Side-to-side duodeno-colic anastomosis provides dramatic weight loss. A potentially strong anti-diabetic operation for type-2 diabetes
Bibliographic record
Abstract
BACKGROUND: Incomplete bypass of the intestines provides weight loss by hypoabsorption of nutrients and hormonal changes. The aim was to evaluate the efficacy and safety of a side-to-side duodeno-colic anastomosis (DCA) in the short term. METHODS: Seven <50 kg swine were allocated to a DCA, and compared to a sham group. Weights were recorded for 8 weeks and duodenoscopies performed at 8 and 28 days. Complete blood count and basic biochemistry profiles were taken at baseline, day 3 and 56. At necropsy, macroscopic and histological changes of the liver, duodenum and colon samples were analyzed. RESULTS: The DCA group has shown a weight loss of 18.2%, while the control group gained 33.2% more weight at 56 days, for a dramatic difference of 51.4% between the 2 groups (P<0.05). Duodenoscopies demonstrated normal patent anastomosis and adequate lumen without abnormalities at 28 days. Histological anastomosis examination at 56 days showed normal healing, with absence of severe liver toxicity. CONCLUSIONS: In this mammal model with short follow-up, a side-to-side duodeno-colic anastomosis provided rapid efficacious weight loss in the short term.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".