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Record W2077027898 · doi:10.1136/ebn.12.2.49

Review: immediate antiplatelet therapy after acute ischaemic stroke reduces death or dependency and risk of recurrent strokeCommentary

2009· letter· en· W2077027898 on OpenAlexaff
Gail MacKenzie

Bibliographic record

VenueEvidence-Based Nursing · 2009
Typeletter
Languageen
FieldMedicine
TopicAcute Ischemic Stroke Management
Canadian institutionsHamilton Health SciencesHamilton General Hospital
Fundersnot available
KeywordsMedicineStroke (engine)AspirinAbciximabIschaemic strokeThrombolysisSubarachnoid hemorrhagePulmonary embolismInternal medicinePiracetamPlaceboCardiologyAnesthesiaMyocardial infarctionIschemia

Abstract

fetched live from OpenAlex

P A Sandercock Dr P A Sandercock, University of Edinburgh, Edinburgh, UK; peter.sandercock@ed.ac.uk What is the efficacy and safety of immediate antiplatelet therapy after acute ischaemic stroke? Included studies compared antiplatelet therapy, including aspirin, abciximab, heparin, and ticlopidine (started within 14 d of stroke) with placebo or no treatment in patients with acute ischaemic stroke. Studies of antiplatelet therapy after primary intracerebral or subarachnoid haemorrhage, or drugs with multiple modes of action (eg, piracetam, prostacyclin, and oxpentifylline) were excluded. Outcomes included death or dependence on others for activities of daily living 1 month after stroke, all-cause mortality, deep venous thrombosis, pulmonary embolism, recurrent stroke, and intracranial and extracranial haemorrhage. Medline, EMBASE/Excerpta Medica, …

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)0.016
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: Commentary · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.016
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0020.003
Science and technology studies0.0000.000
Scholarly communication0.0020.001
Open science0.0010.000
Research integrity0.0030.001
Insufficient payload (model declined to judge)0.0090.002

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 head0.036
GPT teacher head0.322
Teacher spread0.285 · 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
GenreCommentary

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
Published2009
Admission routes1
Has abstractyes

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