Evidence map›Paper›PMID 41554593›Full record

ArticleZhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences2026

[Efficacy and safety of intravenous thrombolysis in patients with mild acute ischemic stroke].

Xiaorong Li, Xuting Zhang, Anni Wang, Tinghuan Wang, Yi Yan, Jingjing Fu, Jing Zheng, Min Lou, Jin Hu

Abstract readEnglish Abstract
In one paragraph

Article in Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Xiaorong LiDepartment of Neurology, Affiliated Yueqing Hospital, Wenzhou Medical University, Wenzhou 325600, Zhejiang Province, China. 94698454@qq.com.
Xuting ZhangDepartment of Neurology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, China. rachel305@126.com.
Anni WangDepartment of Neurology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, China.
Tinghuan WangDepartment of Neurology, Jiashan First People's Hospital, Jiaxing 314199, Zhejiang Province, China.
Yi YanDepartment of Neurology, Ningbo Zhenhai People's Hospital, Ningbo 315200, Zhejiang Province, China.
Jingjing FuDepartment of Neurology, the Fourth Affiliated Hospital, Zhejiang University School of Medicine, Yiwu 322000, Zhejiang Province, China.
Jing ZhengDepartment of Neurology, Affiliated Yueqing Hospital, Wenzhou Medical University, Wenzhou 325600, Zhejiang Province, China.
Min LouDepartment of Neurology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, China.
Jin HuDepartment of Neurology, Affiliated Hospital of Jiaxing University, Jiaxing 314001, Zhejiang Province, China. 184381954@qq.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo evaluate the efficacy and safety of intravenous thrombolysis in patients with mild acute ischemic stroke (AIS).

methodsIn this retrospective cohort study, adult patients with mild AIS within 4.5 hours of onset between July 2009 and December 2024 were enrolled from four hospitals in Zhejiang province. Mild AIS was defined as a National Institutes of Health Stroke Scale (NIHSS) score ≤5, with a limb motor NIHSS score of 0, and a NIHSS score ≥2 in any of the following items: gaze, visual fields, facial palsy, limb ataxia, sensation, language, dysarthria, or neglect. Logistic regression and general linear models were used to assess the impact of intravenous thrombolysis on 3-month functional outcomes and safety endpoints.

resultsAmong 347 enrolled patients, 206 (59.4%) received intravenous thrombolysis. The proportion of patients achieving a favorable functional outcome (modified Rankin Scale score 0-1) at 3 months was significantly higher in the thrombolysis group than that in the non-thrombolysis group (76.2%

conclusionsIntravenous thrombolysis can significantly improve 3-month functional outcomes and reduce mortality in patients with mild AIS, without increasing the risk of hemorrhagic transformation.

Indexed as

Fibrinolytic AgentsIschemic StrokeThrombolytic TherapyAgedBrain IschemiaFemaleHumansMaleMiddle AgedRetrospective StudiesTreatment OutcomeFibrinolytic AgentsAcute ischemic strokeClinical outcomesIntravenous thrombolysisMild strokeRetrospective studySafety

Identifiers

PMID41554593
PMCPMC12980117

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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.