Sustained Scalp, Eyebrow, and Eyelash Hair Regrowth with Ritlecitinib Through Week 48 in Patients with Alopecia Areata: Post-Hoc Analysis of the ALLEGRO Phase 2b/3 Study
Bibliographic record
Abstract
Sustained scalp, eyebrow, and eyelash hair regrowth with ritlecitinib through Week 48 in patients with alopecia areata: post hoc analysis of the ALLEGRO phase 2b/3 study BACKGROUND • Alopecia areata (AA) is an autoimmune disease that has an underlying immuno-inflammatory pathogenesis and is characterized by nonscarring hair loss ranging from small patches to complete scalp, face, and/or body hair loss 1 • Ritlecitinib, an oral JAK3/TEC family kinase inhibitor, demonstrated efficacy and safety in patients aged ≥12 years with AA and ≥50% scalp hair loss in the ALLEGRO phase 2b/3 trial (NCT03732807) 2 -Significant improvements in the proportion of patients with Severity of Alopecia Tool (SALT) score ≤20 (≤20% of scalp without hair) at Week 24 (primary endpoint) were observed in the 50 mg and 30 mg ritlecitinib treatment groups (± 200 mg loading dose) vs placebo OBJECTIVE • This post hoc analysis evaluated sustained scalp, eyebrow, and eyelash hair regrowth over 48 weeks in ritlecitinib-treated patients who had a clinical response at Week 24
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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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.004 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".