A Collection of Original Research Papers Published in The Canadian Journal of Cardiology 165 Chapter 21: Use of valve surgery in Canada
Bibliographic record
Abstract
BACKGROUND: To date, although clinical databases have been used to report on single centre or regional valve surgery outcomes, neither clinical nor administrative data have been used to examine rates of valve surgery use across large geographical regions. The objec-tive of the present study was to use administrative data to evaluate use of valve surgery over time and across Canada. METHODS: All cases of aortic valve replacement (AVR), mitral valve replacement (MVR), mitral valve repair (MV repair), com-bined AVR and coronary artery bypass grafting (CABG), and com-bined MVR/MV repair and CABG between fiscal years 1994/95 and 1999/2000 were identified using hospital discharge abstract data obtained from the Canadian Institute for Health Information. Age-and sex-adjusted rates of valve surgery were then calculated by province and by procedure type. RESULTS: Rates of valve surgery for all procedure types increased
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.000 | 0.000 |
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.
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 teacher head, 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".