Question · asked by 1 review
Minimal incision palatopharyngoplasty (MIPP) vs MIPP with additional individualised velopharyngeal surgery (pharyngeal flap or sphincter pharyngoplasty): Instrumental assessment: velopharyngeal complete closure and gap size (videonasopharyngoscopy and multiview videofluoroscopy)
- Population
- Children or adolescents aged 3 years or older with velopharyngeal insufficiency (VPI) associated with non-syndromic submucous cleft palate
- Intervention
- Minimal incision palatopharyngoplasty (MIPP)
- Comparison
- MIPP with additional individualised velopharyngeal surgery (pharyngeal flap or sphincter pharyngoplasty)
- Outcome
- Instrumental assessment: velopharyngeal complete closure and gap size (videonasopharyngoscopy and multiview videofluoroscopy)
What each review found
Current versions only| Finding | Effect | Studies | GRADE certainty |
|---|---|---|---|
Minimal incision palatopharyngoplasty (MIPP) vs MIPP with additional individualised velopharyngeal surgery (pharyngeal flap or sphincter pharyngoplasty) Instrumental assessment: velopharyngeal complete closure and gap size (videonasopharyngoscopy and multiview videofluoroscopy) · Children or adolescents aged 3 years or older with velopharyngeal insufficiency (VPI) associated with non-syndromic… · 3 months post-operatively Interventions for the management of submucous cleft palate (2008) · Cochrane All outcomes | Complete closure occurred in 32 (86%) of the participants in group 1 (MIPP) and in 31 (89%) in group 2, P > 0.05. After eliminating the nine patients with residual velopharyngeal insufficiency, the post-operative gap… | 1 study · 72 participants | GRADE not reported |
Findings are shown side by side, never pooled across reviews.
The reviews
| Review | Searched up to | Included studies | AMSTAR 2 |
|---|---|---|---|
| Interventions for the management of submucous cleft palate 2008 · Cochrane All outcomes | 2007-03 | Not listed | Not assessed |
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.