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Updated: May 8, 2026

Identifying Coronary Artery Calcification on Non-gated Computed Tomography Scans

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Published on: August 28, 2018

Caries risk assessment. A systematic review.

I Mejàre¹, S Axelsson, G Dahlén

¹Swedish Council on Health Technology Assessment , Stockholm , Sweden.

Acta Odontologica Scandinavica

|September 4, 2013

Summary

Predicting future cavities is more accurate in preschoolers than older children. Baseline caries experience is the best single predictor across all age groups, though model validation is often lacking.

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Systematic Approach to Identify Novel Antimicrobial and Antibiofilm Molecules from Plants' Extracts and Fractions to Prevent Dental Caries

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Published on: March 31, 2021

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Last Updated: May 8, 2026

Identifying Coronary Artery Calcification on Non-gated Computed Tomography Scans

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Systematic Approach to Identify Novel Antimicrobial and Antibiofilm Molecules from Plants' Extracts and Fractions to Prevent Dental Caries

Systematic Approach to Identify Novel Antimicrobial and Antibiofilm Molecules from Plants' Extracts and Fractions to Prevent Dental Caries

Published on: March 31, 2021

Area of Science:

Dental Public Health
Pediatric Dentistry
Epidemiology

Background:

Accurate prediction of future caries development is crucial for effective preventive strategies in children.
Existing multivariate models and single factors require rigorous assessment for their predictive capabilities.

Purpose of the Study:

To evaluate the accuracy of multivariate models and individual factors in predicting future caries incidence in pre-school children and schoolchildren/adolescents.
To compare the predictive performance between different age groups and predictor types.

Main Methods:

Systematic literature search adhering to pre-defined inclusion criteria.
Independent assessment of abstracts and full-text articles by two reviewers.
Quality assessment of studies using the QUADAS tool and GRADE approach for evidence quality.

Main Results:

Ninety articles were included; study quality varied, with only 7 deemed high quality.
Multivariate models showed higher accuracy in pre-school children but often lacked independent validation.
Baseline caries experience demonstrated moderate/good accuracy in pre-school children and limited accuracy in older children.

Conclusions:

Baseline caries prevalence is the most reliable single predictor for caries risk across all pediatric age groups.
Significant heterogeneity in study designs and reporting hinders robust synthesis and necessitates standardization.
Independent validation of caries prediction models is essential to confirm their accuracy and clinical utility.