Scarring Alopecia in Tumor Necrosis Factor-α Antagonists-Induced Scalp Psoriasis
Bibliographic record
Abstract
Background: A broad spectrum of adverse reactions associated with the use of tumor necrosis factor alpha (TNFα) antagonists has been recognized over the past years. Induction of scalp psoriasis is a less known undesirable consequence of the use of these drugs and is not well characterized. Objective: To characterize TNFα inhibitors-induced psoriatic alopecia. Methods: We studied 6 patients with TNF-inhibitor induced psoriatic alopecia and reviewed 28 patients with this condition reported in the literature to date. Results: In addition to severe scalp psoriasis, we report hair follicle pathologies ranging from alopecia areata to scarring alopecia. Prognosis was good, but discontinuation of TNFα inhibitors was required in more than half of the cases in order to achieve a favourable outcome. Conclusion: TNFα inhibitors-associated psoriatic alopecia is rarely reported but requires a high index of suspicion and prompt diagnosis, as timely intervention may prevent irreversible damage.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".