Question · asked by 1 review

Fixed orthodontic treatment with fixed (multibracket) appliances (exposure) vs None (single-group prevalence/incidence estimate): Prevalence of ICLs (proportion of tooth surfaces affected)

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
Prevalence of ICLs (proportion of tooth surfaces affected)

About 22% of tooth surfaces showed ICLs during/after fixed orthodontic treatment (pooled 0.22, 95% CI 0.14-0.33; very low certainty; extreme heterogeneity).

What each review found

Include earlier review versions
FindingEffectStudiesGRADE certainty
Fixed orthodontic treatment with fixed (multibracket) appliances (exposure) vs None (single-group prevalence/incidence estimate)
Prevalence of ICLs (proportion of tooth surfaces affected) · Patients (permanent dentition) during or after fixed orthodontic treatment with fixed (multibracket) appliances · During or after fixed orthodontic treatment (cross-sectional/at debonding), International (16 countries; studies published 2005-2022); orthodontic clinical settings, Overall (random-effects model)
About 22% of tooth surfaces showed ICLs during/after fixed orthodontic treatment (pooled 0.22, 95% CI 0.14-0.33; very low certainty; extreme heterogeneity).
Distribution of initial caries lesions in relation to fixed orthodontic therapy. A systematic review and… (2024) All outcomes
Proportion 0.22 [0.14, 0.33]6 studies · 11583 participantsVery low

Findings are shown side by side, never pooled across reviews.

The reviews

ReviewSearched up toIncluded studiesAMSTAR 2
Distribution of initial caries lesions in relation to fixed orthodontic therapy. A systematic review and meta-analysis.
2024 All outcomes
01 May 202333Not 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.