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Record W7115726985 · doi:10.1136/bmjno-2025-001224

Efficacy of intravenous thrombolysis in treating cortical and lacunar strokes: analysis from the Qatar Stroke Registry in a multi-ethnic population

2025· article· en· W7115726985 on OpenAlexaff

Bibliographic record

VenueBMJ Neurology Open · 2025
Typearticle
Languageen
FieldMedicine
TopicAcute Ischemic Stroke Management
Canadian institutionsUniversity of ManitobaUniversity of Alberta
Fundersnot available
KeywordsThrombolysisStroke (engine)PopulationLacunar strokeFibrinolytic agentClinical trial

Abstract

fetched live from OpenAlex

Objective: Intravenous thrombolysis is an effective method in treating acute ischaemic stroke, with several studies reporting improved outcomes and reduced mortality rates. However, there are limited data on whether thrombolysis is effective in treating different ischaemic stroke subtypes in the Middle East and North African region. Methods: Data of cortical and lacunar patients who received intravenous thrombolysis from the Qatar Stroke Registry were retrospectively analysed from April 2014 to January 2025. Patients were matched 1:2 for age and admission National Institute of Health Stroke Scale (NIHSS). Results: Patients with cortical stroke who received recombinant tissue-type plasminogen activator (rt-PA) had a significantly lower proportion of a poor clinical outcome at 90 days (modified Rankin Scale (mRS) score of 3-6; 41.5% vs 50.5%, p=0.002), significantly lower NIHSS score at discharge (NIHSS score >10: 23.0% vs 33.9%, p<0.001), significantly lower proportion of mortality at 90 days (4.7% vs 8.2%, p=0.02) and significantly shorter length of stay (5.2 days vs 6.0 days, p=0.01) compared with controls. In terms of outcomes for patients with lacunar stroke, there were no significant differences compared with controls for their mRS score at 90 days (p=0.054), NIHSS score at discharge (p=0.21), mortality at 90 days (p=0.67) and length of stay (p=0.34). A multivariate conditional logistic regression model revealed that high admission NIHSS score (>10) was a significant predictor of a poor functional outcome at 90 days for cortical stroke post rt-PA (p<0.001), whereas for lacunar stroke, both high admission NIHSS score (>10) and symptom onset of >3 hours were identified as significant predictors of a poor functional outcome at 90 days post rt-PA (p=0.01 for both). History of diabetes mellitus and hypertension were also significant predictors of poor clinical outcome at 90 days, but this was only observed for cortical stroke (p<0.001 and p=0.003). Conclusion: In this study, intravenous thrombolysis yielded significant clinical outcomes for patients with cortical stroke but not patients with lacunar stroke.

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)0.003
metaresearch head score (Gemma)0.005
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.000
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 head0.039
GPT teacher head0.365
Teacher spread0.326 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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