Ontology highlight
ABSTRACT: Background
HPV infection is a major risk factor for cervical cancer. HPV vaccine coverage remains low. Early identification of high-risk individuals with some characteristics is crucial for those with limited vaccination access.Objective
To estimate the impact of different HPV infection statuses on subsequent infection, infection type, and coinfection. Influencing factors of long-term HPV infection status and clearance were also explored.Methods
Data from Wuxi's cervical cancer screening (2013-2022) was used. Multivariate and multinomial logistic regression models were used to evaluate the relationship between different HPV infection statuses in the first four rounds and subsequent (the fifth round) infection, infection type, and coinfection, and the influencing fac
SUBMITTER: Zheng H
PROVIDER: S-EPMC12853600 | biostudies-literature | 2025 Dec
REPOSITORIES: biostudies-literature