Effects of Medical Therapy on Pituitary Tumors
Why this work is in the frame
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Bibliographic record
Abstract
Previously surgery and irradiation were the only available procedures to treat patients with pituitary tumors. During the last few decades, novel drugs such as dopamine agonists and long-acting somatostatin analogs were developed and, an alternative medical therapy emerged. This paper summarizes the effect of medical therapy on the morphologic features of pituitary tumors and illustrates the ultrastructural alterations on electron micrographs. Currently drugs can be used in the management of pituitary tumors secreting GH, PRL, and/or TSH in excess. No medical therapy is available so far for ACTH-, FSH-, LH-, or alpha-subunit-secreting tumors as well as non-hormone-secreting pituitary tumors. Dopamine agonists are effective in the management of PRL-secreting tumors; they cause marked reversible tumor shrinkage in the substantial majority of patients. Long-acting somatostatin analogs are useful in the management of GH- and TSH-secreting pituitary tumors; they lead to mild to moderate tumor shrinkage in approximately 50% of cases. In patients treated with these drugs reduction of elevated blood hormone levels and amelioration of clinical symptoms ensue. It should be emphasized that no permanent cure is obtained. Blood hormone levels increase and the clinical symptoms reappear after discontinuation of treatment. Recently GH receptor blockers (pegvisomant) were introduced in the treatment of GH-producing pituitary adenomas. To the authors' knowledge the effect of these drugs on the morphology of pituitary tumors has not been revealed so far.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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