A primer on pituitary injury for the obstetrician gynecologist: Simmond's disease, Sheehan's Syndrome, traumatic injury, Dahan's Syndrome, pituitary apoplexy and lymphocytic hypophysitis
Bibliographic record
Abstract
The pituitary gland plays a critical role in reproduction. In response to the hypothalamus the anterior pituitary secretes prolactin, thyroid-stimulating hormone, adreno-corticotropic hormone, follicle-stimulating hormone, luteinizing hormone and growth hormone. Dysregulation in these hormones often lead to reproductive failure. Multiple mechanisms of pituitary injury exist. Simmond's disease is atrophy or destruction of the anterior lobe of the pituitary gland resulting in hypopituitarism. Sheehan's syndrome is post-partum pituitary injury due to massive hemorrhage. Traumatic injury resulting in hemorrhage in a non-pregnancy state can also cause partial or complete pituitary failure. Dahan's syndrome is pituitary injury due to severe vasospasm, without significant hemorrhage. Pituitary apoplexy is infarction of a pituitary adenoma and intra-mass hemorrhage with result injury to hormone production by the gland. Lymphocytic infiltration is the most common cause of hypophysitis and the mechanism is often unknown, although it may be autoimmune-related. The mechanism and treatments of each of these pathologies will be discussed in a context of reproduction.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Review About the Canadian research system: no · About a Canadian topic: no | Not applicable | low |
| gpt | no category Domain: not available · Genre: Review About the Canadian research system: no · About a Canadian topic: no | Other design | high |
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 | 0.007 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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 itClassification
machine, unvalidatedLabeled directly by 2 models reading the full record.
The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.
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".