High levels of HPV-16 DNA are associated with high-grade cervical lesions in women at risk or infected with HIV
Bibliographic record
Abstract
OBJECTIVE: To examine associations between levels of episomal and integrated human papillomavirus (HPV) 16 DNA and the grade of cervical disease. DESIGN: Cross-sectional data were obtained from a cohort of women with and without HIV infection and with high-risk sexual behaviour. METHODS: Episomal and integrated HPV-16 DNA loads were measured in cervicovaginal lavages collected from 75 women (58 HIV seropositive, 17 HIV seronegative) using real-time polymerase chain reaction assays, controlling for cell content and the presence of inhibitors. RESULTS: HPV-16 viral loads were significantly higher in women with high-grade squamous intraepithelial lesions (n = 6) than in women with normal cytology (n = 44), whether total (10(8.28) versus 10(5.10) HPV-16 DNA copies/microg DNA), episomal (10(7.99) versus 10(4.61)) or integrated (10(7.95) versus 10(4.77)) HPV-16 viral loads were measured (P < 0.02 for each comparison). Thirty-nine women had colposcopy [11 normal cervix, 16 cervical intraepithelial neoplasia (CIN) 1, six CIN 2, six CIN 3] and 24 additional women had three consecutive normal cytology smears. Controlling for age, race, CD4 cell count and HIV status, total (OR 3.5, 95% CI 1.2-10.4; P = 0.02), episomal (OR 2.9, 95% CI 1.2-7.4; P = 0.02,) and integrated (OR 1.6, 95% CI 1-2.6; P = 0.05) HPV-16 DNA loads were significantly associated with CIN 2,3, but the differences between CIN 1 and CIN 2,3 were not significant (P > 0.06). A greater amount of cellular DNA was collected from women with CIN 2,3 (P = 0.007). CONCLUSION: Higher HPV-16 DNA loads are associated with cervical lesions detected by either histology or cytology. No additional information is gained by measuring integrated or episomal over total HPV-16 DNA loads.
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How this classification was reachedexpand
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.015 | 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 teacher head, 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".