Evidence map›Paper›PMID 42467333›Full record

ArticleGeroScience2026

Changes in collateral status during transfer for thrombectomy are predictive of functional outcome in large vessel occlusion stroke.

Máté Pásztor, Esra Zhubi, Alistair Perry, István Szikora, Balázs Kis, Davide Carone, George Harston, Dániel Bereczki, Tímea Takács, Norbert Szegedi and 9 more

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In one paragraph

Article in GeroScience, 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

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

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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

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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

19 authors.

Máté Pásztor *Department of Neurointervention, Center of Neurosurgery and Neurointervention, Semmelweis University, Budapest, Hungary.
Esra Zhubi *Department of Neurology, Semmelweis University, Balassa Utca 6, 1083, Budapest, Hungary.
Alistair PerryBrainomix, Oxford, UK.
István SzikoraDepartment of Neurointervention, Center of Neurosurgery and Neurointervention, Semmelweis University, Budapest, Hungary.
Balázs KisMedical Imaging Clinic - Radiology, University of Debrecen Clinical Centre, Debrecen, Hungary.
Davide CaroneBrainomix, Oxford, UK.
George HarstonBrainomix, Oxford, UK.
Dániel BereczkiDepartment of Neurology, Semmelweis University, Balassa Utca 6, 1083, Budapest, Hungary.
Tímea TakácsDepartment of Neurology, Semmelweis University, Balassa Utca 6, 1083, Budapest, Hungary.
Norbert SzegediDepartment of Neurology, Medical Centre, Hungarian Defence Forces, Budapest, Hungary.
Csilla RózsaDepartment of Neurology, Jahn Ferenc Dél-Pesti Hospital, Budapest, Hungary.
Ildikó VastaghDepartment of Neurology, Bajcsy-Zsilinszky Hospital and Outpatient Clinic of Budapest, Budapest, Hungary.
Katalin BihariDepartment of Neurology and Stroke, Bács-Kiskun County Teaching Hospital, Kecskemét, Hungary.
Gyula PánczélDepartment of Neurology and Stroke, Pest County Ferenc Flór Hospital, Kistarcsa, Hungary.
Pál László SalaczDepartment of Neurology, Péterfy Sándor Utcai Hospital-Clinic and Trauma Centre, Budapest, Hungary.
Levente KerényiDepartment of Neurology, Fejér County Szent György Teaching Hospital, Székesfehérvár, Hungary.
Zoltán SzuperaDepartment of Neurology and Stroke, South-Buda Central Hospital, Szent Imre Teaching Hospital, Budapest, Hungary.
Sándor Nardai *Department of Neurointervention, Center of Neurosurgery and Neurointervention, Semmelweis University, Budapest, Hungary.
Bence Gunda *Department of Neurology, Semmelweis University, Balassa Utca 6, 1083, Budapest, Hungary. bence.gunda@gmail.com.ORCID http://orcid.org/0000-0003-2481-321X

Funding

National Research, Development and Innovation Office PD137565
6 · The paper itself

Abstract

Collateral circulation that determines infarct progression in large vessel occlusion (LVO) is implicitly regarded as stationary. We investigated collateral circulation changes during interfacility transfer for endovascular thrombectomy (EVT) and its association with functional outcome in anterior circulation LVO stroke. Seventy consecutive patients with middle cerebral artery occlusion transferred for EVT from January 2017 to December 2018 within a regional stroke network underwent repeated CTA at the comprehensive center allowing longitudinal assessment of collateral status, quantified by the Tan score, and AI-derived collateral percentage. Demographics, NIHSS, intravenous thrombolysis, blood pressure, stroke-to-reperfusion time, recanalization status, and 90-day mRS were recorded. Ordinal logistic regression was used to identify predictors of outcome. Collateral status was dynamic rather than stationary, with changes observed in 51/70 (73%) patients (median = -3.69% (IQR =  - 22.28-4.83)). Collateral change emerged as a significant independent predictor of 90-day functional outcome (OR = 0.98, p = 0.008), with patients showing improvement in collaterals having better outcomes. Additionally, older age (OR = 1.04, p = 0.030), higher baseline NIHSS (OR = 1.20, p = 0.001), and longer stroke-to-reperfusion time (OR = 1.01, p = 0.014) were each significantly associated with worse 90-day functional outcome. Patients with improved/stable collaterals had significantly better 90-day functional outcomes compared to decliners (median mRS 2[IQR 0-4] vs. 4 [1.25-6], p = 0.008). Collateral status is not stationary during a stroke event, and its improvement independently predicts good functional outcome, highlighting the importance of therapeutic efforts to improve collateral circulation.

Indexed as

Artificial intelligenceCollateral circulationEndovascular treatmentFunctional outcomeImage analysisLarge vessel occlusion

Identifiers

PMID42467333

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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.