Pasireotide treatment significantly improves clinical signs and symptoms in patients with Cushing's disease: results from a Phase <scp>III</scp> study
Bibliographic record
Abstract
OBJECTIVE: Signs and symptoms of Cushing's disease are associated with high burden of illness. In this analysis, we evaluated the effect of pasireotide treatment on signs and symptoms in patients with Cushing's disease. DESIGN: Phase III study with double-blind randomization of two pasireotide doses. METHODS: Patients (n = 162) with persistent/recurrent or de novo Cushing's disease and urinary free cortisol (UFC) levels ≥1·5× upper limit of normal (ULN) were randomized to receive subcutaneous pasireotide (600/900 μg bid). At month 3, patients with UFC ≤2 × ULN and not exceeding the baseline value continued their randomized dose; all others received 300 μg bid uptitration. At month 6, patients could enter an open-label phase until month 12 with a maximal dose of 1200 μg bid. Changes in signs and symptoms of hypercortisolism over 12 months' treatment in patients still enroled in the study and with evaluable measurements were assessed in relation to degree of UFC control. RESULTS: Reductions in blood pressure were observed even without full UFC control and were greatest in patients who did not receive antihypertensive medications during the study. Significant reductions in total cholesterol and low-density lipoprotein (LDL)-cholesterol were observed in patients who achieved UFC control. Reductions in BMI, weight and waist circumference occurred during the study even without full UFC control. Adverse effects were typical of somatostatin analogues except for hyperglycaemia-related events, which were experienced by 72·8% of patients. CONCLUSIONS: In the largest Phase III study of medical therapy in Cushing's disease, significant improvements in signs and symptoms were seen during 12 months of pasireotide treatment, as UFC levels decreased.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.002 | 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".