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Record W2401445293 · doi:10.1177/120347541201600408

Vitiligo and Associated Autoimmune Disease: Retrospective Review of 300 Patients

2012· article· en· W2401445293 on OpenAlexaffabout
Jakub Sawicki, Sanjay Siddha, Cheryl F. Rosen

Bibliographic record

VenueJournal of Cutaneous Medicine and Surgery · 2012
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
Topicmelanin and skin pigmentation
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMedicineVitiligoDermatologyDiseaseAutoimmune diseaseRetrospective cohort studyImmunologyPathology

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.062
Threshold uncertainty score0.222

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.011
GPT teacher head0.260
Teacher spread0.249 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations38
Published2012
Admission routes2
Has abstractyes

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