A Case Study of Severe Esophageal Dysmotility following Laparoscopic Sleeve Gastrectomy
Bibliographic record
Abstract
Following bariatric surgery, a proportion of patients have been observed to experience reflux, dysphagia, and/or odynophagia. The etiology of this constellation of symptoms has not been systematically studied to date. This case describes a 36-year-old female with severe esophageal dysmotility following LSG. Many treatments had been used over a course of 3 years, and while calcium channel blockers reversed the esophageal dysmotility seen on manometry, significant symptoms of dysphagia persisted. Subsequently, the patient underwent a gastric bypass, which seemed to partially relieve her symptoms. Her dysphagia was no longer considered to be associated with a structural cause but attributed to a "sleeve dysmotility syndrome." Considering the difficulties with managing sleeve dysmotility syndrome, it is reasonable to consider the need for preoperative testing. The question is whether motility studies should be required for all patients planning to undergo a LSG to rule out preexisting esophageal dysmotility and whether conversion to gastric bypass is the preferred method for managing esophageal dysmotility after LSG.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".