Evidence map›Paper›PMID 42698446›Full record

ArticleFrontiers in stroke2026

CFAST: a simplified and culturally adapted stroke education tool for Chinese communities.

Haroon Khan, Yang Wang, Jing Chen, Xiao-Bing Xie, Wei Xu, Meng Li, Dong-Ling Huang, Jiannan Xiao, Chuan-Cheng Ren

Abstract read
In one paragraph

Article in Frontiers in stroke, 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

9 authors.

Haroon Khan *Department of Neurology, The Second Affiliated Hospital, School of Medicine, The Chinese University of Hong Kong, Shenzhen & Longgang District People's Hospital of Shenzhen, Shenzhen, Guangdong, China.
Yang Wang *Department of Neurology, The Second Affiliated Hospital, School of Medicine, The Chinese University of Hong Kong, Shenzhen & Longgang District People's Hospital of Shenzhen, Shenzhen, Guangdong, China.
Jing Chen *Department of Neurology, Zhongshan Hospital, Affiliated to Fudan University, Shanghai, China.
Xiao-Bing Xie *Department of Neurology, The Second Affiliated Hospital, School of Medicine, The Chinese University of Hong Kong, Shenzhen & Longgang District People's Hospital of Shenzhen, Shenzhen, Guangdong, China.
Wei XuDepartment of Neurology, Dongfang Hospital, Affiliated to Tongji University, Shanghai, China.
Meng LiDepartment of Neurology, The Second Affiliated Hospital, School of Medicine, The Chinese University of Hong Kong, Shenzhen & Longgang District People's Hospital of Shenzhen, Shenzhen, Guangdong, China.
Dong-Ling HuangDepartment of Neurology, The Second Affiliated Hospital, School of Medicine, The Chinese University of Hong Kong, Shenzhen & Longgang District People's Hospital of Shenzhen, Shenzhen, Guangdong, China.
Jiannan XiaoDepartment of Neurology, The Second Affiliated Hospital, School of Medicine, The Chinese University of Hong Kong, Shenzhen & Longgang District People's Hospital of Shenzhen, Shenzhen, Guangdong, China.
Chuan-Cheng RenDepartment of Neurology, The Second Affiliated Hospital, School of Medicine, The Chinese University of Hong Kong, Shenzhen & Longgang District People's Hospital of Shenzhen, Shenzhen, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background/objectives: Rapid recognition of stroke symptoms in Chinese populations is poor, and improving the timely and reliable identification of patients could significantly expedite the administration of stroke therapy. This study aimed to develop and evaluate CFAST ("Zhongfeng, shuo-xiao-dong" meaning "stroke, speech, smile, move"), compare its learning efficiency, comprehension, and 1-h recall with Stroke-120, and validate its performance in a larger pragmatic cohort. Methods: Phase 1 involved a comparison of standardized community sessions using CFAST ( Results: In Phase 1, all CFAST-trained participants (192/192; 100%) mastered the mnemonic within 5 min, compared to 3.65% (7/192) in the Stroke-120 group after a 30-min training ( Conclusion: The newly developed CFAST mnemonic achieved superior short-term comprehension and recall compared with Stroke-120 and demonstrated scalability across communities. Our findings support its feasibility for public stroke education in Chinese populations.

Indexed as

community educationemergency medical serviceFASThealth literacystroke

Identifiers

PMID42698446
PMCPMC13541502

What OpenQuestion holds

Textmetadata
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.