Should Pancreatectomy with Islet Cell Autotransplantation in Patients with Chronic Alcoholic Pancreatitis Be Abandoned?
Bibliographic record
Abstract
BACKGROUND: Pancreatectomy or drainage has been advocated for pain due to chronic pancreatitis. Islet cell autotransplantation (IAT) may improve quality of life (QOL); optimal patient selection has not been established. STUDY DESIGN: Outcomes of 100 patients who underwent pancreatectomy with islet isolation between 2005 and 2012 were assessed by etiology (alcoholic pancreatitis [AP] 30%, and nonalcoholic pancreatitis [NAP] 70%). Insulin requirement, Short Form-36, and McGill Pain Questionnaires were assessed. Data were analyzed using SASv9.2. RESULTS: Of the 100 patients, isolation was unsuccessful in 9 patients due to fibrosis. Alcoholic pancreatitis was associated with 7 of 9 failed isolations (23% vs 3%, p < 0.01), and all of these patients are now diabetic. Ninety-one patients (age 44 years, follow-up 19 months, 23% AP) underwent resection with IAT. Total islet yield (islet cell equivalents [IEQ]) and IEQ/kg body weight were less for patients with AP (81,000 vs 150,000, p < 0.01; 1,260 vs 2,190, respectively, p = 0.01) overall and more specifically, for total pancreatectomy (92,000 vs 188,000, respectively, p = 0.02). Twenty-eight (34%) of all patients who had resections and 15% of those undergoing total pancreatectomy are insulin free. Multivariate analysis identified AP as an independent predictor of insulin units/day (p = 0.01). Complete pre- and postoperative QOL and pain surveys were available on 69 patients. Patients with AP had less QOL improvement (1 of 8 vs 5 of 8 domains, p < 0.01) and "present pain" improvement at 2 years from preoperative levels in those with NAP; no improvement in QOL was seen in those with AP (NAP 2.7 to 1.2, p < 0.01; AP 2.7 to 2.2, p > 0.05). CONCLUSIONS: After pancreatic resection with planned IAT, AP resulted in failed isolations, lower yields, higher insulin requirements, poor long-term QOL improvement, and no improvement in pain scores compared with NAP. Further studies should define criteria for resection and IAT for patients with alcoholic chronic pancreatitis.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 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".