Lactotroph <scp>PitNET</scp>/adenoma associated to granulomatous hypophysitis in a patient with Crohn's disease: A case report
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Granulomatous hypophysitis is a rare and poorly understood condition. Although certain cases are treated as primary pituitary autoimmune disorders, rare cases may be associated with pituitary neuroendocrine tumours (PitNETs) and systemic inflammatory diseases. Here, we report a case of a 47-year-old man that underwent endoscopic trans-sphenoidal excision of a pituitary mass diagnosed as PitNET. On histologic evaluation, the neoplasm showed an admixture of granulomas with extensive inflammatory infiltrate and lactotroph PitNET/adenoma. Careful anamnestic examination revealed a diagnosis of Crohn's disease 20 years prior. Although rarely done, both PitNET and Crohn's disease may be associated with granulomatous hypophysitis, and our patient had both conditions. During the 6-year follow-up, PitNETs and hypophysitis did not recur, while Crohn's disease was only partially controlled by medical therapy. To our knowledge, this is the first description of association of granulomatous hypophysitis, PitNET and Crohn's disease.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it