First-in-Human Linear Magnetic Jejuno-Ileal Bipartition: Preliminary Results with Incisionless, Sutureless, Swallowable Technique
Bibliographic record
Abstract
Minimally invasive surgery may be further advanced with the novel biofragmentable magnetic anastomosis compression system. Two magnets may be swallowed, or placed by flexible endoscopy, in a side-to-side magnetic jejuno-ileostomy (MagJI) bipartition for weight and type 2 diabetes (T2D) reduction. MagJI markedly reduces the major complications of enterotomy, stapling/suturing, and retained foreign materials. This was a prospective first-in-human investigation of feasibility, safety, and preliminary efficacy in adults with body mass index (BMI, kg/m 2 ) ≥ 30.0– ≤ 40.0. After serial introduction via swallowing or endoscopy, linear magnets were laparoscopically guided to the distal ileum and proximal jejunum where they were aligned. Magnets fused over 7–21 days forming jejuno-ileostomy. Primary endpoints: feasibility and severe adverse event (SAEs) incidence (Clavien-Dindo grade); secondary endpoints: weight, T2D reduction. Between 3–1 - 2024 and 6–30 - 2024, nine patients (mean BMI 37.3 ± 1.1) with T2D (all on T2D medications; mean HbA1 C 7.1 ± 0.2%, glucose 144.8 ± 14.3 mg/dL) underwent MagJI. Mean procedure time: both magnets swallowed, 86.7 ± 6.3 min; one magnet swallowed with second delivered endoscopically, 113.3 ± 17.0 min. Ninety-day feasibility confirmed in 100.0%: 0.0% bleeding, leakage, infection, mortality. Most AEs grade I–II; no SAEs. At 6-month radiologic confirmation, all anastomoses were patent. Excess weight loss 17.5 ± 2.8 kg; mean BMI reduction 2.2 ± 0.3, HbA1 C 6.1 ± 0.1% ( p < 0.01), glucose 115.5 ± 6.5 mg/dL ( p = 0.19); 83.0% dropped below 6.5% HbA1 C and had markedly reduced anti-T2D medications. The swallowable, biofragmentable magnetic anastomosis system appeared to be feasible and safe in achieving incisionless, sutureless jejuno-ileostomy. The first-in-human MagJI procedure may offer minimally complicated anastomosis creation and moderate MBS weight loss and T2D reduction.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".