Evidence map›Paper›PMID 40842448›Full record

ReviewBrain circulation

A narrative review of reperfusion therapy in acute ischemic stroke: Emerging advances, current challenges, and future directions.

Qiuting Wang, Na Liu, Leticia Simo, Qingfeng Ma, Chuanhui Li

Abstract readReview
In one paragraph

Review in Brain circulation. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

5 authors.

Qiuting Wang *Department of Neurology, Xuanwu Hospital Capital Medical University, Beijing, China.
Na Liu *Department of Neurology, Xuanwu Hospital Capital Medical University, Beijing, China.
Leticia SimoDepartment of Neurosurgery, Wayne State University School of Medicine, Detroit, Michigan, USA.
Qingfeng MaDepartment of Neurology, Xuanwu Hospital Capital Medical University, Beijing, China.
Chuanhui LiDepartment of Neurology, Xuanwu Hospital Capital Medical University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Significant advancements over the past decade have transformed reperfusion therapy for acute ischemic stroke. Standard treatments, including intravenous thrombolysis (IVT) and endovascular thrombectomy (EVT), offer distinct benefits, with recent innovations expanding their efficacy and applicability. IVT, previously limited by a narrow therapeutic window, has seen enhancement with alternative agents such as tenecteplase, which may deliver comparable or superior outcomes to alteplase in selected cases. Expanding indications for EVT, particularly for large vessel occlusions and in extended time windows, have demonstrated promising results, underscoring its effectiveness beyond conventional time constraints. Recent trials further support the use of EVT for patients with large infarct cores in the anterior circulations, although mortality outcomes remain sensitive to treatment timing. In addition, mobile stroke units (MSUs) and prehospital management strategies have emerged as critical components for minimizing delays and improving clinical outcomes. Future research should focus on optimizing reperfusion therapies to individual patient profiles, investigating neuroprotective adjuncts, and expanding the global availability of MSUs to facilitate timely, accessible stroke care.

Indexed as

Acute ischemic strokeendovascular thrombectomyintravenous thrombolysisneuroprotective adjuncts

Identifiers

PMID40842448
PMCPMC12367269

What OpenQuestion holds

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LicenceCC BY-NC-SA
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.