Association between antiretroviral therapy and dental caries in children and adolescents with HIV: a systematic review and meta-analysis
Bibliographic record
Abstract
OBJECTIVE: To evaluate the evidence regarding 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, CENTRAL, and LILACS) from the inception of records up to October 2024, including studies that examine the impact of antiretroviral therapy on caries in individuals under 18 years of age. The risk of bias was assessed using the Newcastle-Ottawa Scale. Quantitative synthesis was performed using the inverse variance method or Mantel-Haenszel method, depending on the type of outcome analyzed. Measures of association included odds ratios and mean differences, employing a random-effects model with a 95% confidence interval. RESULTS: A total of 585 studies were identified, of which 17 were selected for qualitative review and 15 were included in the meta-analysis. The meta-analysis revealed a significantly higher risk of dental caries in children and adolescents with HIV undergoing antiretroviral therapy compared to those without the virus (odds ratio of 2.11; 95% CI: 1.41-3.17). Subgroup analysis showed a stronger association in case-control studies and for the DMFT index. The certainty of the evidence according to GRADE was rated as very low. CONCLUSION: Despite limited certainty, the results suggest that HIV under antiretroviral therapy is associated with a higher risk of dental caries. It is prudent to interpret these results with caution, considering the methodological limitations of the studies. However, given the possible relevance of this association for public health, it is recommended to consider specific dental care protocols for children and adolescents with HIV, as well as the need for preventive strategies integrated into HIV management.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.009 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".