A review of the natural history of cervical intraepithelial neoplasia.
Bibliographic record
Abstract
Cervical Intraepithelial Neoplasia (CIN) is a premalignant lesion of cervical squamous cell carcinoma which over time may persist unchanged, regress to normal or a lesser grade of CIN, or progress to a higher grade of CIN or invasive carcinoma. Rates of progression correlate directly with the CIN grade. Human Papilloma Virus (HPV) detection is a significant determinant of CIN regardless of grade. Studies of risk factor profiles, cytogenetic abnormalities, cell proliferation indices, cell cycle and senescence control, oncogene and tumor suppressor gene expression, protein expression, and HPV status have been conducted to identify determinants of CIN I and CIN II/III and predictors of CIN 1 progression. Differences in these attributes suggest that CIN I is a sexually transmitted, productive HPV infection, whereas CIN II/III is a dysplastic lesion resulting from repeated exposure to a sexually transmitted HPV and possibly an additional agent. HPV16 positivity and increased viral load in some earlier studies were predictive of prevalent CIN II/III. More recent studies with more sensitive HPV assays did not corroborate these findings. The role of cigarette smoking is controversial and requires additional study. Accumulating evidence suggests that high risk HPV DNA detection and persistence are predictive of CIN I progressing to CIN II/III. Other possibilities are persistence of a high risk HPV variant, altered cell immunity, and cigarette and oral contraceptive use. Possible biomarkers include aneuploidy, aneusomy of chromosomes 1 and 3, Ras and bcl-2 oncogene over expression, and cytokeratin 13 protein under-expression.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.006 | 0.008 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.005 |
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 source (direct Gemma or distilled Codex), 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".