A new model of reversible obstructive jaundice using rapidly absorbable suture materials
Bibliographic record
Abstract
PURPOSE: Reversible obstructive jaundice models have some limiting features, including the need for a second anaesthesia, re-laparotomy and surgical intervention after common bile duct ligation. The present study investigates the feasibility of a new application that can eliminate these limitations. Rapidly absorbable suture materials were used for ligation; therefore, spontaneous biliary decompression was anticipated by the self release of these rapidly degrading materials. METHODS: Common bile ducts in Wistar Albino rats were ligated with silk, polyglytone 6211, or irradiated polyglactine 910 (n=7 for each group). Rats were grouped according to both the suture materials and the experiments termination date: 5 days (sham, silk5, polyglytone5, polyglactine5) and 21 days (silk21, polyglytone21, polyglactine21) after the ligation. Biochemical and morphologic changes of liver were assessed. RESULTS: The group polyglactine21 showed significantly lower mean ALT, AST, GGT, total and direct bilirubin values when compared with the group polyglactine5 (p=0.004-0.037). Morphologic changes did not correlate with the biochemical amelioration. In the group polyglytone21, not only the biochemical but also the morphologic changes significantly ameliorated when compared with the group polyglytone5 (p=0.003-0.043). No procedure associated mortality was observed. CONCLUSION: Common bile duct ligation with polyglytone offers a new reversible model for prolonged obstructive jaundice which abolishes the need for relaparotomy and a second surgical intervention and significantly reduces mortality.
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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) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".