faculty of Medicine, Jordan University of Science ‎and Technology, ‎Irbid, Jordan‎.
Sukaina RawashdehDepartment of Internal Medicine, Faculty of Medicine, Jordan University of Science ‎and Technology, ‎Irbid, Jordan‎.
Saeed AlqahtaniDepartment of Emergency Medical Services, Prince Sultan Military College for ‎Health ‎Sciences, Dhahran, Saudi Arabia‎.
Dion StubSchool of Public Health and Preventive Medicine, Centre of Cardiovascular Research. and Education in Therapeutics (CCRET), Monash University, Melbourne, Australia.
Rahaf AlhamouriDepartment of Health Data Analytics, Kernel Research and Data Analytics, ‎Irbid, Jordan.
Islam E AlkhazaliDepartment of Allied Medical Sciences, Faculty of Applied Medical Sciences, Al al-Bayt University, Mafraq, Jordan.
Ziad NehmeCentre for Research and Evaluation, Ambulance Victoria, Melbourne, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The diagnostic accuracies of different electrocardiography (ECG) interpretation methods remain unclear. Therefore, this study aimed to systematically evaluate and compare the diagnostic accuracy of prehospital 12-lead ECG interpretation methods for identifying ST-elevation myocardial infarction (STEMI) and activating cardiac catheterization laboratories (CCLs). Methods: A comprehensive search was conducted in Medline, Scopus, and CINAHL databases up to August 2024. Two reviewers independently selected studies that assessed the diagnostic accuracy of prehospital 12-lead ECG in real-time STEMI identification and CCL activation. Pooled estimates of sensitivity, specificity, diagnostic odds ratio (DOR), and area under the curve (AUC) were calculated using bivariate generalized mixed-effects regression models or random-effects meta-analysis as appropriate. The quality of the included studies was assessed using the QUADAS-2 tool. Results: Thirty-six studies involving 67,168 patients were included. Overall, for STEMI identification, the pooled AUC of ECG was 0.96 (95%CI:0.94-0.98), sensitivity was 80% (95% CI, 69-88%), specificity was 97% (95%CI: 94-98%), and DOR was 114 (95%CI: 59-222). Ambulance clinicians achieved the highest DOR (264; 95%CI: 33-2125), followed by transmission method (136; 95%CI, 59-312) and computer-assisted analysis (78; 95%CI: 33-186). Transmission method demonstrated superior specificity (‎0.98; 95%CI: 0.94-0.99‎) and the lowest rates of inappropriate (13.2%; 95% CI: ‎8.6%-19.2%), and false-positive (11.0%; 95%CI: 6.9%-15.0%) CCL activations. Conclusion: All prehospital ECG interpretation methods yielded acceptable diagnostic accuracy for STEMI identification; however, transmission offered the greatest specificity and fewer unnecessary CCL activations. Adopting transmission-based strategies, where feasible, and enhancing training and decision support for ambulance clinicians may improve prehospital STEMI detection and resource utilization.

Indexed as

12-lead ECGCardiac catheterizationDiagnostic techniques and proceduresEmergency medical servicesST-elevation myocardial infarction

Identifiers

PMID40487909
PMCPMC12145131

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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 OpenQuestion graph.