Oral Methotrexate Monotherapy for Severe Alopecia Areata: A Single Center Retrospective Case Series
Bibliographic record
Abstract
BACKGROUND: Although several therapeutic options have been suggested for alopecia areata (AA), none of them are consistently effective, thus making the management of severe or refractory cases challenging. Several studies have recently reported the usage of methotrexate (MTX) in AA; however, the pure effect of MTX monotherapy remains elusive. OBJECTIVE: To evaluate efficacy and safety of oral methotrexate monotherapy for AA. METHODS: We retrospectively reviewed the clinical course of AA patients including pediatric cases treated with MTX monotherapy. Their detailed clinical data including original severity of AA, final treatment outcome, the duration until the maximum response, and side effects, were assessed. Statistical analysis was performed to evaluate if the clinical factors including the duration of current alopecia, age, the presence of body hair loss, and sex were associated with treatment response. RESULTS: All included patients had severe AA and failed standard therapies. Thirteen out of 15 cases demonstrated improvement during the monotherapy, and all responders demonstrated the maximum response within 1 year. Female patients had significantly better outcomes than male patients. Other factors did not significantly influence on the treatment outcome. None of the patients experienced side effects that were severe enough to terminate the treatment. CONCLUSIONS: Our results support MTX monotherapy as a feasible option for severe AA patients who fail other standard therapies or for whom systemic corticosteroids are contraindicated.
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How this classification was reachedexpand
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 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".