Successful treatment of concomitant alopecia universalis and Crohn’s disease with upadacitinib: A case report
Bibliographic record
Abstract
Alopecia areata is a non-scarring, autoimmune hair loss disorder that is associated with inflammatory bowel disease. Alopecia areata and inflammatory bowel disease may have a common pathogenic mechanism that involves the Janus kinase/STAT pathway. In addition, there are previous case reports of patients who developed alopecia areata while on biologic therapies for inflammatory bowel disease. JAK1 inhibitors are currently undergoing investigation as potential therapies for Crohn's disease. Upadacitinib, an oral JAK1 inhibitor, has demonstrated efficacy in treating Crohn's disease during phase III clinical trials. In this case report, we present a 23-year-old man with Crohn's disease who previously developed alopecia areata while on adalimumab. He had near-complete resolution of his alopecia universalis after 7 months of treatment with upadacitinib while on concurrent ustekinumab for Crohn's disease, which he had been taking for 16 months prior to starting upadacitinib. Upadacitinib may be a beneficial therapy for treating concomitant alopecia areata and Crohn's disease.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.005 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".