A novel method of endoscopic-assisted esophageal clearance in advanced achalasia
Bibliographic record
Abstract
BACKGROUND AND STUDY AIMS: In order to perform peroral endoscopic myotomy (POEM) safely, retained liquid and food debris must be removed before the procedure is started. We developed a novel technique using a super-slim gastroscope, and a gastric tube to remove retained food debris in achalasia patients. In this study, the safety and efficacy of this novel technique were investigated. PATIENTS AND METHODS: Eleven patients with achalasia were enrolled in this study and underwent this novel method for esophageal clearance. RESULTS: All patients had complete clearance of the retained food debris using this method. The median procedure time (range) was 13 (6 - 30) minutes. There were no serious adverse events (AEs) and one minor AE of mucosal erythema due to mucosal suctioning. CONCLUSION: This novel method for esophageal clearance is safe and effective in achalasia patients with large amounts of retained food debris.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".