ArticleEvidence-based dentistry2018
Are standardised caries risk assessment models effective?
Article in Evidence-based dentistry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed.
- Predictive validity and cost-effectiveness analysis of two caries risk assessment tools for preschool children.BMC oral health · 2025Article
- Nomogram prediction of caries risk among schoolchildren age 7 years based on a cohort study in Shanghai.The Journal of international medical research · 2021Article
- Might one simple question indicate a child's caries risk and guide preventive advice?British dental journal · 2019Article
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Data sourcesPubMed, Scopus and Embase were searched from 2000 to 2016.Study selectionA search strategy was developed to identify randomised clinical trials, cross-sectional studies, cohort studies, comparative studies, validation studies and evaluation studies that tested standardised caries risk assessment (CRA) models. There was no restriction with respect to patients' age, but caries data should have been recorded using the Decayed, Missing, Filled Tooth/Surface (DMFT/S) or the International Caries Detection and Assessment System (ICDAS) indices.Data extraction and synthesisTwo authors independently assessed the papers for inclusion, carried out data extraction and the papers' methodological quality using a customised quality assessment tool developed by the National Heart, Lung and Blood Institute and Research Triangle Institute International for Observational Cohort and Cross-Sectional Studies. For comparison between studies, the caries values were organised in two-by-two tables from which sensitivity, specificity values and their 95% confidence intervals were calculated.ResultsA total of 1239 papers were retrieved of which 32 were included. The most frequent CRA model investigated was the Cariogram. Sixteen studies were carried out on children and 12 on adults. The results showed an association between the risk determined by the model and the actual caries status and/or the development of new carious lesions, this association being statistically significant. With respect to the quality of the studies included in the review, 19 were classified as of good quality, while eight and five were judged as of fair and poor, respectively. On the basis of seven studies, it was observed that Cariogram sensibility varied from 41.0 to 75.0, while its specificity ranged from 65.8 to 88.0.ConclusionsThere is insufficient evidence to assert that CRA models are effective in determining patients' actual caries risk or in predicting their probability of developing new carious lesions. Moreover, the validity of standardised CRA models is still limited.
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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.