[Myocardial revascularization in the female population].
Bibliographic record
Abstract
OBJECTIVES: To analyze the factors that influence outcomes of surgical myocardial revascularization in the female population. PATIENTS AND METHOD: This is a retrospective study in which 128 woman, subjected to GABC[IBM1] from January to September 2004, were enrolled in an univariate and multivariate analysis of risk factors associated with morbidity and mortality. RESULTS: The mean age was 69.19 +/- 9.05 [IBM2] years, the most frequent pathologies, comorbilities, were dyslipemia, hypertension, and myocardial infarction. Unestable angina was found in 63.28% patients and stenosis in the left main coronary artery 42.96%; NYHA III-IV in 23.43%. The EuroSCORE mean preoperative risk was [IBM3] 5.57. Twelve surgeries were emergencies. Mean of grafts was 2.57. Mortality corresponded to 5.4% in programmed surgeries, 7% global. Univariate analysis identified this risk factors releated to mortality (p < 0.05): age older than 67 years, NYHA III-IV and emergency surgery, complicated in 25.2%. Follow-up was kept in 90.8% of patients, mean follow-up time was 17.11 (+/- 14.94) months; 115 patients did not present angina. The risk factor for angina during follow-up, in the univariate analysis (p < 0.05) was not having used the left internal thoracic artery as graft for the anastomosis of the anterior descending artery. CONCLUSIONS: Emergency surgery, age older than 67 years, and NYHA III-IV, were independent risk factors associated with mortality in this group. The use of artery grafts associated to reduced angina during follow-up.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".