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Record W1496998087 · doi:10.1159/000338056

Antiplatelet Therapy in Acute Coronary Syndrome and Atrial Fibrillation: Aspirin

2012· review· en· W1496998087 on OpenAlex
Jean‐François Tanguay

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAdvances in cardiology · 2012
Typereview
Languageen
FieldMedicine
TopicAntiplatelet Therapy and Cardiovascular Diseases
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsMedicineAspirinAntithromboticAcute coronary syndromeAtrial fibrillationCardiologyInternal medicineMyocardial infarctionStroke (engine)Clinical trialClopidogrelIntensive care medicine

Abstract

fetched live from OpenAlex

Platelets play a critical role in the pathophysiology of acute coronary syndrome and thromboembolic complications associated with atrial fibrillation. Despite the development of newer and more potent antiplatelet agents, aspirin remains the cornerstone of antithrombotic therapy. Clinical trials conducted over the past decades have clearly established the safety and efficacy of aspirin therapy for the acute treatment and secondary prevention of acute myocardial infarction, ischemic stroke, and vascular death among patients at high risk for cardiovascular events. Although the absolute benefit of aspirin for primary prevention is lower than seen in secondary prevention trials, it is nevertheless an accepted preventive. This chapter provides a comprehensive overview of the clinical utility of aspirin in the setting of acute coronary syndrome and atrial fibrillation.

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.

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)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.972
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.034
GPT teacher head0.340
Teacher spread0.307 · 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