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Record W2099862803 · doi:10.1097/moh.0b013e32832e99c0

A logical approach to surgical thromboprophylaxis

2009· review· en· W2099862803 on OpenAlexaff
Kylie Lepic, Mark Crowther

Bibliographic record

VenueCurrent Opinion in Hematology · 2009
Typereview
Languageen
FieldMedicine
TopicVenous Thromboembolism Diagnosis and Management
Canadian institutionsMcMaster University
Fundersnot available
KeywordsIntensive care medicineMedicine

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: Venous thromboembolism is an important complication for patients undergoing surgery. Thromboprophylaxis reduces thromboembolic events. RECENT FINDINGS: In this review we discuss the evidence supporting the use of newer agents for thromboprophylaxis, rivaroxaban and dabigatran etexilate. We will also discuss current thromboprophylaxis options for patients undergoing bariatric surgery, including dose and duration of pharmacological prophylaxis and mechanical methods. The most recent The American College of Chest Physicians and American Academy of Orthopedic Surgeons guidelines are also reviewed. SUMMARY: Novel agents may modify our approach to thromboprophylaxis; although these agents offer reduced rates of venographic deep vein thrombosis, their impact on patient important outcomes (clinical deep vein thrombosis, pulmonary embolism and death) requires additional study.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.957
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0050.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.166
GPT teacher head0.434
Teacher spread0.268 · 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 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

Citations2
Published2009
Admission routes1
Has abstractyes

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