Ritlecitinib for the Management of Alopecia Areata: A Narrative Review of Real-World Evidence and Selected Post Hoc Analyses

Introduction: Alopecia areata (AA) is a chronic immune-mediated disorder characterized by non-scarring hair loss and a significant psychosocial burden. Ritlecitinib, a selective Janus kinase 3 (JAK3) and tyrosine kinase expressed in hepatocellular carcinoma (TEC) family kinase inhibitor, has recently emerged as a targeted systemic therapy for moderate-to-severe AA. While randomized clinical trials have demonstrated its efficacy, real-world evidence remains limited and heterogeneous. Methods: A structured narrative review was conducted to summarize current evidence on ritlecitinib in AA, with a focus on real-world outcomes. A comprehensive search of PubMed/MEDLINE, Scopus, Embase, and Cochrane Library was performed up to March 2026 using predefined keywords. Eligible studies included real-world observational studies, case series, and post hoc analyses of randomized controlled trials reporting clinical outcomes. Two independent reviewers performed study selection. Results: A total of 14 studies were included. Clinical trial analyses suggested sustained efficacy over time, with progressive improvement in Severity of Alopecia Tool (SALT) scores up to 24 months. Real-world studies reported clinically meaningful hair regrowth across diverse populations, including severe, pediatric, and treatment-experienced patients. Response rates increased over time, with a proportion of patients achieving SALT ≤ 20 or ≥80% improvement. Lower baseline severity and shorter disease duration were reported in several studies as potential factors associated with a better response. Safety profiles were favorable, with predominantly mild adverse events. Discussion: Ritlecitinib shows consistent effectiveness and acceptable safety in both clinical trials and real-world settings. Treatment response appears progressive and heterogeneous, supporting the importance of early intervention and adequate treatment duration. Further large-scale and long-term real-world studies are needed to better define predictors of response and optimize patient selection.