High-grade Non-small Cell Neuroendocrine Carcinoma of the Esophagus
Bibliographic record
Abstract
High-grade neuroendocrine carcinoma (NEC) of the esophagus is an extremely aggressive and rare disease, which is still not well understood. In this case report, we discuss a 73-year-old male patient that presented with the sole complaint of dysphagia to solid foods. During our evaluation of the patient, a six-centimeter esophageal mass was found on esophagogastroduodenoscopy (EGD). A diagnosis of poorly differentiated (high-grade) non-small cell neuroendocrine carcinoma was made after a histological analysis and immunostaining. We attempted to highlight the diagnosis, evaluation process, and treatment options related to this entity. Our review of the literature revealed that further research is needed, focusing on neuroendocrine carcinomas of the esophagus and how this entity differs from some of the more well-known neuroendocrine neoplasms in terms of management.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| 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".