Outcomes After Treatment of Cervical Intraepithelial Neoplasia Among Women With HIV
Bibliographic record
Abstract
OBJECTIVE: To describe outcomes after treatment of cervical intraepithelial neoplasia (CIN) in women with HIV. MATERIALS AND METHODS: Women in two prospective cohort studies, the Women's Interagency HIV Study (WIHS) and the HIV Epidemiology Research Study (HERS), were followed every 6 months after treatment of CIN using human papillomavirus (HPV) testing and cytology with colposcopy as indicated. Identification of CIN or a squamous intraepithelial lesion (SIL) within 6 months was defined as treatment failure and later disease as recurrence. RESULTS: Follow-up was available for 170 HIV-seropositive and 15 HIV-seronegative women. Treatment failed in 84 (45%) women (79 HIV seropositive and 5 HIV seronegative). Failure was more likely in women with lower CD4 counts (CD4 < 200 cells/microL: odds ratio [OR] = 2.96; 95% CI = 1.4-6.2) and detectable HPV DNA (OR 8.20; 95% CI = 1.8-37.4; p = .01). After successful treatment, recurrence-free probabilities at 1,2, 3, and 5 years were .79, .64, .49, and .34, respectively. HIV-seronegative women were less likely to recur than HIV-seropositive women (p = .03). In multivariable analysis of HIV-positive women, recurrence was more likely among women treated for CIN 2,3 (hazard ratio [HR] = 2.4; 95% CI = 1.4-4.8), those with CD4 count of less than 200 cells/microL (HR = 2.9; 95% CI = 1.3-6.5) and those with HPV after treatment (HR 2.9; 95% CI = 1.4-6.1); oncogenic HPV was more strongly associated with recurrence than nononcogenic HPV (p(trend) = .009). Most failures and recurrences were low grade, but one adenocarcinoma was diagnosed 4.2 years after therapy for CIN 1. CONCLUSION: Treatment failure and recurrence are common in women with HIV but are usually low grade.
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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 | 0.000 |
| 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) | 0.003 | 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 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".