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Record W2000326333 · doi:10.1159/000047655

Platelet Glycoprotein IIb/IIIa Blockade in Acute Ischemic Stroke

2001· review· en· W2000326333 on OpenAlexaboutno aff
Julien Bogousslavsky, Jacques R. Leclerc

Bibliographic record

VenueCerebrovascular Diseases · 2001
Typereview
Languageen
FieldMedicine
TopicAcute Ischemic Stroke Management
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineTissue plasminogen activatorBlockadePlateletStroke (engine)CardiologyAbciximabFibrinolytic agentPlasminogen activatorInternal medicineAcute strokePharmacologyMyocardial infarctionPercutaneous coronary interventionReceptor

Abstract

fetched live from OpenAlex

While thrombolytic therapy is approved in the United States and Canada for treatment of acute ischemic stroke, only a small number of patients are currently treated. Additional agents that could restore or improve cerebral flow are needed. Based on the experience in acute coronary syndromes, reperfusion agents such as platelet glycoprotein IIb/IIIa antagonists, alone or in combination with reduced doses of thrombolytic agents, have the potential for improving the safety and efficacy of recombinant tissue plasminogen activator (rt-PA). In addition, these newer agents may permit extension beyond the current 3-hour window from symptom onset used for systemic rt-PA.

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: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.004
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.002

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 head0.018
GPT teacher head0.288
Teacher spread0.270 · 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
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

Citations3
Published2001
Admission routes1
Has abstractyes

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