Question · asked by 1 review

Dental caries assessment (WHO/clinical diagnostic criteria; caries = DMFT>0) vs None (descriptive prevalence; random-effects pooled proportion): Dental caries prevalence

Population
Children (deciduous and/or permanent dentition) in low- and middle-income countries
Intervention
Dental caries assessment (WHO/clinical diagnostic criteria; caries = DMFT>0)
Comparison
None (descriptive prevalence; random-effects pooled proportion)
Outcome
Dental caries prevalence

About 39% of children in LMICs had dental caries (pooled prevalence 0.387, 95% CI 0.284 to 0.495; 11 studies; very high heterogeneity I2=99%; not GRADE-rated).

What each review found

Include earlier review versions
FindingEffectStudiesGRADE certainty
Dental caries assessment (dmft/DMFT index; ICDAS II in one study) vs None (descriptive prevalence; random-effects pooled proportion)
Caries prevalence (total population) · Children (deciduous and/or permanent dentition) in low- and middle-income countries · Low- and middle-income countries (Brazil, Nigeria, Cambodia, Tanzania, Mexico, Ethiopia)
About 39% of children in LMICs had dental caries (pooled prevalence 0.387, 95% CI 0.284 to 0.495; 11 studies; very high heterogeneity I2=99%; not GRADE-rated).
Individual, Family, and Socioeconomic Contributors to Dental Caries in Children from Low- and Middle-Income… (2022) All outcomes
Prevalence 0.387 [0.284, 0.495]11 studies · 11115 participantsGRADE not reported

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

The reviews

ReviewSearched up toIncluded studiesAMSTAR 2
Individual, Family, and Socioeconomic Contributors to Dental Caries in Children from Low- and Middle-Income Countries.
2022 All outcomes
March 2022 (all databases searched 11 March 2022; MEDLINE 1946 to 11 March 2022; CINAHL 1937 to 11 March 2022)11Not applicable

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.