Outcome
Type |
Measure |
Description |
Time frame |
Safety issue |
Other |
HPV type distributions |
Will characterize the HPV type distribution in baseline histology specimens and compare this to the types observed among incident cervical and vulvar HSIL lesions. Specifically, will compare the number and proportion of vaccine-type and non-vaccine type lesions between arms. |
Up to week 104 |
|
Other |
HPV strain variant analysis of cervical and vulvar HSIL specimens |
For study participants who have the same HPV type in HSIL specimens at baseline and follow-up time points, sequencing will be performed to determine whether or not HSIL is caused by an identical HPV strain. Will use all available pairs of baseline and follow-up HSIL caused by the same HPV type. Will report the proportion of these pairs with the same HPV strain in both treatment arms. Additionally, will report the rates of HSIL caused by new vaccine type infections. We will compare the two study groups using a chi-square test. This will be a descriptive analysis only as no sufficient data on which to power this analysis. |
Up to week 104 |
|
Other |
Tissue microarray library of cervical specimens for biomarker analysis and discovery |
Specimen banking objective. There is no pre-specified statistical analysis plan for this objective. Any future studies using these specimens will need to receive separate approval by NCI and CTEP. |
Up to week 104 |
|
Other |
hrHPV type distribution in the anus |
McNemar's chi-square test to compare the prevalence of that type in the anus and cervix will be used. For each hrHPV type, chi-square analyses will be used to compare the two HPV vaccination groups with respect to the distribution of that type in the (anus, cervix). Will report the proportion of incident cervical infections that were preceded by anal detection of the same type. |
Up to week 104 |
|
Other |
hrHPV type prevalence in the anus |
McNemar's chi-square test to compare the prevalence of that type in the anus and cervix will be used. For each hrHPV type, chi-square analyses will be used to compare the two HPV vaccination groups with respect to the distribution of that type in the (anus, cervix). Will report the proportion of incident cervical infections that were preceded by anal detection of the same type. |
Up to week 104 |
|
Other |
Vaccine-induced antibody titers |
Will explore the antibody titers for the vaccine type found in the HSIL in these women as compared to those without HSIL caused by that type. Analysis of vaccine titers between those with incident vaccine type HPV infections that persist for 2 or more study visits and those that do not will be performed. |
Up to week 104 |
|
Primary |
Occurrence of cervical high-grade squamous intraepithelial lesions (HSIL) or cervical cancer |
For each arm (vaccine and placebo), the event rate will be estimated using its point estimate and 95% Poisson confidence intervals. Poisson regression analyses will be used to compare the two arms with respect to event rate. In addition, time to event from week 4 to 52 will be described using the Kaplan-Meier method for each arm, and the two arms will be compared with respect to time to event using the log-rank test. |
After week 4 study visit to week 52 post-randomization |
|
Secondary |
Occurrence of cervical HSIL from weeks 52-104 |
The event rate for each arm from week 52 to week 104 for women who are event-free at 52 weeks will be estimated using its point estimate and 95% Poisson confidence interval. Poisson regression will be used to compare the two groups with respect to the event rate from week 52 to 104. |
After week 52 to week 104 |
|
Secondary |
Role of baseline types and quantity of HPV as predictors of sustained absence |
Poisson regression analyses will be used to determine if baseline HPV types are associated with of sustained absence of cervical HSIL and clearance of HPV infections after cryotherapy or LEEP. This analysis will also control for use of LEEP or cryotherapy. |
At baseline and week 4 |
|
Secondary |
Role of presence of HSIL at baseline as a predictor of sustained absence |
Poisson regression analyses will be used to determine if the presence of HSIL at baseline is associated with of sustained absence of cervical HSIL and clearance of HPV infections after cryotherapy or LEEP. This analysis will also control for use of LEEP or cryotherapy. |
At baseline and week 4 |
|
Secondary |
Role of CD4+ cell count as a predictor of sustained absence |
Poisson regression analyses will be used to determine if baseline CD4+ cell count is associated with of sustained absence of cervical HSIL and clearance of HPV infections after cryotherapy or LEEP. This analysis will also control for use of LEEP or cryotherapy. |
At baseline and week 4 |
|
Secondary |
Role of plasma HIV-1 RNA as a predictor of sustained absence |
Poisson regression analyses will be used to determine if baseline plasma HIV-1 RNA count is associated with of sustained absence of cervical HSIL and clearance of HPV infections after cryotherapy or LEEP. This analysis will also control for use of LEEP or cryotherapy. |
At baseline and week 4 |
|
Secondary |
Role of ART use as a predictor of sustained absence |
Poisson regression analyses will be used to determine if ART use is associated with of sustained absence of cervical HSIL and clearance of HPV infections after cryotherapy or LEEP. This analysis will also control for use of LEEP or cryotherapy. |
At baseline and week 4 |
|
Secondary |
Role of age as a predictor of sustained absence |
Poisson regression analyses will be used to determine if age is associated with of sustained absence of cervical HSIL and clearance of HPV infections after cryotherapy or LEEP. This analysis will also control for use of LEEP or cryotherapy. |
At baseline and week 4 |
|
Secondary |
Role of sexual behavior as a predictor of sustained absence |
Poisson regression analyses will be used to determine if sexual behavior is associated with of sustained absence of cervical HSIL and clearance of HPV infections after cryotherapy or LEEP. This analysis will also control for use of LEEP or cryotherapy. |
At baseline and week 4 |
|
Secondary |
Role of vaccination use as a predictor of sustained absence |
Poisson regression analyses will be used to determine if vaccine use is associated with of sustained absence of cervical HSIL and clearance of HPV infections after cryotherapy or LEEP. This analysis will also control for use of LEEP or cryotherapy. |
At baseline and week 4 |
|
Secondary |
Incident cervical vaccine type HPV infections defined as infections at 2 consecutive timepoints and assessed using type specific HPV DNA polymerase chain reaction (PCR) |
Vaccine and placebo participants will be compared with respect to these proportions using the chi-square test corrected for continuity. |
Up to week 104 |
|
Secondary |
Abnormal cervical cytology |
The proportion of women with abnormal cervical cytology at baseline, week 26, 52, and 104 will be reported and compared between arms. |
Baseline, week 26, 52, and 104 |
|
Secondary |
Prevalent vulvar HSIL or cancer |
The prevalence of vulvar HSIL or cancer at baseline will be estimated using the binomial proportion and its 95% confidence interval. |
Up to week 4 |
|
Secondary |
Incident vulvar HSIL or cancer |
The proportion of women who acquire vulvar HSIL or cancer among those negative for vulvar HSIL or cancer at baseline for both intervention arms will be estimated as a binomial proportion for both groups. The chi-square test corrected for continuity will be used to compare arms with respect to the proportions who acquire vulvar HSIL during the study. |
Up to week 104 |
|
Secondary |
Clinical and demographic factors associated with incident vulvar HSIL or cancer |
Logistic regression analyses will be used to evaluate associations with incident vulvar HSIL or cancer acquisition with clinical and demographic factors and arm. |
Up to week 104 |
|