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Evidence found and GRADE certainty

747 questions · 815 findings · 144 reviews

No studies found 154 · 18.9%GRADE not reported 147 · 18%Very low 164 · 20.1%Low 199 · 24.4%Moderate 121 · 14.8%High 30 · 3.7%

Higher national income (GNI per capita) vs Lower national income (GNI categories: middle <=$15,000 / high $15,001-25,000 / very high >$25,000)

Odds of higher caries (DMFT) category · 12-year-old children across European countries (national/regional epidemiological surveys, 2011-2022)

Higher national income was strongly associated with lower odds of poor oral health (OR 0.10, 95% CI 0.03 to 0.37; about 90% lower odds); not GRADE-rated.

1 finding from 1 review

Western/Northern Europe (UN M49 region) vs Eastern/Southern Europe (UN M49 geographical categorization)

Caries experience (mean DMFT) · 12-year-old children across European countries (national/regional epidemiological surveys, 2011-2022)

Mean DMFT is lowest in West Europe (0.88) and North Europe (1.34) and highest in East Europe (2.76) and South Europe (2.61) (Figure 3); not GRADE-rated.

4 findings from 1 review
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AI algorithms (predominantly CNN/deep learning) as index test vs Dental expert / visual-tactile clinical assessment (reference standard)

Sensitivity · Patients undergoing dental caries detection on dental images (teeth/surfaces across imaging modalities)

AI algorithms have high pooled sensitivity (0.85) for detecting dental caries; ungraded, with very high heterogeneity (I2>95%) and evidence of publication bias.

1 finding from 1 review

Higher national income (GNI per capita) vs Lower national income (GNI categories: middle <=$15,000 / high $15,001-25,000 / very high >$25,000)

Caries experience (mean DMFT) · 12-year-old children across European countries (national/regional epidemiological surveys, 2011-2022)

Mean DMFT in 12-year-olds rises as national income falls: 0.90 (very high income), 2.38 (high income), 3.30 (middle income) (Figure 2); not GRADE-rated.

3 findings from 1 review

Very high Human Development Index (HDI >=0.800) vs High Human Development Index (HDI 0.700-0.799)

Caries experience (mean DMFT) · 12-year-old children across European countries (national/regional epidemiological surveys, 2011-2022)

Mean DMFT was higher in high-HDI (3.41) than very-high-HDI (1.73) countries (ANOVA p<.01); descriptive country-level means only, not meta-analyzed or GRADE-rated.

2 findings from 1 review

All European countries pooled (overall) vs None (overall pooled prevalence)

Caries experience (mean DMFT) · 12-year-old children across European countries (national/regional epidemiological surveys, 2011-2022)

Across European countries the overall pooled mean DMFT in 12-year-olds was 2.10 (95% CI 1.63 to 2.57), with very high between-country heterogeneity (I2=100%); not GRADE-rated.

1 finding from 1 review

AI algorithms (predominantly CNN/deep learning) as index test vs Dental expert / visual-tactile clinical assessment (reference standard)

Specificity · Patients undergoing dental caries detection on dental images (teeth/surfaces across imaging modalities)

AI algorithms have high pooled specificity (0.90) for detecting dental caries; ungraded, with very high heterogeneity (I2>95%).

1 finding from 1 review

Lower unemployment rate vs Higher unemployment rate (low <=5% / medium >5-10% / high >10%)

Odds of higher caries (DMFT) category · 12-year-old children across European countries (national/regional epidemiological surveys, 2011-2022)

Unemployment rate was not independently associated with DMFT category in the adjusted model (OR 0.99, 95% CI 0.44 to 2.23); not GRADE-rated.

1 finding from 1 review

AI algorithms (predominantly CNN/deep learning) as index test vs Dental expert / visual-tactile clinical assessment (reference standard)

Area under the summary ROC curve · Patients undergoing dental caries detection on dental images (teeth/surfaces across imaging modalities)

The area under the summary ROC curve for AI caries detection is 0.86, indicating high overall diagnostic accuracy; ungraded.

1 finding from 1 review

Western/Northern Europe (UN M49 region) vs Eastern/Southern Europe (UN M49 geographical categorization)

Odds of higher caries (DMFT) category · 12-year-old children across European countries (national/regional epidemiological surveys, 2011-2022)

In the adjusted ordinal model geographical location was not independently significant for DMFT category (OR 0.57, 95% CI 0.24 to 1.35); not GRADE-rated.

1 finding from 1 review

Very high Human Development Index (HDI >=0.800) vs High Human Development Index (HDI 0.700-0.799)

Odds of higher caries (DMFT) category · 12-year-old children across European countries (national/regional epidemiological surveys, 2011-2022)

HDI was not independently associated with DMFT category in the adjusted model (OR 1.82, 95% CI 0.32 to 10.47); not GRADE-rated.

1 finding from 1 review

AI algorithms (predominantly CNN/deep learning) as index test vs Dental expert / visual-tactile clinical assessment (reference standard)

Positive likelihood ratio · Patients undergoing dental caries detection on dental images (teeth/surfaces across imaging modalities)

A positive AI test raises caries probability substantially (LR+ 10.44; positive post-test probability 79%); ungraded.

1 finding from 1 review

AI algorithms (predominantly CNN/deep learning) as index test vs Dental expert / visual-tactile clinical assessment (reference standard)

Log diagnostic odds ratio · Patients undergoing dental caries detection on dental images (teeth/surfaces across imaging modalities)

AI algorithms show strong pooled discriminative accuracy for dental caries (log DOR 4.37; DOR 70.9); ungraded.

1 finding from 1 review

AI algorithms (predominantly CNN/deep learning) as index test vs Dental expert / visual-tactile clinical assessment (reference standard)

Negative likelihood ratio · Patients undergoing dental caries detection on dental images (teeth/surfaces across imaging modalities)

A negative AI test lowers caries probability substantially (LR- 0.17; negative post-test probability 6%); ungraded.

1 finding from 1 review