Question · asked by 1 review

Farzanegan 2021 = Transbond XT + 1% chitosan + 1% TiO2 (co-intervention); Mollabashi 2022 = TiO2-only composite (1 wt%) vs Conventional/control orthodontic adhesive (e.g., Transbond XT) or negative control: Enamel demineralization / white spot lesion prevention (DIAGNOdent, enamel mineral content)

Population
Patients undergoing fixed orthodontic (fixed appliance) treatment (adolescents and adults, ages 12 to 35)
Intervention
Farzanegan 2021 = Transbond XT + 1% chitosan + 1% TiO2 (co-intervention); Mollabashi 2022 = TiO2-only composite (1 wt%)
Comparison
Conventional/control orthodontic adhesive (e.g., Transbond XT) or negative control
Outcome
Enamel demineralization / white spot lesion prevention (DIAGNOdent, enamel mineral content)

Two small RCTs gave inconsistent results for TiO2-modified adhesives/composites on enamel demineralization (one favorable on DIAGNOdent, one no difference in mineral content); ungraded.

What each review found

Current versions only
FindingEffectStudiesGRADE certainty
Farzanegan 2021 = Transbond XT + 1% chitosan + 1% TiO2 (co-intervention); Mollabashi 2022 = TiO2-only composite (1 wt%) vs Conventional adhesive/composite (Transbond XT)
Enamel demineralization / white spot lesion prevention (DIAGNOdent, enamel mineral content) · Patients undergoing fixed orthodontic (fixed appliance) treatment (adolescents and adults, ages 12 to 35) · 1 day to 6 months, Orthodontic clinical practice (in-vivo human clinical trials); adolescents and adults
Two small RCTs gave inconsistent results for TiO2-modified adhesives/composites on enamel demineralization (one favorable on DIAGNOdent, one no difference in mineral content); ungraded.
Can Orthodontic Adhesive Systems Inhibit the Formation and Development of White Spot Lesions During Fixed… (2024) All outcomes
Two RCTs (Farzanegan 2021 n=24; Mollabashi 2022 n=40): Mollabashi reported DIAGNOdent readings significantly lower on the TiO2 side than the control side (p<0.001); Farzanegan reported no significant difference in…2 studies · 64 participantsGRADE not reported

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

The reviews

Studies behind the findings

The primary studies the full-text reviews tie to this outcome. Reviews with headline outcomes only do not list them here.

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.