Evidence map›Paper›PMID 42813025›Full record

ReviewFrontiers in neurology2026

CT perfusion-guided thrombolysis in the extended window: from trial eligibility to individualized patient selection.

Qing Hao, Dylan Ryan, Salman Ikramuddin

Abstract readReview
In one paragraph

Review in Frontiers in neurology, 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

3 authors.

Qing HaoDepartment of Neurology, Duke University School of Medicine, Durham, NC, United States.
Dylan RyanDepartment of Neurology, Duke University School of Medicine, Durham, NC, United States.
Salman IkramuddinDepartment of Neurology, Duke University School of Medicine, Durham, NC, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent randomized controlled trials (RCTs) have expanded the role of intravenous thrombolysis (IVT) into the extended time window (beyond 4.5 h) using CT perfusion (CTP)-based patient selection. Following the inclusion of extended-window thrombolysis into the most recent edition of the American Heart Association Acute Ischemic Stroke Guidelines in 2026, these recently completed studies, EXTEND, HOPE, TRACE III, and OPTION, collectively must now inform the rapid clinical implementation of this treatment as we enter an age of precision medicine in the management of acute stroke. This mini-review seeks to address three core implementation challenges for patient selection when considering extended-window thrombolysis: (1) efforts to establish clinical pathways for patient selection should consider the phenotype of patients enrolled in extended-window thrombolysis RCTs in addition to enrollment criteria, (2) assessments of the safety of extended-window thrombolysis based on the best available evidence are reassuring, and (3) promising results from extended-window thrombolysis trials for distal and medium vessel occlusion (DMeVO) stroke patients, in concert with recent neutral endovascular therapy (EVT) trials for treating DMeVO stroke, have carved out a distinct role for IVT in this patient population. Herein, we aim to leverage the best available evidence to address these critical questions that vascular neurologists face as we work toward the clinical implementation of this trial evidence.

Indexed as

Fibrinolytic AgentsIschemic StrokePatient SelectionPerfusion ImagingPrecision MedicineStrokeThrombolytic TherapyTomography, X-Ray ComputedHumansRandomized Controlled Trials as TopicFibrinolytic Agentsextended windowimplemenationstrokethrombolysis (for acute ischaemic stroke)TNK

Identifiers

PMID42813025
PMCPMC13621568

What OpenQuestion holds

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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.