The effects of genital and reproductive health on the natural history of human papillomavirus infection using data from the Ludwig-McGill cohort study
Bibliographic record
Abstract
Human papillomavirus (HPV) infection is recognized as a necessary cause of cervical cancer. While most HPV infections are asymptomatic and naturally cleared by the immune system, some infections that are not cleared can become persistent, increasing the risk of developing pre-invasive cervical lesions. Worldwide, cervical cancer is the second most common cancer in women with an estimated half million new cases and one quarter million deaths occurring each year. While HPV is a necessary cause of cervical cancer, it is not sufficient and little remains known about the factors that can influence the natural history of HPV infection. Established co-factors of cervical cancer include tobacco smoking, parity, co-infection with HIV and prolonged oral contraceptive use. However, there remains limited information about the characteristics that promote incidence and persistence of HPV infection with respect to genital health/hygiene and local inflammation of the cervix. The Ludwig-McGill cohort study is one of the largest cohort studies looking at the natural history of HPV infection and risk of cervical precancer. Beginning in 1993, 2462 women were recruited from low-income neighbourhoods of São Paulo. Data were collected by nurse-administered questionnaires on recent gynecologic symptoms and treatments, as well as contraceptive methods used. Outcomes were assessed by Pap cytology and molecular HPV DNA testing on cervical specimens collected every four months in the first year and every six months thereafter. Using questionnaire and laboratory data from this study and a one-year period prevalence model, we examined the effects of reproductive and vaginal health on HPV infection. In addition, cytopathology reports from all Pap smears collected were used to obtain additional information on cervical inflammation and relate those to the risk of HPV infection. Significant associations were then stratified to determine if any potential confounding factors played a role. For contraceptive methods, our results indicate that condom use and contraceptive injections were associated with and increased risk of HPV infections. In addition, we found a slightly protective role for intrauterine devices and tubal sterilization in risk of HPV infection. However, several of these associations can be explained upon stratification of behavioral factors such as marital status and lifetime number of partners. Certain hygiene factors such as tampon use and previous bacterial or fungal infections were also found to be associated with an increased risk of HPV infection. Lastly, using the cytopathology reports, it appears that local inflammation of the cervix is also associated with increased risk of HPV infection. The results of this research attempt to assist gynecologists in determining risk of HPV infection based on information from patients and laboratory findings available at a patient's visit. Given that there is limited research available on the role of genital hygiene, reproductive health and inflammation on the natural history of HPV infection, this project contributes to our knowledge in this area, although further studies are necessary to confirm these associations.
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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 | 0.005 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".