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Record W2539722649 · doi:10.1016/j.accpm.2016.09.002

Management of direct oral anticoagulants in patients undergoing elective surgeries and invasive procedures: Updated guidelines from the French Working Group on Perioperative Hemostasis (GIHP) – September 2015

2016· article· en· W2539722649 on OpenAlexaff
Pierre Albaladejo, Fanny Bonhomme, Normand Blais, Jean‐Philippe Collet, David Faraoni, Pierre Fontana, Anne Godiér, Juan V. Llau, Dan Longrois, Emmanuel Marret, Patrick Mismetti, Nadia Rosencher, Stéphanie Roullet, Charles Marc Samama, Jean‐François Schved, Piérre Siè, A. Steib, Sophie Susen

Bibliographic record

VenueAnaesthesia Critical Care & Pain Medicine · 2016
Typearticle
Languageen
FieldMedicine
TopicAtrial Fibrillation Management and Outcomes
Canadian institutionsUniversité de MontréalHôpital Notre-Dame
Fundersnot available
KeywordsMedicineApixabanPerioperativeEdoxabanDabigatranRivaroxabanAnesthesiaSurgeryHemostasisWarfarinAtrial fibrillationInternal medicine

Abstract

fetched live from OpenAlex

Since 2011, data on patients exposed to direct oral anticoagulants (DOAs) while undergoing invasive procedures have accumulated. At the same time, an increased hemorrhagic risk during perioperative bridging anticoagulation without thrombotic risk reduction has been demonstrated. This has led the GIHP to update their guidelines published in 2011. For scheduled procedures at low bleeding risk, it is suggested that patients interrupt DOAs the night before irrespective of type of drug and to resume therapy six hours or more after the end of the invasive procedure. For invasive procedures at high bleeding risk, it is suggested to interrupt rivaroxaban, apixaban and edoxaban three days before. Dabigatran should be interrupted according to the renal function, four days and five days if creatinine clearance is higher than 50mL/min and between 30 and 50mL/min, respectively. For invasive procedures at very high bleeding risk such as intracranial neurosurgery or neuraxial anesthesia, longer interruption times are suggested. Finally, bridging with parenteral anticoagulation and measurement of DOA concentrations can no longer routinely be used.

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.029
Threshold uncertainty score0.605

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.060
GPT teacher head0.350
Teacher spread0.290 · 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

Citations98
Published2016
Admission routes1
Has abstractyes

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