Question · asked by 1 review
Extraction of a maxillary first permanent molar vs Extraction of a mandibular permanent first molar: Spontaneous space closure
- Population
- Children and adolescents after extraction of a mandibular permanent first molar (before eruption of the second molar)
- Intervention
- Extraction of a maxillary first permanent molar
- Comparison
- Extraction of a mandibular permanent first molar
- Outcome
- Spontaneous space closure
Spontaneous space closure is much more likely in the maxilla than the mandible (OR 7.77; low certainty).
What each review found
Include earlier review versions| Finding | Effect | Studies | GRADE certainty |
|---|---|---|---|
Extraction of a maxillary permanent first molar vs Extraction of a mandibular permanent first molar Spontaneous space closure · Children and adolescents (<18 years) after extraction of a permanent first molar before eruption of the permanent… · Until eruption of the permanent second molar (median follow-up 4.0 years), University clinics and hospitals in 8 countries (children/adolescents <18 years), Overall Spontaneous space closure is much more likely in the maxilla than the mandible (OR 7.77; low certainty). Spontaneous space closure after extraction of permanent first molars in children and adolescents: a… (2024) All outcomes | OR 7.77 [4.99, 12.11] | 9 studies · 1349 participants | Low |
Findings are shown side by side, never pooled across reviews.
The reviews
| Review | Searched up to | Included studies | AMSTAR 2 |
|---|---|---|---|
| Spontaneous space closure after extraction of permanent first molars in children and adolescents: a systematic review and meta-analysis. 2024 All outcomes | February 2024 | 18 | Not applicable |
Related questions
The same intervention and outcome, asked in another population or against another comparator.
- Extraction of a maxillary first permanent molar vs Extraction of a mandibular first permanent molar · Children aged 5 to 15 years undergoing first permanent molar extraction · 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.