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Record W4410386249 · doi:10.1007/s13555-025-01425-y

Real-World Evidence for Baricitinib in the Treatment of Atopic Dermatitis and Alopecia Areata: Systematic Literature Review 2020–2023

2025· review· en· W4410386249 on OpenAlexafffund
Julien Sénéschal, Lgnasi Figueras Nart, Silvia Sabatino, M. Papadimitropoulos, Srishti Dabral, Αναστασία Λαμπροπούλου

Bibliographic record

VenueDermatology and Therapy · 2025
Typereview
Languageen
FieldMedicine
TopicDermatology and Skin Diseases
Canadian institutionsEli Lilly (Canada)
FundersEli Lilly CanadaEli Lilly and Company
KeywordsAlopecia areataAtopic dermatitisDermatologyMedicine

Abstract

fetched live from OpenAlex

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.

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: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.393
Threshold uncertainty score0.972

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0040.000
Bibliometrics0.0000.001
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 head0.056
GPT teacher head0.389
Teacher spread0.333 · 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 designSystematic review
Domainnot available
GenreReview

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
Published2025
Admission routes2
Has abstractyes

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