Meta-analysis of agreement/concordance statistics in studies comparing self- vs clinician-collected samples for HPV testing in cervical cancer screening
- PMID: 35179777
- DOI: 10.1002/ijc.33967
Meta-analysis of agreement/concordance statistics in studies comparing self- vs clinician-collected samples for HPV testing in cervical cancer screening
Abstract
We conducted a meta-analysis of test agreement/concordance between human papillomavirus (HPV) testing in self-collected vs 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 = .175) or RNA assays (82.3%; P < .001). HPV test agreement/concordance targets may provide criteria to extend existing validations toward alternative sampling approaches and devices/storage media.
Keywords: agreement; cervical cancer screening; concordance; human papillomavirus; self-collection.
© 2022 UICC. This article has been contributed to by U.S. Government employees and their work is in the public domain in the USA.
Comment in
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Comments on: "Meta-analysis of agreement/concordance statistics in studies comparing self- vs clinician-collected samples for HPV testing in cervical cancer screening".Int J Cancer. 2022 Aug 1;151(3):481-483. doi: 10.1002/ijc.34014. Epub 2022 Apr 18. Int J Cancer. 2022. PMID: 35377465 No abstract available.
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Reply to: Comments on "Meta-analysis of agreement/concordance statistics in studies comparing self- vs clinician-collected samples for HPV testing in cervical cancer screening".Int J Cancer. 2022 Aug 1;151(3):484-487. doi: 10.1002/ijc.34013. Epub 2022 Apr 18. Int J Cancer. 2022. PMID: 35377490 No abstract available.
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