Efficacy of submucosal bupivacaine injection for pain relief after endoscopic submucosal dissection
Bibliographic record
Abstract
BACKGROUND AND AIM: Although abdominal pain is a common adverse event related to endoscopic submucosal dissection (ESD), it can be sometimes underestimated by endoscopists. There are some endoscopic interventions available for the prevention of post-ESD pain, but their efficacy has not been established. We investigated whether a submucosal injection of bupivacaine (BP) can reduce procedure-related abdominal pain compared with the standard method. METHODS: We performed a multicenter, double-blinded, randomized controlled trial of 86 adult patients referred for ESD as treatment for gastric neoplasms. Patients were randomly assigned to either the BP submucosal or conventional solution group. Questionnaires were collected when the study began (baseline) and immediately after ESD, as well as at 6, 12, and 24 hours post-operatively. The primary outcome was indicated by the visual analog scale (VAS) evaluated at 6 hours after procedure. RESULTS: There were no significant differences in primary outcomes between groups and among all time points (immediately, 12, and 24 hours after ESD). The VAS and short-form McGill pain (SF-MP) scores were higher immediately after ESD than at 6, 12, or 24 hours post-operatively. The incidence of abdominal pain immediately after ESD was 94.0% (78/83) for all patients of both groups, and there was no significant difference between the 2 groups in the rate of abdominal pain immediately after ESD (BP group 37/40 [92.5%] versus non-BP group 41/43 [95.3%], P = .934). In univariable and multivariable analyses, BP did not have protective effect on post-ESD abdominal pain. CONCLUSIONS: Submucosal BP injection does not promote pain relief or mitigate the effects of post-ESD abdominal pain.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".