Evidence map›Paper›PMID 41446883›Full record

ArticleFrontiers in neurology2025

Early identification of stroke symptoms and risk factors using the BE FAST method: benefits of early intervention in high-risk populations.

Jiejin Zang, Qiulian Bai, Xianmei Xiong, Ping He, Jing Sun, Xiaowei Gong

Abstract read
In one paragraph

Article in Frontiers in neurology, 2025. 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. 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

6 authors.

Jiejin Zang *Department of Medical Nurse, Kunshan Jinxi People's Hospital, Kunshan, China.
Qiulian Bai *Department of Medical Nurse, Kunshan Jinxi People's Hospital, Kunshan, China.
Xianmei XiongDepartment of Medical Nurse, Kunshan Jinxi People's Hospital, Kunshan, China.
Ping HeDepartment of Medical Nurse, Kunshan Jinxi People's Hospital, Kunshan, China.
Jing SunDepartment of Medical Nurse, Kunshan Jinxi People's Hospital, Kunshan, China.
Xiaowei GongDepartment of Medical Nurse, Kunshan Jinxi People's Hospital, Kunshan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Timely recognition of stroke symptoms is essential for optimizing treatment and improving outcomes. The BE FAST (Balance, Eyes, Face, Arms, Speech, Time) mnemonic is a practical tool designed to enhance early identification of stroke in community and clinical settings. This study aimed to evaluate the clinical impact of implementing the BE FAST method in high-risk populations presenting with suspected acute stroke. Method: This retrospective cohort study included 433 patients who presented with acute stroke symptoms between January 2020 and December 2023. Patients were divided into two groups: those assessed using the BE FAST method ( Results: Patients in the BE FAST group had significantly shorter median time from symptom onset to hospital arrival (82 min vs. 141 min, Conclusion: The use of the BE FAST method significantly improves early stroke recognition, facilitates timely intervention, and is associated with better clinical outcomes in high-risk populations. Widespread implementation of this tool in both pre-hospital and clinical settings may enhance stroke care pathways and reduce disability and mortality.

Indexed as

BE FASTearly recognitionhigh-risk populationspre-hospital assessmentstroke

Identifiers

PMID41446883
PMCPMC12724434

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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.