Cricopharyngeal and thyropharyngeal myectomy for management of cricopharyngeal achalasia in a 6-month-old coton de Tulear dog.
Bibliographic record
Abstract
A 6-week-old intact female coton de Tulear dog presented to a veterinary teaching hospital (VTH) internal medicine service for dysphagia that was persistent since birth. The patient was diagnosed with cricopharyngeal achalasia based on a fluoroscopic swallow study. To facilitate surgical intervention, a percutaneous endoscopic gastrostomy (PEG) tube was placed to bypass the upper esophageal sphincter and provide nutritional support until the dog was larger. At 6 mo of age, the dog underwent unilateral cricopharyngeal and thyropharyngeal myectomy. Marked improvement in dysphagia was noted immediately postoperatively. Improvement in dysphagia persisted in this dog, with continued marked improvement in clinical signs noted 1 y postoperatively. Key clinical message: Cricopharyngeal achalasia can be successfully managed with surgical intervention with a good long-term prognosis. Before surgical intervention, nutritional support is of critical importance. A combined procedure of cricopharyngeal and thyropharyngeal myectomy may be associated with outcomes superior to those of alternative procedures.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| 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".