Hydroxychloroquine for granuloma annulare: A case report on secondary hair growth in alopecia universalis
Bibliographic record
Abstract
Alopecia areata is an autoimmune disease resulting in non-scarring hair loss. Alopecia areata can progress to become alopecia totalis (loss of hair from the entire scalp) or alopecia universalis (loss of hair form the entire body), with the progression estimated to range from 7% to 30%. There are no universally proven therapies that both induce and sustain remission, and furthermore, the course of alopecia areata tends to be unpredictable, with ~80% of patients achieving spontaneous remission within 1 year. We herein present the case of a 61-year-old female who presented with a 20-year history of alopecia universalis, and biopsy confirmed widespread granuloma annulare. Hydroxychloroquine was initiated to treat her granuloma annulare, with subsequent significant hair regrowth on her scalp, eyebrows, eyelashes, and arms. A review of the literature is presented showing that hydroxychloroquine has variable success in treatment of alopecia areata, alopecia totalis, and alopecia universalis.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".