Anal and cervical human papillomavirus genotypes in women co-infected with human immunodeficiency virus: A systematic review.
Victoria Cruz ParanáDavi Souza SantosDhara Isabella Barreto de Souza SilvaGabriela C LimaLuana L GoisLuciane Amorim SantosPublished in: International journal of STD & AIDS (2022)
Human papillomavirus (HPV) and human immunodeficiency virus (HIV) infections are sexually transmitted. There are several HPV genotypes and clinical manifestations. Determining which genotypes circulate worldwide and/or in specific geographic areas can help with prevention programs and vaccine distribution. This systematic review aimed to investigate the most frequent anal and cervical HPV genotypes in women co-infected with HPV/HIV. The PubMed, Scientific Electronic Library Online, and Latin American and Caribbean Literature in Health Sciences databases were used to search for articles published between January 2015 and August 2021, and the included articles followed the defined selection criteria. Based on the 51 articles included, HPV16 was the most prevalent (41%) genotype, followed by HPV52 (17%) and HPV58 (14%). Based on the comparative analyses of the HIV-negative women with HPV and the HPV/HIV co-infected groups, HPV16 was frequent in both groups; HPV58, HPV31, and HPV52 were more frequent in the co-infected group; and HPV18 was more common in HIV-negative women with HPV. HPV/HIV co-infected women most frequently presented the HPV genotypes 16, 58, and 52, whereas HIV-negative women with HPV had a higher frequency of HPV16, HPV18, and HPV52 genotypes. The results indicate the importance of genotype surveillance as a strategy to improve preventive measures against HPV infection and its complications. International Prospective Register of Systematic Reviews (PROSPERO) registration number: CRD42020220121.
Keyphrases
- high grade
- human immunodeficiency virus
- cervical cancer screening
- antiretroviral therapy
- systematic review
- hepatitis c virus
- hiv infected
- hiv positive
- hiv aids
- healthcare
- public health
- hiv testing
- type diabetes
- randomized controlled trial
- machine learning
- mental health
- skeletal muscle
- pregnant women
- south africa
- insulin resistance
- climate change
- risk assessment
- health information