CD4+ T-cell count below 250 cells/mm3: HIV-related oral lesions
- Population
- Children living with HIV receiving ART
- Intervention
- CD4+ T-cell count below 250 cells/mm3
- Comparison
- Not specified
- Outcome
- HIV-related oral lesions
One reported study did not show a clear difference in HIV-related oral lesions for children with CD4+ T-cell counts below 250 cells/mm3.
What each review found
Include earlier review versions| Finding | Effect | Studies | GRADE certainty |
|---|---|---|---|
CD4+ T-cell count below 250 cells/mm3 HIV-related oral lesions · Children living with HIV receiving ART · CD4+ T-cell count below 250 cells/mm3 One reported study did not show a clear difference in HIV-related oral lesions for children with CD4+ T-cell counts below 250 cells/mm3. Oral Health Status of Children and Adolescents Living with HIV Undergoing Antiretroviral Therapy: A… (2022) All outcomes | OR 1.916 [0.613, 2.513] | 1 study | GRADE not reported |
CD4+ T-cell count below 250 cells/mm3 HIV-related oral lesions · Children living with HIV receiving ART · CD4+ T-cell count below 250 cells/mm3 One reported study did not show a clear difference in HIV-related oral lesions for children with CD4+ T-cell counts below 250 cells/mm3. Oral Health Status of Children and Adolescents Living with HIV Undergoing Antiretroviral Therapy: A… (2022) All outcomes | OR 1.999 [0.129, 3.688] | 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.
- CD4+ T-cell count below 250 cells/mm3 vs CD4+ T-cell count >=250 cells/mm3 · Children and adolescents living with HIV on ART/HAART · 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.