Accuracy of HPV testing on self-collected and clinician-collected samples for different screening strategies in African settings: A systematic review and meta-analysis.

OBJECTIVES

Cervical cancer still poses a considerable threat to women in low- and middle-income countries, particularly on the African continent. Self-collection of a vaginal sample promises advantages over the established sampling by clinicians. We aimed to assess the accuracy of self-sampling compared to clinician sampling in order to inform its application in primary care in the African context.

METHODS

We searched Pubmed, Livivo, Web of Science, Cochrane Library and African Index Medicus on the 07th of February 2022. The eligibility criteria were: reporting (i) self-sampling against clinician-sampling, (ii) study location in Africa, (iii) relevant outcome-measures: (a) Cohen's kappa (b) sensitivity and specificity of self-sampling tests. We combined Cohen's kappa effects, additionally sensitivity and specificity estimates using random-effects models. The study is registered with PROSPERO (CRD42020218081).

RESULTS

We included 28 studies in the systematic review and 21 studies in the meta-analysis. Self-sampling was used to test for high-risk HPV infections. Two studies additionally tested for low-risk HPV infections. The pooled Cohen's kappa was 0.66 (95%CI: 0.61-0.71). Populations at risk yielded 0.63 (95%CI: 0.56-0.71). Target amplification tests based on PCR performed best with a kappa of 0.68 (95%CI: 0.63-0.73) compared to isothermal mRNA tests, 0.61 (95%CI: 0.51-0.71). Point of care tests performed exceptionally well, 0.73 (95%CI: 0.67-0.80). Sensitivities are close to 80% and specificities close to 90% of self-sampling to detect high-risk HPV.

CONCLUSIONS

Self-sampling agrees moderately to substantially with clinician sampling in the African context. Point of care tests might be particularly suited for application in cervical cancer primary screening in low- and middle-income countries. Populations at risk should get special attention while using self-sampling. Screening protocols should be established.