Question · asked by 0 reviews
Any orthodontic (non-surgical) treatment to correct posterior crossbite or expand the top teeth vs No treatment or another orthodontic treatment: Signs and symptoms of respiratory disease
- Population
- Children and adults with a posterior crossbite without a Class III skeletal relationship, cleft lip or palate, or other syndrome associated with craniofacial anomalies (all included studies were children aged 5 to 16 years)
- Intervention
- Any orthodontic (non-surgical) treatment to correct posterior crossbite or expand the top teeth
- Comparison
- No treatment or another orthodontic treatment
- Outcome
- Signs and symptoms of respiratory disease
The review found no eligible studies for this question.
What each review found
Current versions only| Finding | Effect | Studies | GRADE certainty |
|---|---|---|---|
Any orthodontic (non-surgical) treatment to correct posterior crossbite or expand the top teeth vs No treatment or another orthodontic treatment Signs and symptoms of respiratory disease · Children and adults with a posterior crossbite without a Class III skeletal relationship, cleft lip or palate, or… The review found no eligible studies for this question. Orthodontic treatment for posterior crossbites (2014) · Cochrane All outcomesearlier version CD000979.PUB2, superseded | no estimate extracted | 0 studies | No studies found |
Findings are shown side by side, never pooled across reviews.
The reviews
| Review | Searched up to | Included studies | AMSTAR 2 |
|---|---|---|---|
| Orthodontic treatment for posterior crossbites 2021 · Cochrane All outcomes | 2021-04 | Not listed | Not assessed |
Related questions
The same intervention and outcome, asked in another population or against another comparator.
- Any orthodontic (non-surgical) treatment to correct posterior crossbite or expand the top teeth vs No treatment or another orthodontic treatment · Children and adults with a posterior crossbite, without a Class III skeletal… · 1 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.