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Record W4400893465 · doi:10.1136/jnis-2024-snis.205

E-100 Intravenous thrombolysis in distal medium middle cerebral artery occlusion patients with unsuccessful mechanical reperfusion

2024· article· en· W4400893465 on OpenAlexaff
Sherief Ghozy, A Dmytriw, NM Cancelliere, Vítor Mendes Pereira, Hotimah Masdan Salim, Basel Musmar, R Kadirvel, A Guenego

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicAcute Ischemic Stroke Management
Canadian institutionsUniversity of TorontoSt. Michael's Hospital
Fundersnot available
KeywordsThrombolysisMiddle cerebral arteryMedicineOcclusionCardiologyInternal medicineAnesthesiaIschemiaMyocardial infarction

Abstract

fetched live from OpenAlex

Background The efficacy and safety of intravenous thrombolysis (IVT) in acute ischemic stroke (AIS) patients undergoing mechanical thrombectomy (MT) for distal, medium vessel occlusions (DMVO) is not well established. This study investigates whether IVT impacts outcomes in DMVO patients, particularly in those with unsuccessful or partial recanalization after MT. Methods We conducted a retrospective, multicenter study using data from the Multicenter Analysis of primary Distal medium vessel occlusions: effect of Mechanical Thrombectomy (MAD-MT) registry. The study population included acute ischemic stroke patients with DMVO in the M2, M3, and M4 segments of the MCA, treated with or without IVT followed by MT and a final modified Thrombolysis in Cerebral Infarction (mTICI) score of 0, 1, or 2a. The primary outcome was functional independence, assessed by the 90-day modified Rankin Scale (mRS) of 0–1 or 0–2. Results The study comprised 210 patients with final mTICI 0 to 2a, with 130 undergoing MT alone and 80 receiving IVT followed by MT (figure 1). Logistic regression analysis revealed no significant difference in clinical outcomes between groups, with odds ratios (ORs) for achieving a 90-day mRS of 0–1 and 0–2 being 1.13 (95% CI 0.52 to 2.45; p=0.75) and 1.09 (95% CI 0.57 to 2.07; p=0.79), respectively. The odds of symptomatic intracerebral hemorrhage (sICH) were similar between groups (OR 0.68, 95% CI 0.30 to 1.54; p=0.37), as were the odds of intracranial hemorrhage (ICH) of any type (OR 1.50, 95% CI 0.89 to 2.52; p=0.22) (figure 2). Conclusions In AIS patients with DMVO and unsuccessful or partial recanalization after MT, IVT did not significantly improve clinical outcomes. Additionally, IVT did not increase the risk of hemorrhagic complications. These findings suggest that while IVT is safe in this context, its may not improve outcomes for patients with unsuccessful MT. Disclosures S. Ghozy: None. A. Dmytriw: None. N. Cancelliere: None. V. Pereira: None. H. Salim: None. B. Musmar: None. R. Kadirvel: None. A. Guenego: None.

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)0.001
metaresearch head score (Gemma)0.003
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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.008
GPT teacher head0.228
Teacher spread0.219 · 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
Published2024
Admission routes1
Has abstractyes

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