Postcolposcopy Management of Women With Histologically Proven CIN 1
Bibliographic record
Abstract
OBJECTIVES: This study aimed to determine during 36 months of follow-up the (1) clinical outcomes and (2) influence of high-risk human papillomavirus (HPV) status on the risk of progression to cervical intraepithelial neoplasia 2+ (CIN 2+), among women with histologically proven CIN 1. MATERIALS AND METHODS: This is an ad hoc analysis of women with CIN 1 within TOMBOLA, a randomized trial of the management of women with low-grade cervical cytology. Women from the colposcopy arm with CIN 1 confirmed on punch biopsies and managed conservatively by cytology every 6 months in primary care were included. Sociodemographic data and a sample for HPV testing were collected at recruitment. Data on the sample women were extracted to calculate the cumulative incidence of CIN 2+ and the performance characteristics of the baseline HPV test. Detection of CIN 2 or worse (CIN 2+) during follow-up or at exit colposcopy was analyzed. RESULTS: A total of 171 women were included. Their median age was 29 years. Fifty-two percent were high-risk HPV positive, 17% were HPV-16 positive, and 11% were HPV-18 positive. Overall, 21 women (12%) developed CIN 2+, with a median time to detection of 25 months. Factors associated with progression to CIN 2+ were presence of HPV-18 (relative risk = 3.04; 95% CI = 1.09-8.44) and HPV-16 and/or HPV-18 at recruitment (relative risk = 3.98; 95% CI = 1.60-9.90). The sensitivity and specificity of a combined HPV-16/HPV-18 test for the detection of CIN 2+ during 3 years were 58% and 78%, respectively. CONCLUSIONS: Our results suggest that women with confirmed CIN 1 have low rates of progression to high-grade CIN within 3 years. Because the median time to progression was 25 months, conservative management could recommend the next repeat cytology at 2 years.
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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) | 0.000 | 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) | 0.008 | 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".