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Ximelagatran Versus Warfarin: A Comparison of Bleeding Outcomes in Patients with Nonvalvular Atrial Fibrillation.

2004· article· en· W2593091403 on OpenAlexaff
James D. Douketis, Karin Arneklev, Samuel Z. Goldhaber, John Spandorfer, Frank Halperin, Jay Horrow

Bibliographic record

VenueBlood · 2004
Typearticle
Languageen
FieldMedicine
TopicAtrial Fibrillation Management and Outcomes
Canadian institutionsKelowna General HospitalMcMaster University
Fundersnot available
KeywordsXimelagatranMedicineWarfarinAtrial fibrillationStroke (engine)Internal medicineCardiologyDirect thrombin inhibitorAnticoagulantEmbolismAnesthesiaDabigatran

Abstract

fetched live from OpenAlex

Abstract Background: The conventional anticoagulant management of patients with nonvalvular atrial fibrillation (AF) involves warfarin, administered to achieve a target international normalized ratio (INR) of 2.0–3.0. Ximelagatran is a novel oral direct thrombin inhibitor that, unlike warfarin, has a predictable anticoagulant effect and does not require dose adjustments based on the INR. In the SPORTIF III and V trials, ximelagatran was as effective as warfarin in preventing stroke and other thromboembolic complications in patients with nonvalvular AF. However, these studies were not designed to determine if ximelagatran was associated with a lower risk of major bleeding. Furthermore, these studies did not compare the case-fatality rate, time course, and anatomic sites of bleeding in ximelagatran- and warfarin-treated patients. Methods: We undertook a pooled analysis of the SPORTIF III and V trials that involved 7329 patients with AF who received oral ximelagatran, 36 mg twice daily, or warfarin, administered to achieve a target INR of 2.0–3.0. Patients had nonvalvular AF and 1 or more risk factors for stroke: hypertension; age ≥75 yrs; previous stroke, transient ischemic attack or systemic embolism; left ventricular dysfunction; age ≥65 yrs and coronary artery disease; or age ≥65 yrs and diabetes. Major exclusion criteria were: mitral stenosis; previous heart valve surgery; transient AF; and increased risk for bleeding. Bleeding event rates were compared using Fisher’s exact test and the log-rank test and were expressed as the number of bleeds per year. The case-fatality rate of major bleeding was defined as the number of fatal bleeds divided by fatal plus nonfatal bleeds. Results: The annual incidence of major bleeding was 2.0% in ximelagatran-treated patients and 2.7% in warfarin-treated patients (P = 0.029). The annual incidence of any (major or minor) bleeding was 31.7% in ximelagatran-treated patients and 38.8% in warfarin-treated patients (P < 0.0001). If episodes of intracranial hemorrhage were excluded, the annual incidence of major bleeding was 1.9% in ximelagatran-treated patients and 2.4% in warfarin-treated patients (P = 0.054). The case-fatality rate of major bleeding was 8.2% in ximelagatran-treated and 8.1% in warfarin-treated patients (P = 0.98). The time course and anatomic sites of major bleeding were not significantly different in ximelagatran-treated and warfarin-treated patients. Most bleeds involved the gastrointestinal tract, urinary tract or soft tissues. Conclusion: In patients with nonvalvular AF who require long-term anticoagulation, treatment with oral ximelagatran, 36 mg twice daily, is associated with a lower risk of bleeding complications than warfarin.

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)0.005
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.009
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0050.007
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.001
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 head0.044
GPT teacher head0.317
Teacher spread0.272 · 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 designNon-randomized trial
Domainnot available
GenreEmpirical

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

Citations1
Published2004
Admission routes1
Has abstractyes

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