LITFULO<sup>TM</sup> (Ritlecitinib) Capsules: A Janus Kinase 3 Inhibitor for the Treatment of Severe Alopecia Areata.
Bibliographic record
Abstract
(ritlecitinib) capsules were recently approved for the treatment of severe alopecia areata in adolescents and adults, aged ≥12 years. Ritlecitinib is the active ingredient and a dual inhibitor of Janus kinase 3 and the tyrosine kinase expressed in hepatocellular carcinoma kinase family. It prevents immune attack on the hair follicles that leads to hair loss. In a phase 2b-3 dose-dependant study, five doses of oral ritlecitinib and placebo administered once daily (QD) were investigated. Ritlecitinib demonstrated efficacy in achieving the primary outcome, Severity of Alopecia Tool (SALT) score of ≤20, at week 24 (31% [38/124] 200-mg ritlecitinib QD for 4 weeks, then 50 mg QD for 20 weeks; 22% [27/121] 200-mg ritlecitinib QD for 4 weeks, then 30 mg QD for 20 weeks; 23% [29/124] 50-mg ritlecitinib QD; 14% [17/119] 30-mg ritlecitinib QD; 2% [1/59] 10-mg ritlecitinib QD; and 2% [2/130] placebo). Mild to moderate common adverse effects were observed, which included headache, nasopharyngitis, and upper respiratory tract infection. The recommended regimen of ritlecitinib capsules is 50 mg QD with without food and swallowed whole.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".