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Record W2068528564 · doi:10.1177/1076029609344427

Oral Antithrombotic Inhibitors: Dabigatran Etexilate, Meeting an Unmet Need?

2009· article· en· W2068528564 on OpenAlexaff
Russell D. Hull

Bibliographic record

VenueClinical and Applied Thrombosis/Hemostasis · 2009
Typearticle
Languageen
FieldMedicine
TopicVenous Thromboembolism Diagnosis and Management
Canadian institutionsFoothills Medical Centre
Fundersnot available
KeywordsMedicineDabigatranAntithromboticIntensive care medicineDirect thrombin inhibitorDrugWarfarinVitamin kAnticoagulantAtrial fibrillationInternal medicinePharmacology

Abstract

fetched live from OpenAlex

Although effective, vitamin K antagonists (VKAs) are challenging to use because of their slow onset and offset of action, narrow therapeutic window, multiple dietary and drug interactions, and unpredictable anticoagulant effect. Accordingly, it is recognized that there is an unmet need for an oral thrombotic inhibitor that does not require monitoring and has a rapid onset of action. There is also an unmet need in the field of thromboprophylaxis against venous thromboembolism (VTE) in high-risk patients. The topic of this Supplement is the evidence for the use of dabigatran in high-risk orthopedic patients, namely patients with hip and knee athroplasty. An oral therapy with an immediate reliable and predictable anticoagulant effect without the need for coagulation monitoring and without any long-term hepatic or safety concerns will be a major advance in the management of patients with various thrombotic disorders.

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)0.001
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.020
Threshold uncertainty score0.069

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.004
Open science0.0010.001
Research integrity0.0050.003
Insufficient payload (model declined to judge)0.0200.007

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 head0.065
GPT teacher head0.367
Teacher spread0.303 · 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 designNot applicable
Domainnot available
GenreCommentary

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
Published2009
Admission routes1
Has abstractyes

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