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Record W2418481555 · doi:10.20452/pamw.1976

Is there a role for the novel oral anticoagulants in patients with an acute coronary syndrome? A review of the clinical trials

2013· review· en· W2418481555 on OpenAlexaff
Aaron Liew, Saeed Darvish‐Kazem, James D. Douketis

Bibliographic record

VenuePolskie Archiwum Medycyny Wewnętrznej · 2013
Typereview
Languageen
FieldMedicine
TopicAtrial Fibrillation Management and Outcomes
Canadian institutionsSt. Joseph’s Healthcare Hamilton
Fundersnot available
KeywordsRivaroxabanMedicineDabigatranApixabanAcute coronary syndromeIntensive care medicineAtrial fibrillationClinical trialVitamin kVenous thromboembolismAnticoagulantHeparinStroke (engine)Randomized controlled trialWarfarinInternal medicineThrombosisMyocardial infarction

Abstract

fetched live from OpenAlex

The novel oral anticoagulant drugs, comprising dabigatran, rivaroxaban, and apixaban, have emerged as compelling alternatives to vitamin K antagonists for stroke prevention in atrial fibrillation, and low‑molecular‑weight heparin for thromboprophylaxis following hip and knee arthroplasty. Rivaroxaban has also been approved for treatment of venous thromboembolism. However, the role of these drugs for the management of patients with an acute coronary syndrome (ACS) is less certain. The purpose of this review was to summarize the randomized trials evaluating novel oral anticoagulants in patients with an ACS and consider the reasons why these drugs have not been incorporated into routine clinical practice. In addition, the situation involving rivaroxaban, which has been approved for use in patients with an acute coronary syndrome in Europe but not in North America, is discussed.

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)0.003
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.004
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0040.004
Science and technology studies0.0000.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.351
GPT teacher head0.500
Teacher spread0.150 · 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 designSystematic review
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

Citations4
Published2013
Admission routes1
Has abstractyes

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