Metastatic Squamous Cell Carcinoma From Primary Hypopharynx Source to Gastric Mucosa Presenting as Massive Gastrointestinal Bleeding
Bibliographic record
Abstract
Percutaneous endoscopic gastrostomy (PEG) is a relatively safe procedure that represents an important supportive adjunctive component for patients with primary head and neck squamous cell carcinoma (HNSCC). The HNSCC population is considered a high-risk group for developing critical nutritional deficiency due to a multitude of factors. Nevertheless, as the use of PEG in modern practice is gaining more popularity due to various indications, unusual complications have been increasingly reported. PEG site metastasis from primary HNSCC has emerged as a rare, yet serious oncological phenomenon that warrants careful consideration. The authors report an unusual case of squamous cell carcinoma (SCC) of the hypopharynx that metastasized to the gastric body mucosa through a PEG site. The metastatic SCC presented as massive gastrointestinal bleeding, and esophagogastroscopy revealed an ulcerated mass in the gastric body masquerading as a primary gastric adenocarcinoma. Histopathology and immunohistochemistry examination confirmed metastatic SCC which concurred with the patient's primary hypopharyngeal SCC. The review of the updated literature revealed that a total of 121 cases of this rare oncological entity have been reported to date. Physicians need to be vigilant of the symptoms of PEG site metastasis to accurately diagnose and manage the care of this rare occurrence as it is associated with poor prognosis.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| 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".