HIV Dermatology in Canada: Cutaneous Disease Burden and Demographic Characteristics of a Specialized Urban Practice
Bibliographic record
Abstract
BACKGROUND: The introduction of antiretroviral therapies has changed the pattern of cutaneous disease in individuals infected with human immunodeficiency virus (HIV). OBJECTIVE: To assess demographic characteristics, severity of immunosuppression, and frequency of dermatologic disorders in patients presenting to a Canadian specialized HIV dermatology practice. METHODS: A cross-sectional study was performed of 183 consecutive outpatient and inpatient consultations to a single HIV dermatology practice from January 2007 to December 2008. RESULTS: One hundred sixty-three (88%) patients were male, with an average age of 45. Forty-six patients were not on antiretroviral therapy. Verruca was the most common diagnosis, seen in 29 patients, followed by dermatophyte infection, seen in 27. Patients with a low CD4 count (p = .0001) and a high viral load (p = .0043) were more likely to present with an HIV-specific dermatosis. CONCLUSION: Cutaneous infections were the most common diagnoses in this cross section. Classic HIV dermatoses were seen more frequently in those with more advanced disease owing to HIV infection.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".