Comparative Risk of High-Grade Histopathology Diagnosis After a CIN 1 Finding in Endocervical Curettage Versus Cervical Biopsy
Bibliographic record
Abstract
OBJECTIVE: No evidence-based clinical management recommendations exist for women with an endocervical curettage (ECC) cervical intraepithelial neoplasia grade 1 (CIN 1) result when the concurrent cervical biopsy is not high-grade. For women with these pathologic findings, we assessed their short-term risk of high-grade histopathologic diagnosis in the Calgary Health Region where ECC was routinely performed. MATERIALS AND METHODS: We analyzed pathology and colposcopy reports from 1,902 referral colposcopies where both ECC and biopsies were normal or CIN 1. We calculated the short-term risk of CIN 2 or more severe (CIN 2+) detected 12 to 24 months after colposcopy. Pearson χ tests or Fisher exact tests were used to compare risks of a CIN 2+ diagnosis between combinations of test results and strata of risk factors. RESULTS: The short-term risk of CIN 2+ was the same after a CIN 1 biopsy and CIN 1 ECC (4.9% of 1,389 vs 5.0% of 359, respectively, p = .37). Compared with low-grade referral cytology, the risk of CIN 2+ after high-grade cytology was elevated significantly for CIN 1 ECC (13.3% vs 3.3%, p < .01) and nonsignificantly for CIN 1 biopsy (7.1% vs 4.6%, p = .12). CONCLUSIONS: After low-grade cytology, the short-term risk of a high-grade histologic diagnosis in women with either CIN 1 ECC or biopsy is equivalent, suggesting similar management. A CIN 1 ECC may warrant different management in the context of high-grade referral cytology.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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".