Clinical practice guideline for transcatheter versus surgical valve replacement in patients with severe aortic stenosis in Latin America
Bibliographic record
Abstract
In elderly (75 years or older) patients living in Latin America with severe symptomatic aortic stenosis candidates for transfemoral approach, the panel suggests the use of transcatheter aortic valve implant (TAVI) over surgical aortic valve replacement (SAVR). This is a conditional recommendation, based on moderate certainty in the evidence (⨁⨁⨁Ο).This recommendation does not apply to patients in which there is a standard of care, like TAVI for patients at very high risk for cardiac surgery or inoperable patients, or SAVR for non-elderly patients (eg, under 65 years old) at low risk for cardiac surgery. The suggested age threshold of 75 years old is based on judgement of limited available literature and should be used as a guide rather than a determinant threshold.The conditional nature of this recommendation means that the majority of patients in this situation would want a transfemoral TAVI over SAVR, but some may prefer SAVR. For clinicians, this means that they must be familiar with the evidence supporting this recommendation and help each patient to arrive at a management decision integrating a multidisciplinary team discussion (Heart Team), patient's values and preferences through shared decision-making, and available resources. Policymakers will require substantial debate and the involvement of various stakeholders to implement this recommendation.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.012 | 0.004 |
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".