Clinical and Trichoscopy Features in Trichorhinophalangeal Syndrome: A Multicenter Retrospective Study
Bibliographic record
Abstract
INTRODUCTION: Trichorhinophalangeal syndrome (TRPS) is a rare autosomal dominant genetic disorder characterized by trichological, craniofacial, and skeletal abnormalities. To date, limited data are available on hair involvement in TRPS, especially those focusing on trichoscopy. OBJECTIVE: We aimed to describe the epidemiology and the clinical and trichoscopy features of TRPS. METHODS: We performed a retrospective multicenter study using chart review and images from six patients with a confirmed diagnosis of TRPS. Hair density (hair/field; field 13×1.4 mm) was classified as high (>30), medium (21-30), low (11-20), very low (5-10), or hairless (<4). The distance between follicular units, ranging from 1.0 mm to 1.4 mm, was considered normal. RESULTS: Most patients were females, with a median age of 12 at diagnosis. Hair density ranged from very low to medium. All female patients presented a high occipital hairline. Our patients had exclusively non-terminal hairs and no case with high hair density, following the literature, which describes thin and sparse hairs. Hair density was related to a higher proportion of single hair units, while the distance between follicles was within normal limits. CONCLUSION: TRPS is notably uncommon, with hair alterations being important for diagnosis, where trichoscopy serves as a valuable tool. Our study found a normal hair diameter relationship (frontal ≥ occipital) in females, while the male patient exhibited frontal-occipital inversion. Low hair density may result from an increased number of single hair units rather than from follicular distance. The high occipital hairline is proposed as a diagnostic pearl, warranting further studies to validate our findings.
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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) | 0.000 | 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".