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Record W4412600525 · doi:10.25251/2cx1vk07

Real-World Ritlecitinib Treatment of Severe Alopecia Areata (AA) in the US: Patient Characteristics and Physician Satisfaction

2025· article· en· W4412600525 on OpenAlexaff
Samantha K. Kurosky, Ashley S. Cha-Silva, Jenny Austin, Arash Mostaghimi, Chesahna Kindred, G. Gautier, Grace O’Neill, Mojgan Sadrarhami, Alexa Russnak, Peter Anderson, Benjamin Ungar

Bibliographic record

VenueSKIN The Journal of Cutaneous Medicine · 2025
Typearticle
Languageen
FieldMedicine
TopicHair Growth and Disorders
Canadian institutionsPfizer (Canada)
FundersIncyteSanofiPfizer
KeywordsAlopecia areataDermatologyPatient satisfactionMedicineFamily medicineNursing

Abstract

fetched live from OpenAlex

Ritlecitinib, a JAK3/TEC family kinase inhibitor, is indicated for severe AA in patients aged ≥12 years in the US. This study describes characteristics of ritlecitinib initiators and treatment satisfaction and success. Adults ≥18 years with severe/very severe AA at ritlecitinib initiation were selected from the Adelphi Real World AA Disease Specific Programme™. This database is a cross-sectional survey of dermatologists and their AA patients [11/2023–06/2024], capturing demographics, clinical characteristics, treatment history and satisfaction, and AA impact. Subgroup analysis was conducted on patients who initiated ritlecitinib ≤2 months of the survey to assess psychosocial burden around the time of treatment initiation. 123 adults were eligible (mean age: 37.1 years, 57% male, 79% white, and 88% commercial insurance). Mean disease duration was 2.1 years. At ritlecitinib initiation, mean scalp hair loss was 71% (n=93); 73% had worsening AA. Common treatment goals were reducing hair loss (94%), improving quality-of-life (41%), and achieving long-term control (32%) (n=123). Among those who reported reasons for selecting ritlecitinib, the most common factors were its ability to reduce scalp hair loss (38%), reasonable cost-benefit ratio (28%), good overall safety profile (25%), and that it is safe for long-term use (25%). Ritlecitinib treatment duration varied among those with known treatment duration (n=111): <3 months, 33%; 3-6 months, 36%; >6 months, 31%. Among those with treatment line data (n=102), ritlecitinib was the first AA treatment for 46% of patients. Among those treated with prior AA therapies (n=60), 18% received another JAK inhibitor before ritlecitinib. Proportions of patients with hair regrowth increased with treatment duration (<3 months, 49%; 3-6 months, 72%; >6 months, 82%). Physician satisfaction with AA control was 54%, 68%, and 85% after <3, 3-6, and >6 months of ritlecitinib. 89% of patients had improving/stable hair regrowth at the time of the survey. Physicians reported treatment success for 68% in the >6-month group (n=34), but felt it was still too early to tell for 29% of patients. Among recent ritlecitinib initiators (n=26), dermatologists reported 69% of patients learned to cope with their AA; however, 84%, 73%, and 65% still reported moderate/severe embarrassment, frustration, and anxiety due to their AA, respectively. Despite many patients coping with AA, dermatologists reported substantial emotional and daily life impacts due to AA before initiating ritlecitinib. Ritlecitinib was chosen for efficacy, safety profile, and cost-benefit ratio. Hair regrowth, physician satisfaction, and perceived treatment success increased with treatment duration. While selection bias should be considered, results indicate the importance of sustained treatment for the management of patient expectations.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.722
Threshold uncertainty score0.286

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 head0.009
GPT teacher head0.271
Teacher spread0.261 · 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 designObservational
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

Citations1
Published2025
Admission routes1
Has abstractyes

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