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Record W2590735476 · doi:10.1186/s40809-016-0025-2

An historical and contemporary review of endovascular therapy for acute ischemic stroke

2017· article· en· W2590735476 on OpenAlexafffund
Karl Boyle, Raed A. Joundi, Richard I. Aviv

Bibliographic record

VenueNeurovascular Imaging · 2017
Typearticle
Languageen
FieldMedicine
TopicAcute Ischemic Stroke Management
Canadian institutionsUniversity of TorontoSunnybrook Health Science Centre
FundersInstitute of Neurosciences, Mental Health and AddictionCanadian Institutes of Health Research
KeywordsMedicineThrombolysisAspirinRandomized controlled trialStroke (engine)Intensive care medicineIschemic strokeTissue plasminogen activatorRecombinant tissue plasminogen activatorAcute strokeClinical trialMyocardial infarctionCardiologyInternal medicineIschemiaModified Rankin Scale

Abstract

fetched live from OpenAlex

Long standing, evidence based approved therapies for acute ischemic stroke include intravenous thrombolysis therapy (IVT) with alteplase (recombinant tissue plasminogen activator, rtPA) given within 4.5 h; aspirin therapy within 48 h; management in an acute stroke unit and hemicraniectomy in cases of malignant infarction. Multiple recent positive randomized controlled trials (RCTs) have now also established endovascular therapy with mechanical thrombectomy as the standard of care for acute ischemic stroke involving a large vessel occlusion in the anterior circulation. This article will review the history of endovascular treatments for acute ischemic stroke and will review the recent positive and negative randomized controlled trial evidence for its efficacy. Current guidelines and dilemmas regarding appropriate patient selection will be discussed.

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)0.002
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.006
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0060.009
Science and technology studies0.0010.001
Scholarly communication0.0020.003
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0050.002

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 head0.026
GPT teacher head0.303
Teacher spread0.277 · 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 designTheoretical or conceptual
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

Citations31
Published2017
Admission routes2
Has abstractyes

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