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Meta-Analysis
. 2022 Jul 15;151(2):308-312.
doi: 10.1002/ijc.33967. Epub 2022 Mar 5.

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

Affiliations
Meta-Analysis

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

Marc Arbyn et al. Int J Cancer. .

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.

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References

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