Question · asked by 1 review

Calcium-enriched mixture (CEM) cement vs Mineral trioxide aggregate (MTA): Clinical failure

It is very uncertain whether calcium-enriched mixture (CEM) cement changes clinical failure compared with mineral trioxide aggregate (MTA) (very low certainty).

What each review found

Current versions only
FindingEffectStudiesGRADE certainty
Calcium-enriched mixture (CEM) cement vs Mineral trioxide aggregate (MTA)
Clinical failure · Children with extensive decay involving the dental pulp in primary teeth · 6, 12 and 18 months
Pulp treatment for extensive decay in primary teeth (2018) · Cochrane All outcomes
No clinical failure in any participant (Malekafzali 2011); not estimable1 study · 80 participantsGRADE not reported
Calcium-enriched mixture (CEM) cement vs Mineral trioxide aggregate (MTA)
Clinical failure · Children with extensive decay involving the dental pulp in primary teeth · 6 months
It is very uncertain whether calcium-enriched mixture (CEM) cement changes clinical failure compared with mineral trioxide aggregate (MTA) (very low certainty).
Pulp treatment for extensive decay in primary teeth (2018) · Cochrane All outcomes
RR 3.00 [0.13, 69.70]1 study · 42 participantsVery low
Calcium-enriched mixture (CEM) cement vs Mineral trioxide aggregate (MTA)
Clinical failure · Children with extensive decay involving the dental pulp in primary teeth · 6, 12 and 18 months
Pulp treatment for extensive decay in primary teeth (2014) · Cochrane All outcomesearlier version CD003220.PUB2, superseded
No clinical failure in any participant (Malekafzali 2011); not estimable1 study · 80 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
2017-08list not extracted yetNot assessed

Studies behind the findings

None of these reviews ties its included studies to this outcome in the data here. Cochrane reviews and reviews with headline outcomes only do not list their studies yet.

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.