Category Archives: Prevention, Engagement and Care Cascade
Association between antiretroviral therapy and dental caries in children and adolescents with HIV: A systematic review and meta-analysis
OBJECTIVE: To evaluate the evidenceAÿregarding the association between antiretroviral therapy and dental caries in children and adolescents with HIV. METHODS: Searches were conducted in five international databases (PubMed, Scopus, EMBASE,...
The association between disclosure and antiretroviral therapy among adults living with HIV in China: A systematic review and meta-analysis
Background Antiretroviral therapy (ART) and ART adherence are crucial for preventing HIV transmission and prolonging the lifespan of people living with HIV (PLWH). Serostatus disclosure is a significant factor influencing...
Comparison of treatment-emergent resistance-associated mutations and discontinuation due to adverse events among integrase strand transfer inhibitor-based single-tablet regimens and cabotegravir + rilpivirine for the treatment of virologically suppressed people with HIV: A systematic literature review and network meta-analysis
Objective This study evaluated rates of treatment‐emergent resistance‐associated mutations (TE‐RAMs) and discontinuation due to adverse events (DC‐AEs) across integrase strand transfer inhibitor (INSTI)‐based single‐tablet regimens and injectable cabotegravir + rilpivirine...
Health educational interventions for adolescents living with HIV: A scoping review
BACKGROUND: Adolescents living with HIV face unique challenges as they gain greater independence while transitioning into adulthood. They must adjust their self-management activities and take primary responsibility for their health,...
Estimating the effect of maternal viral load on perinatal and postnatal HIV transmission: A systematic review and meta-analysis
Background Although a growing body of evidence supports zero risk of sexual HIV transmission from a person with sustained virological suppression, known as U=U (undetectable equals untransmittable), data have been...
HIV-1 drug resistance in children and implications for pediatric treatment strategies: A systematic review and meta-analysis
Introduction Failure in the prevention of mother-to-child HIV transmission (PMTCT) and pediatric treatment challenges led to pretreatment drug resistance (PDR) and acquired drug resistance (ADR) in children with HIV (CWHIV)....
Machine learning for personalized risk assessment of HIV, syphilis, gonorrhoea and chlamydia: A systematic review and meta-analysis
Background Machine learning (ML) shows promise for sexually transmitted infection (STI) risk prediction, but systematic evidence of its effectiveness remains fragmented. Methods We systematically searched six electronic databases, three preprint...
Meta-analysis of TB & HIV co-infection mortality rate in sub-Saharan African children, youth, and adolescents
Background Despite the effectiveness of antiretroviral treatment (ART) in reducing morbidity and mortality, children and adolescents with co-infections face an elevated risk of death due to their young age and...
Undetectable = Untransmittable: A cross-population systematic review and meta-analysis on awareness and acceptance
The Undetectable = Untransmittable (U=U) message is a cornerstone of HIV-related public health communication, yet global levels of awareness and acceptance remain unclear across key populations. This study aimed to...
Retention in HIV care among Southeast Asian people living with HIV: A systematic review and meta-analysis
Background Despite the effectiveness of antiretroviral therapy (ART) in reducing HIV-related morbidity and mortality, the retention of HIV care remains suboptimal in Southeast Asia. Objective This systematic review and meta-analysis...
Evaluating predictive performance, validity, and applicability of machine learning models for predicting HIV treatment interruption: A systematic review
Background HIV treatment interruption remains a significant barrier to achieving global HIV/AIDS control goals. Machine learning (ML) models offer potential for predicting treatment interruption by leveraging large clinical data. Understanding...
