Question · asked by 1 review
Living with HIV and undergoing antiretroviral therapy (ART/HAART) vs Healthy HIV-negative controls: Dental caries (by severity)
- Population
- Children or adolescents
- Intervention
- Living with HIV and undergoing antiretroviral therapy (ART/HAART)
- Comparison
- Healthy HIV-negative controls
- Outcome
- Dental caries (by severity)
One study reported higher median caries severity among CLWH under 12 years; no meta-analytic estimate was pooled.
What each review found
Current versions only| Finding | Effect | Studies | GRADE certainty |
|---|---|---|---|
Living with HIV and undergoing antiretroviral therapy (ART/HAART) vs Healthy HIV-negative controls Dental caries severity (median DMFT/dmft/DMFS/dmfs) · Children and adolescents (<18 years) · Cross-sectional (case-control; single time point), HIV pediatric/ART clinics, AIDS centers, and hospitals in Brazil, India, Saudi Arabia, and West Africa (Cote d'Ivoire, Mali, Senegal) One study reported higher median caries severity among CLWH under 12 years; no meta-analytic estimate was pooled. Oral Health Status of Children and Adolescents Living with HIV Undergoing Antiretroviral Therapy: A… (2022) All outcomes | Rajonson 2017 reported significantly higher median DMFT/dmft/DMFS/dmfs among CLWH than uninfected children below 12 years; no pooled effect estimate reported. | 1 study | GRADE not reported |
Findings are shown side by side, never pooled across reviews.
The reviews
| Review | Searched up to | Included studies | AMSTAR 2 |
|---|---|---|---|
| Oral Health Status of Children and Adolescents Living with HIV Undergoing Antiretroviral Therapy: A Systematic Review and Meta-Analysis. 2022 All outcomes | Inception to 29 July 2022 | 21 | Not applicable |
Related questions
The same intervention and outcome, asked in another population or against another comparator.
- Living with HIV and undergoing antiretroviral therapy (ART/HAART) vs HIV-negative individuals · Children and adolescents (<18 years) living with HIV (CLWH) · 1 review
How reviews are matched to this question
Reviews word the same question differently. Four decision models (TypeSafe's Jev, Liquid AI's d1-ultra, SubQ Snap and Baseten's Elephant) judged each wording of the population, intervention, comparator and outcome against the others; two wordings count as the same when at least three of them agree and none clearly disagrees, and findings count as this question only when all four elements match. Timing, setting and subgroup never split a question: they are shown on each finding.