Question · asked by 1 review

Sealapex (eugenol-free calcium hydroxide) vs Zinc oxide and eugenol (ZOE): Clinical failure

Population
Children with extensive decay involving the dental pulp in primary teeth
Intervention
Sealapex (eugenol-free calcium hydroxide)
Comparison
Zinc oxide and eugenol (ZOE)
Outcome
Clinical failure

Sealapex (eugenol-free calcium hydroxide) showed no clear difference in clinical failure compared with zinc oxide and eugenol (ZOE); GRADE not reported.

What each review found

Current versions only
No studies found 0 · 0%GRADE not reported 2 · 100%Very low 0 · 0%Low 0 · 0%Moderate 0 · 0%High 0 · 0%
FindingEffectStudiesGRADE certainty
Sealapex (eugenol-free calcium hydroxide) vs Zinc oxide and eugenol (ZOE)
Clinical failure · Children with extensive decay involving the dental pulp in primary teeth · 12 months
Sealapex (eugenol-free calcium hydroxide) showed no clear difference in clinical failure compared with zinc oxide and eugenol (ZOE); GRADE not reported.
Pulp treatment for extensive decay in primary teeth (2018) · Cochrane All outcomes
RR 5.00 [0.26, 98.00]1 study · 40 participantsGRADE not reported
Sealapex (eugenol-free calcium hydroxide) vs Zinc oxide and eugenol (ZOE)
Clinical failure · Children with extensive decay involving the dental pulp in primary teeth · 12 months
Sealapex (eugenol-free calcium hydroxide) showed no clear difference in clinical failure compared with zinc oxide and eugenol (ZOE); GRADE not reported.
Pulp treatment for extensive decay in primary teeth (2014) · Cochrane All outcomesearlier version CD003220.PUB2, superseded
RR 5.00 [0.26, 98.00]1 study · 40 participantsGRADE not reported

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

The reviews

ReviewSearched up toIncluded studiesAMSTAR 2
Pulp treatment for extensive decay in primary teeth
2018 · Cochrane All outcomes
2017-08Not 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.