Osilodrostat dose impact on efficacy/safety in Cushing's disease: large, pooled analysis of LINC 2, 3, and 4
Bibliographic record
Abstract
OBJECTIVES: Evaluate how osilodrostat dose and baseline mean urinary free cortisol (mUFC) affect treatment outcomes and provide evidence-based guidance on personalized medical treatment for patients with Cushing's disease. METHODS/DESIGN: Individual-patient data from the Phase II LINC 2 and Phase III LINC 3 and LINC 4 core and extension periods were pooled, excluding periods when patients received placebo (LINC 3 and LINC 4). Outcomes were evaluated in patients with available data across common time points. RESULTS: Two hundred and twenty-nine patients were treated: starting osilodrostat dose 2 mg twice daily, median average dose per patient 6.8 mg/day for a mean of 113.7 weeks (standard deviation 73.1). mUFC control (not exceeding the upper limit of normal) was achieved within 4-12 weeks in most patients and sustained throughout. Median time to first mUFC control was 35 days, longer with increasing baseline mUFC. Most common dose for first mUFC control was 4 mg/day (33.2% of patients; median dose 10 mg/day [range 2-60]). Adverse events (AEs) generally occurred more often during dose titration (baseline to week 12) than long-term treatment (week >12), but could occur at any time. AEs were manageable in most patients; n = 37 (16.2%) discontinued because of AEs. CONCLUSIONS: In this analysis of the largest and longest prospective interventional studies of an adrenal steroidogenesis inhibitor to date, osilodrostat provided rapid and sustained mUFC control, with dose decreases possible over the long term. AE frequency generally decreased over time, with no relationship with osilodrostat dose. Personalized adjustment of osilodrostat dose is important to optimize outcomes for patients with Cushing's disease. CLINICAL TRIAL REGISTRATION NUMBERS: LINC 2 (NCT01331239); LINC 3 (NCT02180217); and LINC 4 (NCT02697734).
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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 | 0.017 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.008 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| 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".