Karla Alfaro

Removing global barriers to cervical cancer prevention and moving towards elimination

Cervical cancer is a disease of inequality. The majority of cervical cancer cases can be prevented through vaccination against the human papillomavirus (HPV) (primary prevention) and screening and early treatment of precancerous lesions caused by HPV infections (secondary prevention), and it can be controlled if treated in early stages (tertiary prevention). However, significant gaps in access to care have shifted the burden of disease to resource-poor countries in Africa, Asia and Latin America. The recent World Health Organization’s Call to Action to eliminate cervical cancer is a unique opportunity to galvanize change and remove barriers to prevention and care.

Initial evaluation of a new cervical screening strategy combining human papillomavirus genotyping and automated visual evaluation: the Human Papillomavirus–Automated Visual Evaluation Consortium

Abstract The HPV-Automated Visual Evaluation Consortium is validating a cervical screening strategy enabling accurate cervical screening in resource-limited settings. A rapid, low-cost human papillomavirus (HPV) assay permits sensitive HPV testing of self-collected vaginal specimens; HPV-negative women are reassured. Triage of positive participants combines HPV genotyping (4 groups in order of cancer risk) and visual inspection assisted by automated cervical visual evaluation that classifies cervical appearance as severe, indeterminate, or normal. Together, the combination predicts which women have precancer, permitting targeted management to those most needing treatment. We analyzed CIN3+ yield for each HPV-Automated Visual Evaluation risk level (HPV genotype crossed by automated cervical visual evaluation classification) from 9 clinical sites (Brazil, Cambodia, Dominican Republic, El Salvador, Eswatini, Honduras, Malawi, Nigeria, and Tanzania). Data from 1832 HPV-positive participants confirmed that HPV genotype and automated cervical visual evaluation classification strongly and independently predict risk of histologic CIN3+. The combination of these low-cost tests provided excellent risk stratification, warranting pre-implementation demonstration projects.