Immune Checkpoint Inhibitor Therapy Associated Hypophysitis
Bibliographic record
Abstract
Ipilimumab is a monoclonal antibody directed against CTLA4 T-lymphocyte antigen used as cancer therapy. Immune-related adverse events are common side effects and may include hypophysitis-related hypopituitarism. The clinical features of six patients with ipilimumab-induced hypophysitis (IH) are described. The clinical features of IH reported in clinical trials, including the incidence of IH by gender and the likelihood of adrenal axis recovery, are summarized. Following the development of IH, most patients remain on glucocorticoid replacement despite efforts to withdraw therapy. Analysis of gender information in published clinical trials suggests that men are more prone to developing IH than women, and few patients fully recover the pituitary-adrenal axis function. Ipilimumab and other drugs within its class are likely to be used to treat many forms of cancer. Endocrinologists should anticipate a significant increase in the incidence of autoimmune hypophysitis. Strategies for early detection of IH and long-term management should be considered.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".