Multivariate analysis of technical variables in pancreaticoduodenectomy: the effect of pylorus preservation and retromesenteric jejunal position on early outcome.
Bibliographic record
Abstract
BACKGROUND: To evaluate the effect of technical modifications to pancreaticoduodenectomy (PD) on postoperative outcome, we established a register of all patients undergoing PD at Victoria General Hospital (Queen Elizabeth II Health Sciences Centre), a tertiary care, university-affiliated hospital. PATIENTS AND METHOD: Data from 78 consecutive patients who underwent PD from January 1998 through November 2000 were collected for univariate and multivariate analyses of clinical and technical factors on early outcome after PD, including duration of gastric stasis, development of complications and length of hospital stay. RESULTS: Two patients (2.6%) died; complications were recorded in 43 (55%). Upon univariate analysis, 3 factors (a diagnosis of chronic pancreatitis, pylorus preservation, and route of the jejunal limb) significantly affected duration of gastric stasis; but on multivariate analysis, only pylorus preservation and jejunal-limb route remained significant. Retromesenteric jejunal-limb placement was associated with longer periods of gastric stasis (mean 11.9 d, standard deviation [SD] 8.1 d) than the antemesenteric (retrocolic) route (mean 7.2, SD 3.6 d; p < 0.05); likewise pyloric preservation (mean gastric stasis 10.4 d, SD 5.9 d) compared with resection of the pylorus (mean 7.0 d, SD 3.2 d; p < 0.05). Pancreatic leaks occurred in 18% of retromesenteric and 8% of antemesenteric reconstructions (p = 0.3). Fewer patients with mucomucosal pancreaticojejunostomy suffered complications than those with invaginated anastomoses, but their hospital stays were similar in length. CONCLUSION: Route of the jejunal efferent limb and preservation of the pylorus are independent technical variables affecting early outcome after PD.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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".