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Record W4409903243 · doi:10.1212/wnl.0000000000213641

Effect of Thrombolytics on Delayed Reperfusion After Incomplete Thrombectomy

2025· article· en· W4409903243 on OpenAlexaff
Adnan Mujanović, Vignan Yogendrakumar, Felix Ng, Thomas Gattringer, Bettina L. Serrallach, Thomas R. Meinel, Leonid Churilov, Oliver Nistl, Shaokai Zheng, Peter Mitchell, Nawaf Yassi, Mark Parsons, Gagan Sharma, Hannes Deutschmann, Geoffrey A. Donnan, Marcel Arnold, Fabiano Cavalcante, Eike I. Piechowiak, Timothy Kleinig, David Seiffge, Stephen M. Davis, Tomas Dobrocky, Jan Gralla, Markus Kneihsl, Urs Fischer, Bruce Campbell, Johannes Kaesmacher

Bibliographic record

VenueNeurology · 2025
Typearticle
Languageen
FieldMedicine
TopicAcute Ischemic Stroke Management
Canadian institutionsOttawa HospitalUniversity of Ottawa
FundersMedical Research CouncilSchweizerische Akademie der Medizinischen WissenschaftenSchweizerische HerzstiftungSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungCSL BehringBiogenAlexion PharmaceuticalsStrykerPfizerNational Science Foundation
KeywordsMedicineThrombolysisAnesthesiaCardiologyInternal medicineMyocardial infarction

Abstract

fetched live from OpenAlex

BACKGROUND AND OBJECTIVES: More than half of the endovascularly treated ischemic stroke patients with incomplete reperfusion (expanded Thrombolysis in Cerebral Infarction [eTICI] <3) show delayed reperfusion (DR) on 24-hour perfusion imaging, which is associated with favorable clinical outcome. The effect of intravenous thrombolysis (IVT) on the rates of DR remains unclear. This study aimed to assess the treatment effect of IVT on the occurrence of DR. METHODS: Pooled data from 3 randomized controlled trials (EXTEND-IA and EXTEND-IA TNK parts 1 and 2) and 2 comprehensive stroke centers (University Hospitals Graz and Bern) were analyzed. Only patients with a final reperfusion score of eTICI 2a-2c and available perfusion imaging at follow-up of 24 ± 12 hours were included. The primary outcome was the presence of DR on 24-hour follow-up CT/MRI perfusion imaging, defined as the absence of any focal perfusion deficit on perfusion imaging, despite incomplete reperfusion on the final angiography series during thrombectomy. For the secondary analysis, we explored the association between the primary outcome (DR) and the time elapsed between start of IVT and the end of an intervention. To address confounding in observational data, we performed a target trial emulation. RESULTS: Of 832 included patients with eTICI 2a-2c (median age 74 years, 49% female), 511 (61%) had DR. There was an independent treatment effect of IVT on DR (standardized risk ratio [sRR] 1.1, 95% CI 1.0-1.3; standardized risk difference [sRD] 8.2%, 95% CI 0.2%-16.1%), after adjusting for age, sex, atrial fibrillation, number of device passes, collateral score, and eTICI. Among those patients who have received IVT (n = 524/832, 63%), when adjusting for the aforementioned covariates, there was a causal effect of shorter time between administration of thrombolytics and end of the intervention on DR (sRR 0.93%, 95% CI 0.87-0.98; sRD -5.2%; 95% CI -9.1% to -1.3%, per hour increase). DISCUSSION: Exposure to thrombolytics showed independent treatment effect on the occurrence of DR among patients with incomplete reperfusion after thrombectomy who undergo perfusion imaging at the 24-hour follow-up. The effect of thrombolytics on DR was observed if there was a high chance of therapeutic concentrations of thrombolytics at the time point when the proximal vessel was recanalized, but distal occlusions persisted and/or occurred. CLASSIFICATION OF EVIDENCE: This study is rated Class III because it is a nonrandomized study and there are substantial differences in baseline characteristics of the treatment groups.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.016
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.006
GPT teacher head0.275
Teacher spread0.269 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2025
Admission routes1
Has abstractyes

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