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Record W4389397353

LITFULO<sup>TM</sup> (Ritlecitinib) Capsules: A Janus Kinase 3 Inhibitor for the Treatment of Severe Alopecia Areata.

2023· article· en· W4389397353 on OpenAlexaff
Aditya Gupta, Shruthi Polla Ravi, Kimberly Vincent, William Abramovits

Bibliographic record

VenuePubMed · 2023
Typearticle
Languageen
FieldMedicine
TopicHair Growth and Disorders
Canadian institutionsMediprobe Research (Canada)University of Toronto
Fundersnot available
KeywordsMedicineAlopecia areataPlaceboAdverse effectUpper respiratory tract infectionHair lossGastroenterologyJanus kinaseTyrosine-kinase inhibitorInternal medicineRegimenJanus kinase inhibitorDermatologyPathologyCancer
DOInot available

Abstract

fetched live from OpenAlex

(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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.896
Threshold uncertainty score0.551

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.034
GPT teacher head0.252
Teacher spread0.218 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
Domainnot available
GenreEmpirical

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".

Quick stats

Citations5
Published2023
Admission routes1
Has abstractyes

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