Résultats d’une approche multimodale pour la prise en charge des coarctations de l’aorte et de ses complications chez l’adulte
Bibliographic record
Abstract
Aim: We aimed to assess the results of various tailored management strategies for adults with coarctation in our centre.Methods and Results: From 2000, 63 adults were treated for a native coarctation (n=34), a recurrent coarctation (n=14) or aneurysmal complication (n=15) in our centre. Mean age of the patients was 42±1.7 years. All but one patient with native coarctation and recurrent coarctation underwent ER and 10 (67%) patients with aneurysmal complications were treated surgically. The primary end-point was a composite of long-term mortality, perioperative stroke, paraplegia, need for unplanned reoperation or occurrence of pseudoaneurysm during the follow-up. The mean follow-up was 82 ± 5 months. The freedom from the primary composite end-point was 94%, 84% and 81% at 1, 5 and 10 years respectively without difference between the 3 indication groups (p=0.96).Conclusions: Most of adult patients (80%) with aortic coarctation can be treated successfully with endovascular approach. Surgical repair also provides good results in patients who are not eligible for ER. Thus, centres that are involved in the care of this complex pathology should be able to propose a multimodal approach to provide the most appropriate strategy.
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".