Question · asked by 1 review

Resin-modified glass ionomer cement for bonding orthodontic brackets vs Conventional/control orthodontic adhesive (e.g., Transbond XT) or negative control: New white spot lesion incidence (and first-time bracket bond failure)

Population
Patients undergoing fixed orthodontic (fixed appliance) treatment (adolescents and adults, ages 12 to 35)
Intervention
Resin-modified glass ionomer cement for bonding orthodontic brackets
Comparison
Conventional/control orthodontic adhesive (e.g., Transbond XT) or negative control
Outcome
New white spot lesion incidence (and first-time bracket bond failure)

A single multicenter RCT found resin-modified glass-ionomer cement did not reduce new white spot lesions or bond failures versus conventional composite (ungraded).

What each review found

Current versions only
FindingEffectStudiesGRADE certainty
Resin-modified glass-ionomer cement (RM-GIC) for bracket bonding vs Conventional composite resin adhesive (Transbond XT)
New white spot lesion incidence (and first-time bracket bond failure) · Patients undergoing fixed orthodontic (fixed appliance) treatment (adolescents and adults, ages 12 to 35) · During fixed appliance treatment, Orthodontic clinical practice (in-vivo human clinical trials); adolescents and adults
A single multicenter RCT found resin-modified glass-ionomer cement did not reduce new white spot lesions or bond failures versus conventional composite (ungraded).
Can Orthodontic Adhesive Systems Inhibit the Formation and Development of White Spot Lesions During Fixed… (2024) All outcomes
Benson 2019 (1 multicenter single-blind RCT, 197 patients): no difference in the proportion of patients with new WSLs or first-time bracket failures between RM-GIC and resin adhesive (p>0.05). No meta-analysis performed.1 study · 197 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.