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Record W2138710687 · doi:10.1097/moh.0b013e32832ea2d7

Oral anticoagulation with factor Xa and thrombin inhibitors: on the threshold of change

2009· article· en· W2138710687 on OpenAlexaboutno aff
Jennifer Zikria, Jack Ansell

Bibliographic record

VenueCurrent Opinion in Hematology · 2009
Typearticle
Languageen
FieldMedicine
TopicVenous Thromboembolism Diagnosis and Management
Canadian institutionsnot available
Fundersnot available
KeywordsRivaroxabanDabigatranApixabanMedicineDiscovery and development of direct thrombin inhibitorsWarfarinDirect thrombin inhibitorEdoxabanIntensive care medicineFondaparinuxVenous thromboembolismThrombinPharmacologySurgeryInternal medicineThrombosisAtrial fibrillationPlatelet

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: Since the discovery of vitamin K antagonists in the early 1940s, there has been little change in anticoagulation until, in the 1990s, widespread use of low-molecular-weight heparin. Within the next few years, the treatment of arterial and venous thromboembolism is again poised to undergo a major change with the introduction of new oral anticoagulants that are likely to fulfill many of the unmet needs of current warfarin therapy. New drug development has focused on inhibiting specific coagulation factors, with those targeting thrombin and factor Xa being most advanced in development. RECENT FINDINGS: Several landmark studies are now available on the direct thrombin inhibitor, dabigatran etexilate, and the two factor Xa inhibitors, rivaroxaban and apixaban. Recently, dabigatran etexilate received European approval for venous thromboembolism prevention following orthopedic surgery. Rivaroxaban is currently also approved in Europe and Canada for venous thromboembolism prevention in orthopedic surgery, with US Food and Drug Administration approval expected in 2009. SUMMARY: New oral anticoagulant approval may provide safer and easier venous thromboembolism prevention and treatment than warfarin. As we stand on this threshold, this article reflects on anticoagulation breakthroughs, summarizes recent studies, and discusses potential drawbacks.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.546
Threshold uncertainty score0.287

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.158
GPT teacher head0.368
Teacher spread0.210 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations31
Published2009
Admission routes1
Has abstractyes

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