2026-10-11T05:27:56Z https://api.figshare.com/v2/oai

oai:figshare.com:article/34007916 2026-09-28T04:23:08Z category_303 portal_316 item_type_3 month_year_09_2026

Table 1_A multi-centre study on cervical cancer screening reveals population-related impact on cervical intraepithelial neoplasia rate.xlsx Yun Zhao (48978) Xinyu Wang (341591) Rutie Yin (12077955) Mingzhu Li (685750) Xiao Li (107004) Qingli Li (4060195) Yu Wang (12152) Jingran Li (9711208) Chao Zhao (253684) Huiming Liao (25119201) Lihui Wei (511898) Clinical Microbiology age cervical cancer screening genotyping HPV repeat positivity Objective<p>To conduct a three-year cervical cancer screen in Zhejiang, Sichuan, Beijing, and Inner Mongolia and analyse clinical and population data to identify possible improvements to the screening protocol.</p>Methods<p>A standard protocol including human papillomavirus (HPV) detection, cytology test, colposcopy, and histopathology inspection was adapted for the screening. Additional HPV genotyping was performed for participants in Sichuan, Beijing, and Inner Mongolia.</p>Results<p>12,086 women were included in this study, and 178 cases of cervical intraepithelial neoplasia (CIN) grade 2 or worse (CIN2+) were identified. Detailed analyses on features of age, region, ethnicity, and origin showed a notable correlation between age strata and high-grade CIN rates. Moreover, apart from HPV16/18, other HPV types such as HPV33, HPV52, and HPV58 were found to be enriched in high-grade CIN cases, as was repeat positivity.</p>Conclusions<p>Our results suggest that age, HPV16, and ThinPrep cytologic test (TCT) are prominent exploratory predictors for CIN2+ detection, and HPV33, 52, and 58 may pose higher risks than other non-HPV16/18 types. Future studies incorporating prospective effectiveness and health-economic evaluation are required to validate the clinical utility of these predictors.</p> 2026-09-28T04:23:08Z Dataset Dataset 10.3389/fcimb.2026.1920297.s001 https://figshare.com/articles/dataset/Table_1_A_multi-centre_study_on_cervical_cancer_screening_reveals_population-related_impact_on_cervical_intraepithelial_neoplasia_rate_xlsx/34007916 CC BY 4.0