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Record W2903630030 · doi:10.1097/hco.0000000000000597

COMPASS for Vascular Surgeons

2018· review· en· W2903630030 on OpenAlexaff
Mohamad A. Hussain, Mark Wheatcroft, Patrice Nault, Thomas F. Lindsay, Deepak L. Bhatt, Sonia S. Anand, Subodh Verma, Mohammed Al‐Omran

Bibliographic record

VenueCurrent Opinion in Cardiology · 2018
Typereview
Languageen
FieldMedicine
TopicPeripheral Artery Disease Management
Canadian institutionsMcMaster UniversityPopulation Health Research InstituteHamilton Health SciencesToronto General HospitalUniversity of TorontoUniversity Health NetworkCégep de l'OutaouaisSt. Michael's Hospital
Fundersnot available
KeywordsMedicineRivaroxabanAspirinGangreneAdverse effectAmputationAntithromboticCritical limb ischemiaRevascularizationClopidogrelWarfarinRandomized controlled trialInternal medicineSurgeryVascular diseaseCardiologyArterial diseaseMyocardial infarction

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: To suggest a practical approach for the application of data from the Cardiovascular Outcomes for People Using Anticoagulation Strategies (COMPASS) trial in patients with peripheral artery disease (PAD). RECENT FINDINGS: The COMPASS trial showed that low-dose rivaroxaban 2.5 mg twice daily plus daily aspirin was superior to aspirin alone in reducing major adverse cardiovascular and cerebrovascular events, and major adverse limb events among patients with stable atherosclerotic vascular disease, including those with PAD. The risk for major bleeding, however, was higher with rivaroxaban plus aspirin. Critical limb ischemia at baseline (rest pain, ulcer, or gangrene), previous limb or foot amputation, or a history of peripheral revascularization surgery or stenting were independently associated with increased major adverse limb events within the trial. SUMMARY: Intensification of antithrombotic therapy with low-dose rivaroxaban plus aspirin should be considered in low bleeding risk PAD patients who are at increased risk for ischemic and/or limb events. A practical approach for clinicians is presented to help incorporate COMPASS data into practice.

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 score0.792
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.001
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 head0.182
GPT teacher head0.440
Teacher spread0.258 · 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

Citations9
Published2018
Admission routes1
Has abstractyes

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