Evidence map›Paper›PMID 42615006›Full record

ReviewArchives of academic emergency medicine2026

Diagnostic Accuracy of the ACT-FAST Tool for Prehospital Stroke Identification: A Systematic Review.

Mobina Yarahmadi, Mohammadhossein Vazirizadeh-Mahabadi, Pantea Gharin, Paniz Gharin, Arash Sarveazad, Nastaran Sadat Mahdavi, Mahmoud Yousefifard

Abstract readReview
In one paragraph

Review in Archives of academic emergency medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

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

7 authors.

Mobina YarahmadiEmergency Care Promotion Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Mohammadhossein Vazirizadeh-MahabadiPhysiology Research Center, Iran University of Medical Sciences, Tehran, Iran.
Pantea GharinPhysiology Research Center, Iran University of Medical Sciences, Tehran, Iran.
Paniz GharinPhysiology Research Center, Iran University of Medical Sciences, Tehran, Iran.
Arash SarveazadColorectal Research Center, Iran University of Medical Sciences, Tehran, Iran.
Nastaran Sadat MahdaviDepartment of Anesthesiology, Mofid Children's Hospital, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Mahmoud YousefifardPhysiology Research Center, Iran University of Medical Sciences, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Stroke is the second leading cause of death globally, resulting in 5.5 million deaths annually. The ACT-FAST is a simplified, rapid assessment tool aimed at improving the early detection of stroke and may outperform existing tools in identifying large vessel occlusions (LVOs). We aimed to assess the diagnostic accuracy of this tool in this systematic review. Methods: In this systematic review, we conducted a comprehensive search of Medline, Scopus, Web of Science, and Embase. Studies with incomplete data reporting or those focusing on other triage tools were excluded. Two independent reviewers screened titles, abstracts, and full texts, and extracted relevant data using a pre-designed checklist. Results: Our systematic review identified four studies on the ACT-FAST tool, all conducted primarily in Australia with a predominantly elderly patient population. Reported findings indicate that ACT-FAST has demonstrated generally high diagnostic performance, with retrospective analyses showing accuracies above 90%. Sensitivity varied across study designs, ranging from 63% to 100%, while specificity was consistently reported above 85%. Despite concerns regarding potential bias from non-random patient selection and incomplete reporting of symptom onset, the overall methodological quality was robust. Conclusion: The ACT-FAST algorithm demonstrates generally high, though variable, sensitivity and consistently high specificity, supporting its utility as a valuable tool for paramedics and clinicians in prehospital stroke management and for effectively identifying patients with LVO. This capability facilitates timely intervention, minimizes unnecessary transfers for patients without LVO, and optimizes resource allocation, ultimately improving patient outcomes in stroke care.

Indexed as

Arterial occlusive diseasesClinical decision rulesSystematic review

Identifiers

PMID42615006
PMCPMC13484918

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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.