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Management of a wake-up stroke

2019· article· en· W2921553253 on OpenAlexfundno aff
Xuya Huang, Vafa Alakbarzade, Nader Khandanpour, Anthony Pereira

Bibliographic record

VenuePractical Neurology · 2019
Typearticle
Languageen
FieldMedicine
TopicAcute Ischemic Stroke Management
Canadian institutionsnot available
FundersHeart and Stroke Foundation of Canada
KeywordsMedicineThrombolysisFluid-attenuated inversion recoveryIschaemic strokeStroke (engine)Acute strokeCardiologyMiddle cerebral arteryInfarctionPerfusion scanningInternal medicinePerfusionMagnetic resonance imagingRadiologyTissue plasminogen activatorIschemiaMyocardial infarction

Abstract

fetched live from OpenAlex

Current national guidelines advocate intravenous thrombolysis to treat patients with acute ischaemic stroke presenting within 4.5 hours from symptom onset, and thrombectomy for patients with anterior circulation ischaemic stroke from large vessel occlusion presenting within 6 hours from onset. However, a substantial group of patients presents with acute ischaemic stroke beyond these time windows or has an unknown time of onset. Recent studies are set to revolutionise treatment for these patients. Using MRI diffusion/FLAIR (fluid-attenuated inversion recovery) mismatch, it is possible to identify patients within 4.5 hours from onset and safely deliver thrombolysis. Using CT perfusion imaging, it is possible to identify subjects with a middle cerebral artery syndrome who have an extensive area of ischaemic brain but as yet have only a small area of infarction who may benefit from urgent thrombectomy in up to 24 hours. Here, we highlight the recent advances in late window stroke treatment and their potential contribution to clinical practice.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.019
GPT teacher head0.307
Teacher spread0.287 · 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 designNot applicable
Domainnot available
GenreEditorial

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

Citations8
Published2019
Admission routes1
Has abstractyes

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