Vitiligo and Associated Autoimmune Disease: Retrospective Review of 300 Patients
Bibliographic record
Abstract
BACKGROUND: Vitiligo, the most common cutaneous depigmentation disorder, has reported associations with other autoimmune diseases. However, literature on the strengths of the associations is conflicting, and no data on the subject exist from a Canadian population. OBJECTIVE: To determine autoimmune disease associations with vitiligo and which, if any, screening bloodwork is appropriate in vitiligo patients. METHODS: A retrospective review of vitiligo patients admitted to the Toronto Western Hospital phototherapy unit was conducted from January 1, 2000, to August 30, 2009. Data regarding patient characteristics, vitiligo clinical features (family history, age at onset, type, extent), associated diseases in the patient and family, and admission bloodwork (hemoglobin, vitamin B12, thyroid-stimulating hormone [TSH], antinuclear antibody) were recorded and compared, using the Fisher exact test where applicable. RESULTS: A total of 300 patient charts were reviewed (average age 41.5 ± 15.5 years; 47% male, 53% female). Hypothyroidism was present in 12.0% and pernicious anemia in 1.3% of patients-significant increases over the population prevalence. No other differences in prevalence were seen compared to the general population. TSH was increased in 3.7% of patients without a history of hypothyroidism. Hemoglobin and vitamin B12 were decreased in 0.3% of vitiligo patients without a history of pernicious anemia. CONCLUSION: We found a significantly higher prevalence of hypothyroidism and pernicious anemia in vitiligo patients.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".