Psychopathology in Acromegaly—Real and Perceived
Bibliographic record
Abstract
Acromegaly is a chronic condition caused by the excessive production of growth hormone and is characterized by progressive morphological and systemic complications, as well as increased prevalence of psychopathologies, which markedly affect patients' quality of life. The advancing multimodal therapies, while significantly improving the morbidity and mortality, have limited impact on psychopathologies, which often persist despite disease remission. The most common psychopathologies in acromegaly include depression, anxiety and affective disorders, together with sexual dysfunction, which may be considered as either a consequence or potentially even a contributory factor to these psychopathologies. Approximately one-third of patients with acromegaly manifest depression, whereas two-thirds of patients display anxiety, with both conditions tending to be more prevalent and severe in younger patients with shorter duration of disease. Apparently, a major impact of psychological discomfort in women compared with men appears to be the fact that women tend to internalize whereas men tend to externalize their distress. Personality disorders also commonly associated with acromegaly, especially due to body image suffering, are linked to sexual dysfunction, which seems to affect women more than men. In summary, psychopathology in acromegaly is a major determinant of the quality of life and a complex array of psychological abnormalities are associated with acromegaly.
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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 | 0.001 | 0.002 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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, 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".