Human papillomavirus and cervical dysplasia in Nunavut: prelude to a screening strategy
Bibliographic record
Abstract
OBJECTIVES: To determine the prevalence of oncogenic human papillomavirus' (HPV) in Nunavut and to assess the association between HPV and squamous intraepithelial lesions (SIL) as a prelude to planning a better screening strategy. STUDY DESIGN: A cross-sectional study was conducted on the Pap-screened populations in 19 communities in Nunavut, Canada. SIL was determined using Liquid-based cytology, and HPV testing was done using the Hybrid Capture II assay. RESULTS: Prevalence of oncogenic HPVs in 1,290 women ages 13-79 was 26% and of Cervical Dysplasia was 7.2%. Over 90% of women with SIL had positive HPV tests. Over 75% of women who were HPV positive but SIL negative were under 30 years of age. CONCLUSION: Consideration should be given to using liquid-based cytology for Pap testing. Also consider concurrent HPV testing in those over 30 years old and reflex testing of HPV in those under 30 years old with a positive HPV test.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".