Cronkhite-Canada 증후군 환자 1예에서 발생한 미만성탈모증의 임상, 병리적 특징
Bibliographic record
Abstract
Although hair loss in Cronkhite-Canada syndrome (CCS) developed frequently, its exact mechanism has not been elucidated. Thus, we attempted to investigate the histopathologic features of hair loss with scalp biopsy in one case of CSS. The patient complained of persistent diarrhea and diffuse hair loss of the scalp 1 month prior to the hospital visit. CCS has been already diagnosed through colonoscopy and medical examination. Scalp biopsy was performed to evaluate hair loss of the patient, and pathologic examination showed increased telogen hairs (anagen to telogen is 7:8) without specific dermal inflammation and miniaturization of hair follicles. The patient was treated with topical and systemic steroids, and hair loss has almost completely recovered in 5 months. In this case, we investigated the clinical and pathological features of hair loss through scalp biopsy in one case of CCS and reported them with a review of the literature. (Korean J Dermatol 2019;57(7):391∼394)
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.046 | 0.013 |
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; both teacher heads agree on what is shown here.
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".