Evidence map›Paper›PMID 40895227›Full record

ArticleBrain communications2025

Large-scale network topography of stroke predicts functional outcome after mechanical thrombectomy.

Antonio Luigi Bisogno, Lorenzo Pini, Sofia Raccanello, Giorgia Adamo, Joseph Domenico Gabrieli, Alessandro Salvalaggio, Anna Maria Basile, Claudio Baracchini, Maurizio Corbetta

Abstract read
In one paragraph

Article in Brain communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

9 authors.

Antonio Luigi BisognoDepartment of Neuroscience, Università di Padova, Padova 35128, Veneto, Italy.ORCID https://orcid.org/0000-0003-0587-6709
Lorenzo PiniDepartment of Neuroscience, Università di Padova, Padova 35128, Veneto, Italy.
Sofia RaccanelloDepartment of Neuroscience, Università di Padova, Padova 35128, Veneto, Italy.
Giorgia AdamoDepartment of Neuroscience, Università di Padova, Padova 35128, Veneto, Italy.
Joseph Domenico GabrieliDepartment of Neuroscience, Università di Padova, Padova 35128, Veneto, Italy.
Alessandro SalvalaggioDepartment of Neuroscience, Università di Padova, Padova 35128, Veneto, Italy.
Anna Maria BasileAzienda Ospedaliera Università di Padova, Padova 35128, Veneto, Italy.
Claudio BaracchiniDepartment of Neuroscience, Università di Padova, Padova 35128, Veneto, Italy.
Maurizio CorbettaDepartment of Neuroscience, Università di Padova, Padova 35128, Veneto, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mechanical thrombectomy effectively restores blood flow in patients with acute ischaemic stroke caused by large vessel occlusion. While mechanical thrombectomy has improved functional outcomes, 35%-60% of patients still experience residual disabilities. Typically, patients are selected for mechanical thrombectomy based on degree of hypoperfusion around the core measured on a vascular atlas. This study had two aims: (i) to evaluate the prognostic value of lesion topography onto functional outcome at 3 months post-mechanical thrombectomy, when the lesion is localized either onto a vascular atlas or large-scale, functional or structural, network atlases; and (2) to examine patterns of post-stroke structural and functional disconnection significantly related to the most common stroke functional outcome scale, i.e. the modified Rankin scale at 3 months post-event. A retrospective analysis was conducted on 70 acute stroke patients who underwent mechanical thrombectomy at the Padua University Hospital (January 2018-June 2022). Inclusion criteria involved first ever ischaemic strokes with anterior circulation large vessel occlusion. Imaging data from sub-acute structural MRI and CT scans were used to estimate indirect structural and functional disconnections. Outcome measures included the modified Rankin Scale at 3 months, with prediction analysis performed using Lasso regression across vascular, grey matter and white matter atlases. Three-month modified Rankin Scale was best predicted using Yeo's functional atlas (

Indexed as

neural networksrecoverystrokethrombectomy

Identifiers

PMID40895227
PMCPMC12391757

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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.