Functional and Medical Outcomes After Tailored Surgery for Pain Due to Chronic Pancreatitis
Bibliographic record
Abstract
OBJECTIVE: We measured a comprehensive set of outcome measures after different surgical procedures for painful chronic pancreatitis (CP) at long-term follow-up. BACKGROUND: Pain caused by CP can be alleviated through operative intervention with type of procedure depending on anatomical abnormalities. Outcome measures include functional (pain relief, quality of life [QoL]), medical (endo- and exocrine function), and clinical (reoperation) results reported by patient. METHODS: A cross-sectional cohort of 223 consecutive patients who underwent surgical drainage, head resection, or left-sided pancreas resection, depending on anatomical abnormalities, was analyzed. Participating patients were reassessed during a prospectively scheduled outpatient clinic visit. RESULTS: At follow-up, 44 patients had died; 146 of 179 living patients consented to participate in the study. After 63 months (range: 14-268), 68% reported no or little pain, 19% reported intermediate pain, and 12% reported severe pain. Preoperative daily opioid use (OR: 3.04; 95% confidence interval [CI]: 1.09-8.49) and high numbers of preceding endoscopic procedures (OR [odds ratio]: 3.89; 95% CI: 1.01-14.9) were associated with persistent severe pain. Compared with the general population, physical more than mental QoL remained impaired (P < 0.05). At follow-up, endocrine insufficiency was present in 57% of patients and exocrine insufficiency was present in 77%. Independently, a head resection and a reoperation for any cause were moderately associated with new-onset diabetes (P < 0.1). Compared with patients who underwent left-sided resection, the risk of developing exocrine insufficiency after surgery was higher after drainage or head resection. After 20 months (interquartile range: 10-51) after surgery, 26 (12%) of 223 patients underwent 1 or more elective reoperations. CONCLUSIONS: Operative intervention for painful CP, tailored to anatomical abnormalities, results in excellent to fair long-term pain relief, but approximately 10% of patients do not respond. QoL scores remained slightly compromised. High preoperative pain levels, suggested through daily opioid use and high numbers of endoscopic procedures, are associated with less favorable outcome.
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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 | 0.001 | 0.004 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".