Prevalence of Human Papillomavirus in Self-Taken Samples from Screening Nonattenders

J. U. H. Lam, M. Rebolj, D. M. Ejegod, H. Pedersen, C. Rygaard, E. Lynge, E. Harder, L. T. Thomsen, S. K. Kjaer, J. Bonde

    Research output: Contribution to journalArticlepeer-review

    15 Citations (Scopus)


    The Copenhagen Self-Sampling Initiative (CSi) has shown how human papillomavirus (HPV)-based self-sampling can be used to increase screening participation among 23,632 nonattenders in the Capital Region of Denmark. In this study, we describe HPV prevalence and genotype frequency in 4,824 self-samples as determined by three HPV assays (the CLART, Onclarity, and Hybrid Capture 2 [HC2] assays) and compare the results with those for physician-taken follow-up samples. The HPV self-sample findings were also compared to the findings for a reference population of 3,347 routinely screened women from the Horizon study, which had been undertaken in the same screening laboratory. Nonattenders had an HPV prevalence of 11.3% as determined by the CLART assay, which was lower than that for women from the Horizon study (18.5%). One-third of the CSi women who tested HPV positive by self-sampling tested HPV negative on the physician-taken follow-up sample. The CLART and Onclarity assays agreed on 64% (95% confidence interval [CI], 60 to 68%) of the HPV-positive self-taken samples. When the HC2 assay results were added into a three-way comparison, the level of agreement decreased to 27% (95% CI, 24 to 29%). Our findings suggest that further validation of HPV assays on self-taken samples is needed for optimal HPV detection and correct clinical management of HPV-positive women.
    Original languageEnglish
    Pages (from-to)2913-2923
    JournalJournal of Clinical Microbiology
    Issue number10
    Early online date25 Sept 2017
    Publication statusPublished - Oct 2017


    • HPV assays
    • HPV self-sampling
    • nonattenders
    • primary screening


    Dive into the research topics of 'Prevalence of Human Papillomavirus in Self-Taken Samples from Screening Nonattenders'. Together they form a unique fingerprint.

    Cite this