Question · asked by 1 review

Coating material (bonding material or sealant) WITH fluoride release vs Coating material WITHOUT fluoride release: Initiation of white spot lesions (WSL), visual-tactile assessment

Population
Patients of any age (11-40 years) receiving comprehensive/fixed orthodontic treatment with fixed appliances
Intervention
Coating material (bonding material or sealant) WITH fluoride release
Comparison
Coating material WITHOUT fluoride release
Outcome
Initiation of white spot lesions (WSL), visual-tactile assessment

Fluoride-releasing coating materials do not appear to reduce WSL initiation more than non-fluoride coatings (RR 0.84, not significant); certainty of evidence is very low.

What each review found

Include earlier review versions
FindingEffectStudiesGRADE certainty
Coating material (bonding material or sealant) WITH fluoride release vs Coating material WITHOUT fluoride release
Initiation of white spot lesions (WSL), visual-tactile assessment · Patients of any age (11-40 years) receiving comprehensive/fixed orthodontic treatment with fixed appliances · 1-24 months follow-up, Patients undergoing fixed (multibracket) orthodontic appliance treatment; clinical/dental setting; analysis at tooth level
Fluoride-releasing coating materials do not appear to reduce WSL initiation more than non-fluoride coatings (RR 0.84, not significant); certainty of evidence is very low.
Efficacy of sealants and bonding materials during fixed orthodontic treatment to prevent enamel… (2021) All outcomes
RR 0.84 [0.70, 1.01]10 studies · 4705 participantsVery low

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

The reviews

ReviewSearched up toIncluded studiesAMSTAR 2
Efficacy of sealants and bonding materials during fixed orthodontic treatment to prevent enamel demineralization: a systematic review and…
2021 All outcomes
Not specified (no date restriction on language or year)24Critically Low / Critically Low

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.