Break Dancing: A New Risk Factor for Scarring Hair Loss
Bibliographic record
Abstract
BACKGROUND: We report on a first case of lichen planopilaris (LPP) mimicking androgenetic alopecia (AGA) in an individual who has been break-dancing on his head for many years. LPP is an autoimmune inflammatory scalp condition that when left untreated can result in scarring and irreversible hair loss. The etiology of LPP is unknown. Different treatment modalities are used for LPP and AGA. OBJECTIVE: To increase the awareness of physicians to the possibility of scarring hair loss (LPP) presenting like AGA. RESULTS: Scalp examination showed scarring patches of hair loss. A scalp biopsy confirmed the diagnosis of LPP. CONCLUSION: Chronic scalp trauma due to break dancing may be a trigger for LPP. A meticulous scalp examination should be performed before making a diagnosis of nonscarring conditions of hair loss such as AGA. Early recognition of LPP and appropriate treatment are important before scarring and irreversible hair loss ensue.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".