Evidence map›Paper›PMID 41942671›Full record

ArticleScientific reports2026

Status of emergency medical service use for acute ischemic stroke in China.

Wenwei Qi, Ying Su, Jiarui Wu, Xin Shi, Xiaohong Wu, Feng Chi, Runyu Xia, Limin Qin, Liming Cao, Yan Yang and 11 more

Abstract readMulticenter Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2026. 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. Article
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

21 authors.

Wenwei QiNational Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, Beijing, China.
Ying SuDepartment of Neurology, The People's Hospital of Gaoming District of Foshan City, Foshan, China.
Jiarui WuSchool of Medicine, Shenzhen University, Shenzhen, China.
Xin ShiSchool of Health Management Institute of Health Sciences, China Medical University, Shenyang, China.
Xiaohong WuDepartment of Neurology, The First Affiliated Hospital of Shenzhen University, 3002 Sungang West Road, 518000, China, Futian, Shenzhen.
Feng ChiDepartment of Neurology, The First Affiliated Hospital of Shenzhen University, 3002 Sungang West Road, 518000, China, Futian, Shenzhen.
Runyu XiaSchool of Medicine, Shenzhen University, Shenzhen, China.
Limin QinDepartment of Neurology, The First Affiliated Hospital of Shenzhen University, 3002 Sungang West Road, 518000, China, Futian, Shenzhen.
Liming CaoDepartment of Neurology, The First Affiliated Hospital of Shenzhen University, 3002 Sungang West Road, 518000, China, Futian, Shenzhen. caolm-2007@163.com.
Yan YangDepartment of Neurology, Fushun Central Hospital, Fushun, China.
Qin LiuDepartment of Neurology, The Second People's Hospital of Yibin, Yibin, China.
Xiaoxiang PengDepartment of Neurology, The Third People's Hospital of Hubei Province, Wuhan, China.
Guobing HuangDepartment of Neurology, Yichun People's Hospital, Yichun, China.
Jinyan ChenDepartment of Neurology, Beihai People's Hospital, Beihai, China.
Yidong XueDepartment of Neurology, Yanan University Affiliated Hospital, Yanan, China.
Wenbiao GuanDepartment of Neurology, The First Hospital of Baiyin City, Baiyin, China.
Dan GaoDepartment of Neurology, Chaoyang Central Hospital, Chaoyang , China.
Bin YeDepartment of Neurology, The Third People's Hospital of Bengbu, Bengbu, China.
Tianxia YuDepartment of Neurology, Yantaishan Hospital , Yantai, China.
Runxiu ZhuDepartment of Neurology, Inner Mongolia People's Hospital, Hohhot, China.
Lijie RenDepartment of Neurology, The First Affiliated Hospital of Shenzhen University, 3002 Sungang West Road, 518000, China, Futian, Shenzhen. renlijie72@126.com.

Funding

Open Project of Shenzhen Clinical Research Center for Neurological Diseases NO. SCRCND202503,and NO: LCYSSQ20220823091204009the Research and Promotion Project on Appropriate Intervention Techniques for High-Risk Stroke Population in China No. GN-2020R0002
6 · The paper itself

Abstract

The current status of emergency medical service (EMS) use among patients with acute ischemic stroke (AIS) in China is a concern. We aimed to understand the status of EMS use and influencing factors in patients with AIS in China. In this large-scale prospective multicenter hospital-based registry study, we evaluated the data of 10,856 patients with AIS admitted to 21 hospitals across different economic and geographic regions in China in 2022. The primary outcome was the proportion of patients arriving at the hospital via EMS. In patients with AIS who arrived independently and those who arrived via EMS, 79.9% and 47.1%, respectively, had an onset-to-door time > 3 h; 16.0% and 40.6%, respectively, received intravenous thrombolysis; and 4.0% and 15.5%, respectively, underwent thrombectomy. Factors promoting EMS use included older age, residence in a small city, wake-up stroke, cardioembolic stroke, and National Institutes of Health Stroke Scale scores 5–15 and 16–42 after onset. Conversely, small-artery occlusion was associated with patients arriving to hospital independently. Hospital arrival via EMS significantly reduced prehospital delay and increased thrombolysis rate compared to arriving at the hospital independently. Improving public education regarding the advantages of using EMS is needed.

Indexed as

Emergency Medical ServicesIschemic StrokeAgedBrain IschemiaChinaFemaleHumansMaleMiddle AgedProspective StudiesRegistriesStrokeThrombectomyThrombolytic TherapyTime-to-TreatmentTreatment DelayEmergency medical servicesHospitalsIschemic strokeProspective studiesRegistriesThrombectomy

Identifiers

PMID41942671
PMCPMC13179360

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.