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Acute stroke thrombectomy: evidence and indications

2019· review· en· W2914709461 on OpenAlexaboutno aff
Mikito Hayakawa

Bibliographic record

VenueRinsho Shinkeigaku · 2019
Typereview
Languageen
FieldMedicine
TopicAcute Ischemic Stroke Management
Canadian institutionsnot available
Fundersnot available
KeywordsStroke (engine)MedicineAcute strokeCardiologyIntensive care medicineInternal medicineTissue plasminogen activatorEngineering

Abstract

fetched live from OpenAlex

From 2014 to 2015, the five pivotal stroke trials (MR CLEAN, ESCAPE, EXTEND-IA, SWIFT PRIME and REVASCAT) have shown that stroke thrombectomy clearly improved functional outcome of patients with occlusion of the internal carotid artery or the M1 portion of the middle cerebral artery, with a baseline National Institutes of Health Stroke Scale score of ≥6, with a baseline Alberta Stroke Program Early Computed Tomography Score of ≥6, and who could receive thrombectomy within a 6-hour window of symptom onset. In 2018, the efficacy of stroke thrombectomy for patients with late-presenting stroke up to 16 to 24 hours of onset and who had clinical imaging mismatch or target mismatch was also established by the DAWN and the DEFUSE3 trials. Nowadays, stroke thrombectomy, therefore, have become a "standard of care" and acute stroke patients with large vessel occlusion should receive stroke thrombectomy if they meet top-tier evidence criteria.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.914
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.117
GPT teacher head0.395
Teacher spread0.278 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreReview

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

Citations4
Published2019
Admission routes1
Has abstractyes

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