Transbond Plus self etching primer (3M Unitek) vs Conventional three-step bonding system (3M Transbond XT): White spot lesion incidence
- Population
- Orthodontic patients of any age with fixed braces (new DLs assessed at debond)
- Intervention
- Transbond Plus self etching primer (3M Unitek)
- Comparison
- Conventional three-step bonding system (3M Transbond XT)
- Outcome
- White spot lesion incidence
The self-etch primer system had higher WSL incidence than the conventional system, with certainty not graded.
What each review found
Current versions only| Finding | Effect | Studies | GRADE certainty |
|---|---|---|---|
Self-etch primer bonding system (3M Transbond Plus) vs Conventional three-step bonding system (3M Transbond XT) White spot lesion incidence · Patients undergoing fixed orthodontic treatment · 2 and 4 months after treatment start, Fixed orthodontic treatment The self-etch primer system had higher WSL incidence than the conventional system, with certainty not graded. Can Orthodontic Adhesive Systems Inhibit the Formation and Development of White Spot Lesions During Fixed… (2024) All outcomes | Group 2 (3M Transbond Plus) had a significantly higher incidence of WSLs than Group 1 (3M Transbond XT) (p <0.05). | 1 study · 75 participants | GRADE not reported |
Findings are shown side by side, never pooled across reviews.
The reviews
| Review | Searched up to | Included studies | AMSTAR 2 |
|---|---|---|---|
| Can Orthodontic Adhesive Systems Inhibit the Formation and Development of White Spot Lesions During Fixed Orthodontic Treatment? A… 2024 All outcomes | October 2023 | 12 | High / Low |
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.
- Effects of adhesive flash-free brackets on enamel demineralization and periodontal status. · 2020 · included by 1 of these review
- Yetkiner et al. 2019 · included by 1 of these review
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.