Fully ambulatory robotic single anastomosis duodeno-ileal bypass (SADI): 40 consecutive patients in a single tertiary bariatric center
Bibliographic record
Abstract
BACKGROUND: Single Anastomosis Duodeno-Ileal bypass (SADI) is becoming a key option as a revision procedure after laparoscopic sleeve gastrectomy (LSG). However, its safety as an ambulatory procedure (length of stay < 12 h) has not been widely described. METHODS: A prospective bariatric study of 40 patients undergoing SADI robotic surgery after LSG with same day discharge (SDD), was undertaken in April 2021. Strict inclusion and exclusion criteria were applied and the enhanced recovery after bariatric surgery protocol was followed. Anesthesia and robotic procedures were standardized. Early follow-up (30 days) analyzed postoperative (PO) outcomes. RESULTS: were operated. Median time after LSG was 54 months (21-146). Preoperative comorbidities included: hypertension (n = 3), obstructive sleep apnea (n = 2) and type 2 diabetes (n = 1). Mean total operative time was 128 min (100-180) (mean robotic time: 66 min (42-85)), including patient setup. All patients were discharged home at least 6 h after surgery. There were four minor complications (10%) and two major complications (5%) in the first 30 days postoperative (one intrabdominal abscess PO day-20 (radiological drainage and antibiotic therapy) and one peritonitis due to duodenal leak PO day-1 (treated surgically)). There were six emergency department visits (15%), readmission rate was 5% (n = 2) and reintervention rate was 2.5% (n = 1) There was no mortality and no unplanned overnight hospitalization. CONCLUSIONS: Robotic SADI can be safe for SDD, with appropriate patient selection, in a high-volume center.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".