Human papillomavirus prevalence and dynamics
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVES: To estimate the prevalence and dynamics of human papillomavirus (HPV) infection, over a 5-year period, among Saudi women. METHODS: A 2-phase, population-based study combining cross-sectional and cohort designs was carried out with 5360 ever-married women aged 30-65 from Jeddah, Saudi Arabia, between 2013 and 2018. Participants were enrolled in a designated screening program and screened using the hybrid capture 2 HPV test. Women testing positive for HPV were followed up after one year to estimate the HPV clearance rate, while those testing negative had a follow-up after 5 years to assess new HPV infections. Factors associated with HPV positivity and clearance, including sociodemographic and clinical aspects, were analyzed. RESULTS: Participant's mean age was 44.3 and the average marriage duration was 22.6 years. The initial HPV prevalence was 4.7%. After one year, the HPV clearance rate among initially positive women was 84.3%. The rate of new HPV infections among initially negative women after 5 years was 0.2%, resulting in a cumulative HPV prevalence of 5% over the study period. The incidence rate was estimated at 47 per 100,000 person-years. Parity was the only independent factor inversely associated with HPV positivity, with an odds ratio of 0.93 (95% confidence interval: 0.8 - 0.99). CONCLUSION: The prevalence of HPV in Saudi women was relatively low, suggesting a low transmission rate of HPV. This finding indicates the need for continuous monitoring and tailored prevention strategies.
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.
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 | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.018 | 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 it