Palliative management of a malignant tracheoesophageal fistula using repeat endobronchial laser debridement and esophageal stenting
Bibliographic record
Abstract
A 71-year-old female presented with progressive dysphagia and unexplained weight loss. Computed tomography and esophagogastroduodenoscopy (EGD) revealed invasive esophageal squamous cell carcinoma, which was initially treated with local radiation and esophageal stenting. Over the next year, the patient experienced multiple symptoms and hospital admissions consistent with a malignant tracheoesophageal fistula, despite negative findings on imaging, bronchoscopy, and EGD. Prophylactic antibiotics were initiated based on symptomatology to prevent septic episodes. Stent erosion into the membranous trachea was eventually observed. Neodymium-yttrium-aluminum-garnet laser bronchoscopy was used periodically to debulk the invading tumor around the stent. A percutaneous endoscopic gastrostomy tube was also inserted to facilitate enteral nutrition and avoid aspiration pneumonia. The patient reported significant improvements in respiratory symptoms following each laser debridement and has progressed well beyond the life expectancy associated with malignant tracheoesophageal fistula.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 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".