Efficacy and safety of ritlecitinib in adolescents with alopecia areata: Results from the <scp>ALLEGRO</scp> phase 2b/3 randomized, double‐blind, placebo‐controlled trial
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Bibliographic record
Abstract
BACKGROUND/OBJECTIVES: This subgroup analysis of the ALLEGRO phase 2b/3 trial (NCT03732807) evaluated the efficacy and safety of ritlecitinib, an oral, selective dual JAK3/TEC family kinase inhibitor, for the treatment of alopecia areata (AA) in patients aged 12-17 years. METHODS: In ALLEGRO-2b/3, patients aged ≥12 years with AA and ≥50% scalp hair loss received once-daily ritlecitinib 50 or 30 mg (±4-week 200-mg loading dose) or 10 mg or placebo for 24 weeks. In a subsequent 24-week extension period, ritlecitinib groups continued their doses, and patients initially assigned to placebo switched to 200/50 or 50 mg daily. Clinician- and patient-reported hair regrowth outcomes and safety were assessed. RESULTS: In total, 105 adolescents were randomized. At Week 24, 17%-28% of adolescents achieved a Severity of Alopecia Tool (SALT) score ≤20 (≤20% scalp without hair) in the ritlecitinib 30 mg and higher treatment groups versus 0% for placebo. At Week 48, 25%-50% of patients had a SALT score ≤20 across ritlecitinib treatment groups (30 mg and higher). Adolescents reporting that their AA "moderately" or "greatly" improved were 45%-61% in the ritlecitinib groups (30 mg and higher) (vs. 10%-22% for placebo) at Week 24 and 44%-80% at Week 48. The most common adverse events in adolescents were headache, acne, and nasopharyngitis. No deaths, major adverse cardiovascular events, malignancies, pulmonary embolisms, opportunistic infections, or herpes zoster infections were reported. CONCLUSION: Ritlecitinib treatment demonstrated clinician-reported efficacy, patient-reported improvement, and an acceptable safety profile through Week 48 in adolescents with AA with ≥50% scalp hair loss.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it