Sleeve gastrectomy with duodenoileal bipartition using linear magnets: feasibility and safety at 1-year follow-up
Bibliographic record
Abstract
Single-anastomosis metabolic/bariatric surgery procedures may lessen the incidence of anastomotic complications. We evaluated the feasibility and safety of performing side-to-side duodeno-ileal (DI) bipartition using magnetic compression anastomosis (MCA). Preliminary efficacy, quality of life, and distribution of food through the DI bipartition were also evaluated. Patients with body mass index (BMI]) ≥35.0–50.0 underwent side-to-side DI bipartition with the Magnet Anastomosis System (MS) with sleeve gastrectomy (SG). By endoscopic positioning, a distal magnet (250 cm proximal to the ileocecal valve) and proximal magnet (first part of duodenum) were aligned with laparoscopic assistance to inaugurate MCA. An isotopic study assessed transit through the bipartition. March 14–June 1, 2022, 10 patients (BMI 44.2±1.3) underwent side-to-side MS DI; in 9/10 patients a SG was performed concurrently. Median operative time, 161.0 min (108.0-236.0); median hospital stay, 3 days (2-40). Paired magnets were expelled at a median of 43 days (21-87). No device-related serious advanced events within 1 year. All anastomoses were patent with satisfactory diameters after magnet expulsion and at 1 year. Respective BMI, BMI reduction, and total weight loss was 28.9±1.8, 15.2±1.8, 34.2±4.1 70.0% of patients reported they were very satisfied. Isotopic study found a median of 19.0% of the meal transited through the ileal loop. Side-to-side magnetic compression anastomosis duodeno-ileal bipartition with SG in adults with class II-III obesity was feasible, safe, and efficient with good quality of life at 1-year follow-up. Nineteen percent of ingested food passed directly into the ileum. The protocol was registered at Clinicaltrials.gov (#NCT05322122) prior to conducting the study.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".