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Record W2395670853 · doi:10.1055/s-2003-44468

Oral Anticoagulant Therapy in Patients with Coronary Artery Disease

2003· review· en· W2395670853 on OpenAlexaff
Daniel G. Hackam, Sonia S. Anand, Salim Yusuf

Bibliographic record

VenueSeminars in Vascular Medicine · 2003
Typereview
Languageen
FieldMedicine
TopicAtrial Fibrillation Management and Outcomes
Canadian institutionsMcMaster UniversityMcMaster University Medical Centre
Fundersnot available
KeywordsMedicineAspirinMyocardial infarctionCoronary artery diseaseInternal medicineCardiologyOral anticoagulantCardiovascular eventAnticoagulant therapyStroke (engine)Atrial fibrillationWarfarin

Abstract

fetched live from OpenAlex

Oral anticoagulation (OA) has been used to treat patients with coronary artery disease (CAD) for more than 40 years and has been a subject of intense controversy since that time. Seven to 10% of patients with acute myocardial infarction (MI) develop recurrent MI, stroke, or death in the 6 weeks following the index event and approximately 20% after 4 years, despite optimal background therapy with aspirin. Recent large studies and systematic reviews have greatly clarified the role of OA in the modern era. On the weight of the evidence, which is reviewed in detail in this article, long-term, moderate-intensity OA (International Normalized Ratio 2.0 to 3.0) should be considered an option for the prevention of recurrent CAD, particularly in high-risk patients.

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 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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.754
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.058
GPT teacher head0.341
Teacher spread0.282 · 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 teacher head, not a consensus.

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

Citations15
Published2003
Admission routes1
Has abstractyes

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