ReviewCureus2025
Advancing Dental Risk Profiling: A Literature Review of the Cariogram Model.
Review in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Cariogenic Risk Modifies the Effect of Marginal Adaptation on Caries Adjacent to Posterior Composite Restorations: A Stratified Multivariate Analysis.Clinics and practice · 2026Article
- Salivary pH within multifactorial caries risk assessment in children: observational clinical evidence using the Cariogram platform.Frontiers in oral health · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The Cariogram is a well-established tool for caries risk assessment, integrating clinical, behavioral, and microbiological factors into an accessible graphical display. This review critically evaluates its performance in preventive dentistry, focusing on reliability, accuracy, and clinical value. It examines the methodological design, explores studies validating its predictive power, and compares its strengths with standard caries risk assessment methods. Additionally, the analysis highlights the tool's adaptability across diverse populations and settings while acknowledging limitations such as reliance on subjective measures and the demanding nature of data collection. Furthermore, recent studies on integrating digital technologies and artificial intelligence (AI) with the Cariogram are discussed, emphasizing their potential to enhance personalized oral healthcare. Evidence suggests that the Cariogram not only aids clinicians in planning interventions but also educates patients about their caries risk, fostering better adherence to preventive practices. Emerging research on AI-supported applications confirms the Cariogram's promise in transforming caries risk assessment by making it more practical, scalable, and accessible. This review consolidates current evidence on its role in modern dentistry and explores future directions for optimizing caries risk assessment and prevention.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.