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Record W4327592247 · doi:10.1161/svin.122.000664

Safety and Efficacy of MCA‐M2 Thrombectomy in Delayed Time Window: A Propensity Score Analysis From the STAR Registry

2023· article· en· W4327592247 on OpenAlexaboutno aff
Kaustubh Limaye, Andrew B. Koo, Adam de Havenon, Sami Al Kasab, Bradley N. Bohnstedt, Ilko Maier, Marios‐Nikos Psychogios, Stacey Q Wolfe, Adam S Arthur, Peter Kan, Joon‐Tae Kim, Reade De Leacy, Joshua W. Osbun, Ansaar Rai, Pascal Jabbour, Min S. Park, Roberto Crosa, Justin Mascitelli, Michael R. Levitt, Adam Polifka, Walter Casagrande, Shinichi Yoshimura, Richard Williamson, Benjamin Gory, Maxim Mokin, Isabel Fragata, Daniele Romano, Shakeel Chowdry, Amir Shaban, Mark Moss, Daniel Behme, Alejandro M Spiotta, Charles Matouk

Bibliographic record

VenueStroke Vascular and Interventional Neurology · 2023
Typearticle
Languageen
FieldMedicine
TopicAcute Ischemic Stroke Management
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineThrombolysisMiddle cerebral arteryPropensity score matchingStroke (engine)Cerebral infarctionOcclusionSurgeryInternal medicineAneurysmCardiologyMyocardial infarctionIschemia

Abstract

fetched live from OpenAlex

Background Mechanical thrombectomy of middle cerebral artery M2 segment occlusion of the middle cerebral artery has reported safety and efficacy in recent post‐hoc and observational studies. However, there is no known benefit of mechanical thrombectomy for patients with M2 segment occlusions in the delayed time window (>6 hours). Methods The Stroke Thrombectomy and Aneurysm Registry (STAR) is a prospective, multicenter, nonrandomized observational study registry for acute ischemic stroke thrombectomy and aneurysm treatment. We analyzed all patients who underwent mechanical thrombectomy within the late time window (>6 hours from symptom onset) involving isolated M2 occlusions. We used propensity score matching to select a comparison group of patients who underwent mechanical thrombectomy for M1 occlusion in the same time window. Results Of 1083 consecutive patients analyzed, propensity matching yielded 180 well matched M1 and M2 pairs. Baseline demographics were well balanced between the groups (M1 and M2). Alberta stroke program early CT score (7.6±1.7 versus 8.3±1.5; P <0.001) was higher in the M2 group. There was a trend towards less complete recanalization (Thrombolysis in Cerebral Infarction 3) 46.1% versus 39.9% ( P =0.053) in the middle cerebral artery M2 segment cohort. However, successful recanalization (Thrombolysis in Cerebral Infarction 2b‐3) was better in middle cerebral artery M2 segment cohort (85% versus 90.5%; P =0.053). Postprocedural asymptomatic hemorrhage rates were similar (29.4% versus 27.8%; P =0.816), but symptomatic hemorrhage rates were higher in the M1 group (7.2% versus 2.2%; P =0.047). Rates of good clinical outcome (modified Rankin scale 0–2) were similar at final follow‐up (43.9% versus 46.7%; P =0.672). The overall mortality was also similar between the cohorts (12.8% versus 13.9%; P =0.877). Conclusion In our analysis of the Stroke Thrombectomy and Aneurysm Registry, M2 occlusions not only achieved similar rates of recanalization and good functional outcome compared with M1 occlusions in a delayed time window (6–24 hours from last normal) but also had less symptomatic intracranial hemorrhage.

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)0.004
metaresearch head score (Gemma)0.007
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 score0.004
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
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 head0.019
GPT teacher head0.255
Teacher spread0.236 · 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

Citations5
Published2023
Admission routes1
Has abstractyes

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