Evidence Supporting the Current Management Guidelines for High-Grade Squamous Intraepithelial Lesion Cytology
Bibliographic record
Abstract
OBJECTIVE: The study was undertaken to provide consensus guidelines for the management of women with a cytologic interpretation of high-grade squamous intraepithelial lesion (HSIL) on cytologic examination. This review article presents relevant literature supporting the proposed guidelines. PARTICIPANTS: An independent panel of 121 experts in various aspects of the diagnosis and management of cervical cancer precursors, including representatives from 29 participating professional organizations, federal agencies, national and international health organizations, and others were invited by the American Society for Colposcopy and Cervical Pathology. CONSENSUS PROCESS: Guidelines for the management of women with HSIL cytologic results were developed through a multistep process. Draft management guidelines were developed by the HSIL working group after formal literature reviews and obtained input from the professional community at large by way of an interactive internet-based bulletin board. At the American Society for Colposcopy and Cervical Pathology Consensus Conference, September 6 through 8, 2001, in Bethesda, Maryland, the guidelines were discussed, revised, and adopted by formal vote. CONCLUSIONS: Evidence-based guidelines have been developed for the management of women with HSIL cytologic results.
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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 | 0.046 | 0.202 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.008 | 0.006 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.007 | 0.003 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".