Evidence map›Paper›PMID 32311276›Full record

ArticleJournal of dental research2020

Caries Risk Prediction Models in a Medical Health Care Setting.

T A Kalhan, C Un Lam, B Karunakaran, P L Chay, C K Chng, R Nair, Y S Lee, M C F Fong, Y S Chong, K Kwek and 7 more

Open access · greenAbstract read
In one paragraph

Article in Journal of dental research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 3 pooled it
1.3field-weighted citation impact, top 21% 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

14 citing papers in PubMed, 3 syntheses or guidelines pooled it, 23 citations in OpenAlex.

  1. Association between passive smoking and oral health among children: an umbrella review.European archives of paediatric dentistry : official journal of the European Academy of Paediatric Dentistry · 2026
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  7. Development and evaluation of an early childhood caries prediction model: a deep learning-based hybrid statistical modelling approach.European archives of paediatric dentistry : official journal of the European Academy of Paediatric Dentistry · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors at 7 institutions in 4 countries.

T A KalhanFaculty of Dentistry, National University of Singapore, Singapore.
C Un LamChief Dental Officer's Office, Ministry of Health, College of Medicine Building, Singapore.
B KarunakaranFaculty of Dentistry, National University of Singapore, Singapore.
P L ChayDental Service, KK Women's and Children's Hospital, Singapore.ORCID 0000-0003-0634-2493
C K ChngDental Service, KK Women's and Children's Hospital, Singapore.
R NairRadboud University Medical Centre, Radboud Institute for Health Sciences, Department of Dentistry-Quality and Safety of Oral Healthcare, Nijmegen, the Netherlands.ORCID 0000-0001-9497-6001
Y S LeeDepartment of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
M C F FongSaw Swee Hock School of Public Health, National University of Singapore, Singapore.
Y S ChongChief Dental Officer's Office, Ministry of Health, College of Medicine Building, Singapore.
K KwekDental Service, KK Women's and Children's Hospital, Singapore.
S M SawSaw Swee Hock School of Public Health, National University of Singapore, Singapore.
L ShekDivision of Paediatric Allergy, Immunology & Rheumatology, National University Hospital, Singapore.ORCID 0000-0001-9064-8983
F YapDepartment of Paediatrics, KK Women's and Children's Hospital, Singapore.
K H TanDental Service, KK Women's and Children's Hospital, Singapore.
K M GodfreyMRC Lifecourse Epidemiology Unit & NIHR Southampton Biomedical Research Centre, University of Southampton & University Hospital Southampton NHS Foundation Trust, Southampton, UK.
J HuangSingapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore.
C-Y S HsuFaculty of Dentistry, National University of Singapore, Singapore.
National University of Singapore · SGKK Women's and Children's Hospital · SGMinistry of Health · SGAgency for Science, Technology and Research · SGNational University Hospital · SGRadboud University Nijmegen · NLUniversity Hospital Southampton NHS Foundation Trust · GB

Funding

Department of Health NF-SI-0515-10042Medical Research Council MC_UU_12011/4
6 · The paper itself

Abstract

Despite development of new technologies for caries control, tooth decay in primary teeth remains a major global health problem. Caries risk assessment (CRA) models for toddlers and preschoolers are rare. Among them, almost all models use dental factors (e.g., past caries experience) to predict future caries risk, with limited clinical/community applicability owing to relatively uncommon dental visits compared to frequent medical visits during the first year of life. The objective of this study was to construct and evaluate risk prediction models using information easily accessible to medical practitioners to forecast caries at 2 and 3 y of age. Data were obtained from the Growing Up in Singapore Towards Healthy Outcomes (GUSTO) mother-offspring cohort. Caries was diagnosed using modified International Caries Detection and Assessment System criteria. Risk prediction models were constructed using multivariable logistic regression coupled with receiver operating characteristic analyses. Imputation was performed using multiple imputation by chained equations to assess effect of missing data. Caries rates at ages 2 y (

Indexed as

Delivery of Health CareDental CariesCohort StudiesHumansLogistic ModelsRisk FactorsTooth, Deciduouscohort studiesdeciduous toothoral healthpediatricianspreschoolrisk assessment

Identifiers

PMID32311276
PMCPMC7343522
OpenAlexW3017359352

What OpenQuestion holds

Textmetadata
LicenceTDM
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.