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- W4223926551 endingPage "2092" @default.
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- W4223926551 abstract "High grade cervical intraepithelial neoplasia (CIN2+) may progress to cervical cancer. They may be detected by screening and are usually treated by conization. This study aimed at assessing annual proportions of screening, prevalent and incident CIN2+ diagnoses, as well as proportions of (re-)conizations during 24 months follow-up after conization in Germany.A descriptive retrospective claims data analysis of the years 2013-2018 was conducted using the InGef Research Database. Women aged 18-45 years with CIN2+ diagnoses were identified by ICD-10-GM codes (N87.1, N87.2, D06.-, and C53.-). Cervical conizations were identified by OPS codes (5-671.0* or 5-671.1*). Screening participation was identified by EBM codes (01730, 01733, 32819 or 32820). Annual proportions were calculated as women with the respective documented codes divided by all women in the respective age group per calendar year.Overall annual proportions of screened women spanned from 60.01 to 61.33% between 2013 and 2018. The overall annual prevalence of CIN2+ diagnoses (regardless of screening participation) ranged from 0.72 to 0.84% between 2013 and 2018, with highest proportions observed in women aged 27-45 years. Also, CIN2+ incidence was highest in women 27-45 years. Annual proportion of women undergoing conization was 0.24% in 2013 and 0.21% in 2018. During a 24-month follow-up period after conization, 2.91% of women underwent a re-conization 3 months or later after the initial conization.This analysis demonstrates a considerable burden of CIN2+, conizations and re-conizations in Germany, especially in women aged 27-45 years. This highlights the need for intensified prevention efforts such as expanding human papillomavirus (HPV) vaccination." @default.
- W4223926551 created "2022-04-19" @default.
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- W4223926551 date "2022-04-14" @default.
- W4223926551 modified "2023-09-26" @default.
- W4223926551 title "Burden of CIN2+ diagnoses and conizations in women aged 18–45 years—a retrospective secondary data analysis of German statutory health insurance claims data" @default.
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- W4223926551 doi "https://doi.org/10.1007/s00404-022-06548-7" @default.
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