Question · asked by 1 review

Facemask (RME) or modified facemask vs Other non-surgical orthodontic treatments (mini maxillary protractor, Pushing Splints, modified tandem, Reverse Forsus, reverse Twin Block, reverse chin cup, tongue appliance, Frankel III): Overjet

Population
Children and adolescents (aged 16 years or younger) with prominent lower front teeth (Class III malocclusion)
Intervention
Facemask (RME) or modified facemask
Comparison
Other non-surgical orthodontic treatments (mini maxillary protractor, Pushing Splints, modified tandem, Reverse Forsus, reverse Twin Block, reverse chin cup, tongue appliance, Frankel III)
Outcome
Overjet

It is very uncertain whether facemask (RME) or modified facemask changes overjet compared with other non-surgical orthodontic treatments (mini maxillary… (very low certainty).

What each review found

Include earlier review versions
FindingEffectStudiesGRADE certainty
Facemask (RME) or modified facemask vs Other non-surgical orthodontic treatments (mini maxillary protractor, Pushing Splints, modified tandem, Reverse Forsus, reverse Twin Block, reverse chin cup, tongue appliance, Frankel III)
Overjet · Children and adolescents (aged 16 years or younger) with prominent lower front teeth (Class III malocclusion) · End of treatment
It is very uncertain whether facemask (RME) or modified facemask changes overjet compared with other non-surgical orthodontic treatments (mini maxillary… (very low certainty).
Orthodontic treatment for prominent lower front teeth (Class III malocclusion) in children (2024) · Cochrane All outcomes
MD 0.96 [-0.12, 2.04]4 studies · 136 participantsVery low

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

The reviews

ReviewSearched up toIncluded studiesAMSTAR 2
Orthodontic treatment for prominent lower front teeth (Class III malocclusion) in children
2024 · Cochrane All outcomes
2023-01Not listedNot assessed

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

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.