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Meta-analysis of agreement/concordance statistics in studies comparing self- versus clinician-collected samples for HPV testing in cervical cancer screening.

We conducted a meta-analysis of test agreement/concordance between human papillomavirus (HPV) testing in self-collected versus clinician-collected samples in 26 studies (10,071 participants) updating a previous meta-analysis on accuracy for cervical… Click to show full abstract

We conducted a meta-analysis of test agreement/concordance between human papillomavirus (HPV) testing in self-collected versus clinician-collected samples in 26 studies (10,071 participants) updating a previous meta-analysis on accuracy for cervical precancer. Pooled overall agreement was 88.7% (95%CI: 86.3%-90.9%), positive agreement was 84.6% (95%CI: 79.9%-88.7%), negative agreement was 91.7% (95%CI: 89.1%-94.0%), and kappa was 0.72 (95%CI: 0.66-0.78). Subgroup meta-analyses suggested higher overall agreement for target amplification-based DNA assays (90.4%) compared to signal amplification-based DNA assays (86.7%) (p=0.175) or RNA assays (82.3%) (p<0.001). HPV test agreement/concordance targets may provide criteria to extend existing validations towards alternative sampling approaches and devices/storage media. This article is protected by copyright. All rights reserved.

Keywords: meta analysis; hpv testing; agreement concordance; agreement

Journal Title: International journal of cancer
Year Published: 2022

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