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Record W2045332469 · doi:10.1191/1358863x06vm655xx

Vascular viewpoint

2006· article· en· W2045332469 on OpenAlexaff
Claudio S. Cinà, P.J. Devereaux

Bibliographic record

VenueVascular Medicine · 2006
Typearticle
Languageen
FieldMedicine
TopicCardiac, Anesthesia and Surgical Outcomes
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMedicineRevascularizationCardiologyInternal medicineCoronary artery diseasePerioperativeUnstable anginaStenosisPopulationAnginaEjection fractionMyocardial infarctionSurgeryHeart failure

Abstract

fetched live from OpenAlex

Question: In patients with clinically stable coronary artery disease, who are scheduled for elective abdominal aortic or infrainguinal vascular surgery, does prophylactic coronary artery revascularization prior to vascular surgery reduce long-term mortality? Population: Patients met inclusion criteria if they were undergoing elective vascular surgery and a cardiologist considered them at increased risk for perioperative cardiac complications based on clinical risk factors or the presence of ischemia on nuclear stress imaging. After coronary angiography, patients were considered eligible for randomization if they had a <70% stenosis in one or more major coronary artery that was suitable for revascularization. Patients with unstable angina, stenosis of the left main coronary artery of >50%, left ventricular ejection fraction <20%, or severe aortic stenosis were excluded from the trial. Design and methods: During 1997-2003 from 18 Veterans Administration centers in the USA, 5859 patients were screened, of which 80% were initially excluded because of insufficient cardiac risk or no evidence of ischemia on nuclear imaging ( n = 2280), urgent vascular surgery ( n = 1025), severe coexisting comorbidities ( n = 731), or refusal to participate or enrolment in other studies ( n = 633). Of the remaining 1190 patients who underwent coronary angiography, 680 (57%) were excluded for the following reasons: non-occlusive or non-operable coronary artery disease 363 (53%) and 215 (32%), respectively; and exclusions (e.g. left main coronary artery disease) 15%. A randomized design was used to assign 510 patients (98% men) to a strategy of preoperative coronary artery revascularization ( n = 258), or no revascularization ( n = 252), before vascular surgery. Of the participants, 74% had more than three of the Eagle clinical criteria, or more than two of the variables of the Revised Cardiac Risk Index, or a moderate to large reversible defect on imaging (71% of the 65% participants who received nuclear stress tests). Also, 33% of participants had three-vessel coronary artery disease. The choice of coronary revascularization, either percutaneous coronary intervention (PCI) or coronary artery bypass grafting (CABG), was left to the discretion of the study centers. The primary outcome was long-term all-cause mortality. Secondary outcomes were perioperative mortality or myocardial infarction, stroke, limb loss, or dialysis. The analysis followed the intention-to-treat principle. Results: Median follow-up was 2.7 years and follow-up was 100% complete. Long-term all-cause mortality did not differ between the two groups: 67 (26%) patients in the non-revascularization group and 70 (27%) patients in the revascularization group died (RRR 4%; 95% CI - 32 to 30). There was also no difference in perioperative mortality ( p = 0.87), myocardial infarction ( p = 0.37), stroke ( p = 0.59), limb loss ( p = 0.11), and dialysis ( p = 0.97). Conclusions: In patients with clinically stable coronary artery disease, who are scheduled for elective abdominal aortic or infrainguinal vascular surgery, prophylactic coronary artery revascularization using PCI or CABG prior to surgery did not reduce long-term all-cause mortality.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.172
Threshold uncertainty score0.576

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0040.003
Open science0.0010.002
Research integrity0.0070.006
Insufficient payload (model declined to judge)0.1720.088

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 head0.009
GPT teacher head0.241
Teacher spread0.232 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

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

Citations54
Published2006
Admission routes1
Has abstractyes

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