A Systematic Review on PETTICOAT and STABILISE Techniques for the Management of Complicated Acute Type B Aortic Dissection
Bibliographic record
Abstract
Background: Extended downstream endovascular management has been applied in acute complicated type B aortic dissection (acTBAD), distally to standard thoracic endovascular aortic repair (TEVAR), using bare metal stents, with or without lamina disruption, using balloon inflation. The aim of this systematic review was to assess technical success, 30-day mortality, and mortality during follow-up in patients with acTBAD managed with the Provisional Extension To Induce Complete Attachment (PETTICOAT) or stent-assisted balloon-induced intimal disruption and relamination (STABILISE) technique. Methods: 5 patients, reporting on technical success, 30-day mortality and mortality during the available follow-up among patients that underwent PETTICOAT or STABILISE technique for acTBAD were eligible. The Newcastle-Ottawa Scale was applied to assess the risk of bias. Primary outcomes were technical success and 30-day mortality, and secondary outcome was mortality during the available follow-up. Results: Thirteen studies were considered eligible, twelve in the quantitative analysis. In total, 418 patients with acTBAD managed with the PETTICOAT (83%) or STABILISE (17%) technique were included. Technical success ranged between 97-100%, 99% for the PETTICOAT and 100% for the STABILISE sub-cohort. Thirty-day mortality was estimated at 3.7% (12/321), 1.4% for the STABILISE and 4.4% for the PETTICOAT technique. All studies reported the mean available follow-up which was estimated at 20 months (range 3-168 months), 22 months (mean value) for the PETTICOAT and 17 months (mean value) for the STABILISE technique. Twenty-three patients died during follow-up, with an estimated mortality rate at 5.7% for the total cohort. The mortality during follow-up was 0% for the STABILISE and 7.0% for the PETTICOAT approach. Conclusions: Both, the PETTICOAT and STABILISE techniques presented less than 4% perioperative mortality in patients with acTBAD with high technical success rate. The mid-term mortality rate was at 6%. However, the heterogeneity in the available studies' highlights the need for further prospective studies, including larger volume and longer follow-up.
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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 | 0.005 | 0.027 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.006 |
| Bibliometrics | 0.008 | 0.009 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".