A survey of cardiac surgeons to evaluate the use of sutureless aortic valve replacement in Canada
Bibliographic record
Abstract
BACKGROUND: Sutureless aortic valve replacement (SuAVR) is gaining popularity for the treatment of aortic stenosis. We aimed to describe Canadian cardiac surgeons' practice patterns and perceptions regarding SuAVR. METHODS: Content experts (clinicians and methodologists) developed the survey. Domains in the questionnaire include: respondent characteristics, factors influencing the decision to implant a SuAVR, barriers to SuAVR use, and interest in participating in a trial. RESULTS: A total of 66 cardiac surgeons (median duration of practice: 15 years; range 8-20 years) from 18 hospitals across Canada responded to the survey for a response rate of 84%. Surgeons reported that the following patient characteristics increased the likelihood they would choose SuAVR: hostile root (73%), small annular size (55%), high Society of Thoracic Surgery risk score (42%), older age (40%), to support minimally invasive surgery (25%) and redo-operation (23%). The following patient characteristics made surgeons less likely to pursue SuAVR: young age (73%), low STS score (40%), and large annular size (30%). Reported barriers to SuAVR use included: cost (33%), permanent pacemaker risk (27%) and uncertain durability (12%). Of respondents, 73% were interested in participating in a randomized controlled trial comparing SuAVR with transcatheter aortic valve replacement. CONCLUSIONS: The primary reasons for surgeons selecting SuAVR were high surgical risk and anatomical challenges. Cost is a primary factor limiting SuAVR use.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.000 | 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".