Treatment of vitiligo with topical ruxolitinib: a narrative review
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Vitiligo is a chronic autoimmune disorder characterized by the selective destruction of melanocytes, leading to depigmented patches of skin. Whilst its pathogenesis is not fully understood, genetic predisposition, environmental triggers, oxidative stress, metabolic dysfunction and impaired cell adhesion are all implicated. Vitiligo occurs in two primary forms - non-segmental and segmental - and affects approximately 0.5-2% of the global population. Beyond its physical manifestations, vitiligo imposes a significant psychosocial burden on patients. Current treatments include topical corticosteroids, calcineurin inhibitors, systemic immunosuppressants and narrowband UVB phototherapy. More recently, Janus kinase (JAK) inhibitors have emerged as promising targeted therapies. Topical ruxolitinib 1.5% cream has been approved by both the FDA and EMA for the treatment of non-segmental vitiligo in adolescents and adults, following its demonstrated efficacy and favourable tolerability in clinical trials. Although some risks, such as infection, malignancy, major adverse cardiovascular events and thrombosis, have been raised due to class-wide JAK inhibition concerns, these events appear to be rare with topical use, as no systemic drug accumulation has been reported. Given its safe and therapeutic profile, ruxolitinib is an effective targeted therapy for non-segmental vitiligo. This narrative study aims to review and synthesize the current evidence on the safety, efficacy and therapeutic impact of topical ruxolitinib cream in vitiligo.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it