Incidence, Persistence, and Determinants of Human Papillomavirus Infection in a Population of Inuit Women in Northern Quebec
Bibliographic record
Abstract
BACKGROUND: To study the incidence, persistence, and determinants of human papillomavirus (HPV) infection in a population of Inuit women from Nunavik, Quebec, by overall HPV infection, Alphapapillomavirus (α) species, and oncogenic risk grouping. METHODS: We recruited a cohort of Inuit women living in communities in Nunavik when they presented for routine care. Baseline sociodemographic and lifestyle characteristics were collected and cervical specimens collected throughout the follow-up period were tested for HPV-DNA using the PGMY Line-blot assay. RESULTS: A total of 416 women were eligible for this analysis. Almost 40% of women acquired a new any-type HPV infection, at a rate of 14.44 infections per 1000 women-months. High-risk HPV infections were acquired at a higher rate than low-risk infections and persisted for longer durations. Multivariate logistic regression found age and marital status to be the most important predictors of overall HPV infection acquisition. Over the study period, 36.1% of women cleared their incident infections. The cumulative incidence of any HPV type at 12 months was 10.3% (95% confidence interval, 7.9-13.1). No predictors of clearance were found. CONCLUSIONS: The high incidence and persistence of HPV infections found demonstrate that this population is at high risk for HPV infection. These data provide a deeper understanding of the HPV infection experience of Inuit women, but they may also help evaluate vaccination strategies currently used for this high-risk population.
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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) | 0.000 | 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".