Real-World Evidence for Baricitinib in the Treatment of Atopic Dermatitis and Alopecia Areata: Systematic Literature Review 2020–2023
Bibliographic record
Abstract
INTRODUCTION: Baricitinib is an oral selective Janus kinase 1/2 inhibitor approved for the treatment of the immune-mediated inflammatory skin diseases atopic dermatitis (AD) and alopecia areata (AA). We report the findings of a systematic literature review of real-world outcomes with baricitinib in patients with AD or AA. METHODS: Databases, conference proceedings, and other sources were searched for publications covering July to November 2023 that provided real-world evidence in baricitinib-treated patients; extracted study variables included study population characteristics, interventions, and outcomes. RESULTS: In total, 76 publications meeting inclusion criteria were identified, most of which were single-centre studies; 1134 unique patients with AD and 598 unique patients with AA were included. Studies in AD mostly focused on effectiveness outcomes, followed by treatment patterns, patient-reported outcomes, and safety. Most AA publications focused on effectiveness outcomes, followed by safety then treatment patterns. CONCLUSION: Overall, baricitinib consistently improved the signs and symptoms of AD in patients receiving baricitinib in real-world settings, was effective for the treatment of AA in both adult and paediatric patients and was associated with improvements in patient-reported outcomes. The most common reasons for baricitinib discontinuation in AD were ineffectiveness and adverse events, although discontinuation rates due to adverse events were low. Patients initiating baricitinib for AD had often been treated previously with a biologic and were frequently receiving immunosuppressive and topical treatments before treatment initiation. Treatment discontinuation and prior treatment data were limited for studies in AA, but several studies reported concomitant minoxidil use in patients with AA treated with baricitinib. No new safety signals for baricitinib were observed in patients with AD or AA, and no serious adverse events were reported. In conclusion, real-world data on baricitinib in the treatment of AD and AA support the effectiveness and tolerability reported in clinical trials.
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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 | 0.011 | 0.050 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.008 | 0.010 |
| Bibliometrics | 0.014 | 0.012 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".