Reply: Relating the indexed effective orifice area and mean transprosthesis gradient to define patient–prosthesis mismatch: Are we sure a relationship exists?
Bibliographic record
Abstract
We thank Ternacle and Pibarot for their letter to the Editor and their interest in addressing patient–prosthesis mismatch (PPM) at the time of surgical aortic valve replacement (SAVR).1 The senior author, Dr Pibarot, should be recognized for his seminal contributions to the study of PPM. Much of our knowledge of PPM is related to Dr Pibarot's original paper that derived indexed effective orifice area (iEOA) thresholds associated with elevated gradients to define PPM. In the study by Pibarot and Dumesnil2 dating back to 2000, an exponential model was used to help determine sharp inflection points that were associated with elevated prosthetic valve mean gradients in 396 patients.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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".