Evidence map›Paper›PMID 30012136›Full record

SynthesisBMC oral health2018

Are standardized caries risk assessment models effective in assessing actual caries status and future caries increment? A systematic review.

Maria Grazia Cagetti, Giuliana Bontà, Fabio Cocco, Peter Lingstrom, Laura Strohmenger, Guglielmo Campus

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in BMC oral health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 8 pooled it
8.3field-weighted citation impact, top 2% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

50 citing papers in PubMed, 8 syntheses or guidelines pooled it, 119 citations in OpenAlex.

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  7. A systematic review of risk assessment tools for early childhood caries: is there evidence?European archives of paediatric dentistry : official journal of the European Academy of Paediatric Dentistry · 2020
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  8. Guideline
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  20. Assessment of overall caries risk and mode of birth delivery in infants and children with and without ECC: a cross-sectional study.European archives of paediatric dentistry : official journal of the European Academy of Paediatric Dentistry · 2024
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 2 countries.

Maria Grazia CagettiDepartment of Biomedical, Surgical and Dental Sciences, University of Milan, Via Beldiletto 1, 20142, Milan, Italy. maria.cagetti@unimi.it.ORCID 0000-0002-2704-0585
Giuliana BontàDepartment of Biomedical, Surgical and Dental Sciences, University of Milan, Via Beldiletto 1, 20142, Milan, Italy.
Fabio CoccoWHO Collaboration Centre for Epidemiology and Community Dentistry, Via Beldiletto 1, 20142, Milan, Italy.
Peter LingstromDepartment of Cariology, Institute of Odontology, The Sahlgrenska Academy, University of Gothenburg, Medicinaregatan 12 A-G, P.O. Box 450, 405 30, Gothenburg, Sweden.
Laura StrohmengerDepartment of Biomedical, Surgical and Dental Sciences, University of Milan, Via Beldiletto 1, 20142, Milan, Italy.
Guglielmo CampusWHO Collaboration Centre for Epidemiology and Community Dentistry, Via Beldiletto 1, 20142, Milan, Italy.
University of Milan · ITUniversity of Sassari · ITUniversity of Gothenburg · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAssessing caries risk is an essential element in the planning of preventive and therapeutic strategies. Different caries risk assessment (CRA) models have been proposed for the identification of individuals running a risk of future caries. This systematic review was designed to evaluate whether standardized caries risk assessment (CRA) models are able to evaluate the risk according to the actual caries status and/or the future caries increment.

methodsRandomized clinical trials, cross-sectional studies, cohort studies, comparative studies, validation studies and evaluation studies, reporting caries risk assessment using standardized models (Cariogram, CAMBRA, PreViser, NUS-CRA and CAT) in patients of any age related to caries data recorded by DMFT/S or ICDAS indices, were included. PubMed, Scopus and Embase were searched from 2000 to 2016. A search string was developed. All the papers meeting the inclusion criteria were subjected to a quality assessment.

resultsOne thousand three-undred ninety-two papers were identified and 32 were included. In all but one, the Cariogram was used both as sole model or in conjunction with other models. All the papers on children (n = 16) and adults (n = 12) found a statistically significant association between the risk levels and the actual caries status and/or the future caries increment. Nineteen papers, all using the Cariogram except one, were classified as being of good quality. Three of four papers comprising children and adults found a positive association. For seven of the included papers, Cariogram sensibility and specificity were calculated; sensibility ranged from low (41.0) to fairly low (75.0), while specificity was higher, ranging from 65.8 to 88.0. Wide 95% confidence intervals for both parameters were found, indicating that the reliability of the model differed in different caries risk levels.

conclusionsThe scientific evidence relating to standardized CRA models is still limited; even if Cariogram was tested in children and adults in few studies of good quality, no sufficient evidence is available to affirm the method is effective in caries assessment and prediction. New options of diagnosis, prognosis and therapy are now available to dentists but the validity of standardized CRA models still remains limited.

Indexed as

Dental CariesForecastingHumansModels, StatisticalRisk AssessmentRisk FactorsDental cariesDental caries susceptibilityDental health surveysReviewRisk assessment

Identifiers

PMID30012136
PMCPMC6048716
OpenAlexW2884582747

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.