Question · asked by 1 review

Fluoride-releasing primers/adhesives (Opal Seal; Clearfil Protect Bond) 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
Fluoride-releasing primers/adhesives (Opal Seal; Clearfil Protect Bond)
Comparison
Conventional/control orthodontic adhesive (e.g., Transbond XT) or negative control
Outcome
Enamel demineralization (DIAGNOdent score)

Across three small non-randomized studies, fluoride-releasing primers (Opal Seal, Clearfil) showed no consistent clinical advantage over conventional primers in preventing white spot lesions (ungraded).

What each review found

Include earlier review versions
FindingEffectStudiesGRADE certainty
Fluoride-releasing primers/adhesives (Opal Seal; Clearfil Protect Bond) vs Conventional primer/adhesive (Transbond XT)
White spot lesions / enamel demineralization (photographic scoring, DIAGNOdent, micro-CT) · Patients undergoing fixed orthodontic (fixed appliance) treatment (adolescents and adults, ages 12 to 35) · 8 weeks to full treatment (to debonding), Orthodontic clinical practice (in-vivo human clinical trials); adolescents and adults
Across three small non-randomized studies, fluoride-releasing primers (Opal Seal, Clearfil) showed no consistent clinical advantage over conventional primers in preventing white spot lesions (ungraded).
Can Orthodontic Adhesive Systems Inhibit the Formation and Development of White Spot Lesions During Fixed… (2024) All outcomes
Three non-randomized studies (Comert 2020 n=56; Oz 2019 n=35; Oz 2017 n=15) showed no consistent clinical advantage. Comert: no significant difference in photographic WSL severity or area, although DIAGNOdent favored…3 studies · 106 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.