CASE REPORT Skin Thickening in a Hemodialysis Patient: A Case of
Bibliographic record
Abstract
Background: Nephrogenic fibrosing dermopathy (NFD), a rare fibrosing condition of the skin, occurs in patients with renal failure. Worldwide, 215 cases have been reported, but none of them are from Canada. Case Report: A 71-year-old woman with hypertensive vasculopathy and renal failure, hypothyroidism, deep vein thrombosis, and a previous abdominal aneurysm repair presented with the rapid development of indurated skin over her arms and legs. These skin changes developed 5 months after starting hemodialysis. Biopsy Results: Skin biopsies demonstrated thickened collagen bundles in the dermis with extension into the subcutaneous tissue and minimal increased mucin production. There were increased fibroblastic cells that were immunohistochemically CD34 positive. Conclusions: This patient has the clinical and pathologic features of NFD. Interestingly, this patient had a history of vein thrombosis and vascular surgery, emphasizing the possible role these features may play as instigators of fibrosis in this disease. Antécédents: La dermopathie nephrogénique fibrosante (DNF) est une affection cutanée fibrosante rare qui survient chez les patients souffrant d’insuffisance rénale. Deux cent quinze cas sont rapportés dans le monde et aucun rapport de cas n’a éte ́ publie ́ au Canada. Rapport de cas: Une femme de 71 ans souffrant de vasculopathie hypertensive, d’insuffisance rénale, d’hypothyroı̈die, d’une thrombose veineuse profonde, et ayant subi la réparation de l’anévrisme de l’aorte abdominale présente un développement rapide
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.006 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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".