ArticleFrontiers in public health2026
Informative HPV testing after conization and its impact on time-varying estimates: a GAMM-based cohort study.
Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Objectives: To characterize post-conization time-varying HPV positivity trajectories in a real-world setting with irregular follow-up, and to assess whether the association between baseline infection multiplicity (single vs. multiple) and postoperative HPV positivity is robust to testing intensity and potential informative visiting. Methods: In this retrospective cohort of 872 women who underwent conization and completed ≥1 postoperative HPV test, we modeled HPV positivity (yes/no) over continuous months since conization using generalized additive mixed models with subject-specific random effects. Time-varying between-group differences were evaluated using a group-specific time-varying parameter. To address irregular follow-up and potential informative visiting, we performed prespecified sensitivity analyses by (i) restricting to women with ≥3 postoperative HPV tests and (ii) additionally adjusting for testing intensity (number of HPV tests during follow-up). Models adjusted for age, menopausal status, admission type, health insurance type, margin status, preoperative cytology, gravidity/parity, and postoperative hysterectomy. Results: In the overall cohort, postoperative HPV positivity decreased over time in both groups (per 4 months: single infection OR = 0.66, 95% CI 0.63-0.70; multiple infection OR = 0.71, 95% CI 0.65-0.78; both Conclusions: Post-conization HPV testing occurs under irregular, potentially informative follow-up in real-world practice. Accounting for testing intensity, the association between baseline multiple infection and less favorable time-varying postoperative trajectories remained robust, supporting risk-stratified surveillance while highlighting the need to explicitly consider follow-up patterns when estimating postoperative HPV dynamics.
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