Question · asked by 1 review

ACP light-cure adhesive vs Conventional/control orthodontic adhesive (e.g., Transbond XT) or negative control: Enamel demineralization (DIAGNOdent score)

Population
Patients undergoing fixed orthodontic (fixed appliance) treatment (adolescents and adults, ages 12 to 35)
Intervention
ACP light-cure adhesive
Comparison
Conventional/control orthodontic adhesive (e.g., Transbond XT) or negative control
Outcome
Enamel demineralization (DIAGNOdent score)

A single triple-blinded RCT found the ACP-containing adhesive reduced enamel demineralization versus a conventional adhesive over 6 months (ungraded).

What each review found

Current versions only
FindingEffectStudiesGRADE certainty
Amorphous calcium phosphate (ACP)-containing light-cure adhesive vs Conventional adhesive (Transbond XT)
Enamel demineralization (DIAGNOdent) · Patients undergoing fixed orthodontic (fixed appliance) treatment (adolescents and adults, ages 12 to 35) · 1 and 6 months, Orthodontic clinical practice (in-vivo human clinical trials); adolescents and adults
A single triple-blinded RCT found the ACP-containing adhesive reduced enamel demineralization versus a conventional adhesive over 6 months (ungraded).
Can Orthodontic Adhesive Systems Inhibit the Formation and Development of White Spot Lesions During Fixed… (2024) All outcomes
Alshammari 2019 (1 triple-blinded RCT, 26 patients / 255 teeth): DIAGNOdent demineralization scores were lower with ACP than control at 1 month (2.58 +/-1.11 vs 3.39 +/-1.29) and 6 months (3.41 +/-1.11 vs 4.32…1 study · 26 participantsGRADE not reported

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

The reviews

The same intervention and outcome, asked in another population or against another comparator.

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.