Oral Human Papillomavirus Infection and Oral Lesions in HIV-Positive and HIV-Negative Dental Patients
Why this work is in the frame
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Bibliographic record
Abstract
We evaluated the risk factors associated with oral human papillomavirus (HPV) infection and oral lesions in 161 human immunodeficiency virus (HIV)-positive patients and 128 HIV-negative patients presenting for oral examination at 2 urban healthcare centers. Patients were interviewed on risk factors and provided oral-rinse samples for HPV DNA typing by polymerase chain reaction. Statistical associations were assessed by logistic regression. Oral HPV was prevalent in 32% and 16% of HIV-positive patients and HIV-negative patients, respectively, including high-risk HPV type 16 (8% and 2%, respectively; P = .049) and uncommon HPV types 32/42 (6% and 5%, respectively; P = .715). Among HIV-negative patients, significant risk factors for oral HPV included multiple sex partners (≥21 vs ≤5; odds ratio [OR], 9.1; 95% confidence interval [CI], 1.7-49.3), heavy tobacco smoking (>20 pack-years vs none; OR, 9.2; 95% CI, 1.4-59.4), and marijuana use (OR, 4.0; 95% CI, 1.3-12.4). Among HIV-positive patients, lower CD4(+) T-cell count only was associated with oral HPV detection (≤200 vs ≥500 cells/mm(3); OR, 4.5; 95% CI, 1.3-15.5). Detection of high-risk HPV was also associated with concurrent detection of potentially cancerous oral lesions among HIV-negative patients but not among HIV-positive patients. The observed risk factor associations with oral HPV in HIV-negative patients are consistent with sexual transmission and local immunity, whereas in HIV-positive patients, oral HPV detection is strongly associated with low CD4(+) T-cell counts.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it