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Record W107345972 · doi:10.1055/s-2003-44465

Management of Anticoagulation in Patients Who Require Invasive Procedures

2003· review· en· W107345972 on OpenAlexaff
Clive Kearon

Bibliographic record

VenueSeminars in Vascular Medicine · 2003
Typereview
Languageen
FieldMedicine
TopicVenous Thromboembolism Diagnosis and Management
Canadian institutionsMcMaster University Medical Centre
Fundersnot available
KeywordsMedicineHeparinBridging (networking)WarfarinPulmonary embolismThrombosisSurgeryRivaroxabanDeep veinAnticoagulantAtrial fibrillationLow molecular weight heparinAnesthesiaIntensive care medicineCardiology

Abstract

fetched live from OpenAlex

When orally anticoagulated patients need to have surgery, the goals of management are to minimize the risks of thromboembolism and of bleeding from the invasive procedure. Some invasive procedures can be performed while patients are fully or partially anticoagulated because bleeding is rare and/or easily controlled. When it is necessary to reverse oral anticoagulant therapy it should be interrupted for as short a time as possible, usually 4 or 5 days. Intravenous unfractionated heparin or therapeutic-dose subcutaneous low-molecular-weight heparin (LMWH) can be given as "bridging therapy" to reduce the risk of thromboembolism while oral anticoagulation is interrupted. However, the risks and benefits of bridging therapy are uncertain. Bridging therapy, particularly with LMWH, may not be very effective at preventing embolism in patients with atrial fibrillation or mechanical heart valves, and it may be associated with bleeding. My preference is to minimize the time that patients are off oral anticoagulant therapy, generally restarting warfarin the day of surgery; reserve bridging therapy for those at highest risk of thromboembolism; and to use "prophylactic" rather than "therapeutic" doses of heparin after major surgery. As major surgery markedly increases the risk of venous thromboembolism, postoperative bridging therapy should be considered for patients without an inferior vena caval filter that have had proximal deep vein thrombosis or pulmonary embolism during the previous month.

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)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.772
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0040.000
Bibliometrics0.0010.001
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 head0.025
GPT teacher head0.321
Teacher spread0.296 · 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.

Study designOther design
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

Citations15
Published2003
Admission routes1
Has abstractyes

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