Question · asked by 1 review
Fixed orthodontic treatment with fixed (multibracket) appliances (exposure) vs None (single-group prevalence/incidence estimate): Association between patient age and number of ICLs
- Population
- Patients (permanent dentition) during or after fixed orthodontic treatment with fixed (multibracket) appliances
- Intervention
- Fixed orthodontic treatment with fixed (multibracket) appliances (exposure)
- Comparison
- None (single-group prevalence/incidence estimate)
- Outcome
- Association between patient age and number of ICLs
Patient age was not significantly associated with the number of ICLs (ungraded).
What each review found
Current versions only| Finding | Effect | Studies | GRADE certainty |
|---|---|---|---|
Fixed orthodontic treatment with fixed (multibracket) appliances (exposure) vs None (single-group prevalence/incidence estimate) Association between patient age and number of ICLs · Patients (permanent dentition) during or after fixed orthodontic treatment with fixed (multibracket) appliances · During or after fixed orthodontic treatment, International (16 countries; studies published 2005-2022); orthodontic clinical settings, By patient age (subgroup meta-analysis; no significant association) Patient age was not significantly associated with the number of ICLs (ungraded). Distribution of initial caries lesions in relation to fixed orthodontic therapy. A systematic review and… (2024) All outcomes | No significant association found between patient age and the number of ICLs (meta-regression / subgroup analysis) | Not reported | GRADE not reported |
Findings are shown side by side, never pooled across reviews.
The reviews
| Review | Searched up to | Included studies | AMSTAR 2 |
|---|---|---|---|
| Distribution of initial caries lesions in relation to fixed orthodontic therapy. A systematic review and meta-analysis. 2024 All outcomes | 01 May 2023 | 33 | Not applicable |
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.