Efficacy and safety of deuruxolitinib, an oral selective Janus kinase inhibitor, in adults with alopecia areata: Results from the Phase 3 randomized, controlled trial (THRIVE-AA1)
Bibliographic record
Abstract
BACKGROUND: Alopecia areata (AA) is a hair loss disorder that can seriously impact quality of life. Janus kinase (JAK) inhibitors, including deuruxolitinib, have previously demonstrated significant hair regrowth in AA. OBJECTIVE: The Phase 3 THRIVE-AA1 randomized, double-blinded, placebo-controlled trial (NCT04518995) evaluated the safety and efficacy of the oral JAK1/JAK2 inhibitor deuruxolitinib in adult patients with AA. METHODS: Patients aged 18-65 years with ≥50% hair loss were randomized to deuruxolitinib 8 mg twice daily, deuruxolitinib 12 mg twice daily, or placebo for 24 weeks. The primary end point was the percentage of patients achieving a Severity of Alopecia Tool score ≤20. A key secondary end point was the percentage of satisfaction of hair patient-reported outcome responders. RESULTS: Significantly higher proportions of patients taking deuruxolitinib met the primary end point (8 mg 29.6%; 12 mg 41.5% versus placebo 0.8%). Both deuruxolitinib doses achieved significant improvements in all secondary end points versus placebo, including satisfaction of hair patient-reported outcome (8 mg 42.1%; 12 mg 53.0% versus placebo 4.7%). Most treatment-emergent adverse events were mild or moderate, consistent with other oral JAK inhibitors. LIMITATIONS: Further studies are required to understand longer-term safety, efficacy, and impact of treatment cessation. CONCLUSION: Both doses of deuruxolitinib were effective for hair regrowth. Patient satisfaction aligned with hair growth.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".