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Record W2112521086 · doi:10.1097/moh.0b013e32833c06b3

Will there be a role for genotyping in warfarin therapy?

2010· review· en· W2112521086 on OpenAlexaff
Esteban Gándara, Philip S. Wells

Bibliographic record

VenueCurrent Opinion in Hematology · 2010
Typereview
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicPharmacogenetics and Drug Metabolism
Canadian institutionsOttawa HospitalUniversity of Ottawa
Fundersnot available
KeywordsWarfarinDosingMedicineIntensive care medicineTherapeutic indexThrombosisVKORC1CYP2C9Internal medicinePharmacologyDrugAtrial fibrillation

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: In North America warfarin is the current standard for oral anticoagulation therapy in the treatment and/or prophylaxis of different thrombotic conditions. In daily clinical practice a significant proportion of patients on long-term warfarin therapy fail to stabilize within their target therapeutic range leading to a resultant increased risk of thromboembolism or bleeding. Various authors and agencies advocate the role of genetic testing to guide warfarin dosing. RECENT FINDINGS: Evidence regarding the clinical efficacy and cost-effectiveness of genotype-based warfarin dosing has been conflicting, although some recent studies have suggested a potential benefit in certain subgroups. SUMMARY: More evidence is needed before the wide adoption of genotype-based warfarin dosing. Future studies should be designed to address outcomes such as major bleeding or recurrent thrombosis, and allow economic evaluations.

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), Research integrity
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.992
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0020.003
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 head0.385
GPT teacher head0.551
Teacher spread0.166 · 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; both teacher heads agree on what is shown here.

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

Citations6
Published2010
Admission routes1
Has abstractyes

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