Question · asked by 1 review
Superselective neck dissection vs Elective selective neck dissection: Locoregional recurrence
- Population
- Adults with oral cavity cancer (tongue or floor of mouth) and clinically negative neck nodes
- Intervention
- Superselective neck dissection
- Comparison
- Elective selective neck dissection
- Outcome
- Locoregional recurrence
What each review found
Current versions onlyNo studies found 0 · 0%GRADE not reported 1 · 50%Very low 1 · 50%Low 0 · 0%Moderate 0 · 0%High 0 · 0%
| Finding | Effect | Studies | GRADE certainty |
|---|---|---|---|
Superselective neck dissection vs Selective neck dissection Locoregional recurrence · Adults with oral cavity cancer (tongue or floor of mouth) and clinically negative neck nodes Interventions for the treatment of oral cavity and oropharyngeal cancers: surgical treatment (2023) · Cochrane All outcomes | Locoregional recurrence: data not presented usably and inconsistent; Pandey 2018 no difference (3/12 vs 3/20); Rastogi 2018 lower recurrence with superselective (Kaplan-Meier P<0.05); 72 participants (2 RCTs). | 2 studies · 72 participants | Very low |
Superselective neck dissection vs Selective neck dissection Locoregional recurrence · Adults with oral cavity cancer (tongue or floor of mouth) and clinically negative neck nodes · 2.5 years Interventions for the treatment of oral cavity and oropharyngeal cancers: surgical treatment (2018) · Cochrane All outcomesearlier version CD006205.PUB4, superseded | Locoregional recurrence: data not presented in a usable way; report concluded the super-selective procedure showed a lower rate of recurrence (Kaplan-Meier P<0.05) (Rastogi 2018). | 1 study | 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 treatment of oral cavity and oropharyngeal cancers: surgical treatment 2023 · Cochrane All outcomes | 2022-02 | 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.