Randomized, Double-Blind, Controlled Trial of Early Endoscopic Ultrasound–Guided Celiac Plexus Neurolysis to Prevent Pain Progression in Patients With Newly Diagnosed, Painful, Inoperable Pancreatic Cancer
Bibliographic record
Abstract
PURPOSE: Celiac plexus neurolysis (CPN) is currently used as salvage therapy for morphine-resistant pancreatic cancer pain. Endoscopic ultrasound-guided CPN (EUS-CPN) can be performed early, at the time of EUS. We hypothesized that early EUS-CPN would reduce pain and morphine consumption, increase quality of life (QOL), and prolong survival. PATIENTS AND METHODS: Patients were eligible if referred for EUS for suspected pancreatic cancer with related pain. If EUS and EUS-guided fine-needle aspiration cytology confirmed inoperable adenocarcinoma, patients were randomly assigned to early EUS-CPN or conventional pain management. Pain scores (7-point Likert scale), morphine equivalent consumption, and QOL scores (Digestive Disease Questionnaire-15) were assessed at 1 and 3 months. RESULTS: Five hundred eighty eligible patients were seen between April 2006 and December 2008. Ninety-six patients were randomly assigned (48 patients per study arm). Pain relief was greater in the EUS-CPN group at 1 month and significantly greater at 3 months (difference in mean percent change in pain score = -28.9 [95% CI, -67.0 to 2.8], P = .09, and -60.7 [95% CI, -86.6 to -25.5], P = .01, respectively). Morphine consumption was similar in both groups at 1 month (difference in mean change in morphine consumption = -1.0 [95% CI, -47.7 to 49.2], P = .99), but tended toward lower consumption at 3 months in the neurolysis group (difference in mean change in morphine consumption = -49.5 [95% CI, -127.5 to 7.0], P = .10). There was no effect on QOL or survival. CONCLUSION: Early EUS-CPN reduces pain and may moderate morphine consumption in patients with painful, inoperable pancreatic adenocarcinoma. EUS-CPN can be considered in all such patients at the time of diagnostic and staging EUS.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.002 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 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".