A Novel Technique for the Management of Pancreaticojejunal Anastomosis Dehiscence following Pancreaticoduodenectomy
Bibliographic record
Abstract
BACKGROUND: To report a novel technique for management of pancreaticojejunal anastomosis dehiscence after pancreaticoduodenectomy. MATERIAL AND METHODS: The anastomosis is disconnected and the blind jejunal limb is shortened and closed. A silicon tube in the pancreatic duct introduced in the first operation is fixed at the pancreatic stump. If no tube was placed during pancreaticoduodenectomy, it is placed at reoperation. The transected edge of the pancreas is stitched, and the distal part of the silicon tube is inserted into the jejunal loop and fixed in the jejunal wall. Drains and a catheter for continuous irrigation are placed. RESULTS: All patients tolerated reoperation and experienced unremarkable postoperative courses. Follow-up ranged from 5 to 27 months, and all patients exhibited normal pancreatic function and no pseudocyst formation. CONCLUSION: This technique is an effective method for management of pancreaticojejunal anastomosis dehiscence that avoids complications associated with completion pancreatectomy and preserves pancreatic function.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".