Has the Introduction of Laparoscopic Heller Myotomy Altered the Treatment Paradigm of Achalasia?
Bibliographic record
Abstract
Although surgical myotomy is well established as the most effective and durable treatment for achalasia, wide acceptance of this procedure as a first-line treatment has been hampered by perceived invasiveness and morbidity. Laparoscopic myotomy has significantly reduced surgical trauma and morbidity while maintaining effectiveness. The effect of laparoscopic myotomy on the treatment pattern for achalasia is not currently known. All patients undergoing surgical myotomy in Quebec from 1997 to 2002 were identified from the Régie de l'assurance maladie du Québec billing database; previous endoscopic treatment was documented from 1990 to the time of surgery. Patients were divided into two groups (prelaparoscopy and postlaparoscopy) defined by the approximate date when laparoscopic myotomy became generally available in Quebec. A questionnaire examining treatment preference for achalasia was sent to all Quebec gastroenterologists. The number of myotomies performed in Quebec remained stable (prelaparoscopy = 28.7/year; postlaparoscopy = 33/year), but were performed on an older population. The rate of preoperative endoscopic treatment did not differ from prelaparoscopy (29.2%) to postlaparoscopy (23.3%). However, the time interval between the last endoscopy and myotomy diminished significantly. Questionnaire response rate was 41% (60 of 147). Although myotomy was recognized as the most effective treatment (54 of 60), only 22 of 60 gastroenterologists would refer a healthy patient for myotomy as initial treatment. Other choices included dilation (33 of 60), Botulinum toxin (two of 60) or calcium channel blockade (three of 60). Despite a decrease in time interval between endoscopic treatment and surgery, no decrease in the rate of existing endoscopic therapies occurred after laparoscopic myotomy became widely available. The benefits and minimal risks associated with laparoscopic myotomy need to be more effectively communicated by referring physicians.
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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 | 0.007 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".