ArticleJournal of dental research2021
Metabolomics Insights in Early Childhood Caries.
Article in Journal of dental research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 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
26 citing papers in PubMed, 52 citations in OpenAlex.
- Proton-Nuclear Magnetic Resonance Metabolomics of Gingival Crevicular Fluid During Orthodontic Tooth Movement With Aligners.Orthodontics & craniofacial research · 2025Trial
- Clinician-accessible automated machine learning in oral healthcare: A systematic review.The Japanese dental science review · 2026Review
- Addressing Research Gaps in Early Childhood Caries: A Comprehensive Review.Dentistry journal · 2026Review
- Food-grade Lacticaseibacillus paracasei postbiotics suppress oral Streptococcus mutans biofilm formation and cariogenicity.NPJ science of food · 2026Article
- Artificial Intelligence in Pediatric Dentistry: A Systematic Review and Meta-Analysis.Children (Basel, Switzerland) · 2026Review
- Integrated salivary microbiome and metabolome profiling reveals ecological and functional alterations in severe early childhood caries.Journal of translational medicine · 2025Article
- Ensemble learning for microbiome-based caries diagnosis: multi-group modeling and biological interpretation from salivary and plaque metagenomic data.BMC oral health · 2025Article
- Metabolomics analysis of children with spastic cerebral palsy: a case-control study.BMC pediatrics · 2025Article
- Metabolomics Applications for Diagnosing Peri-Implantitis: A Systematic Review of In Vivo Studies.Diagnostics (Basel, Switzerland) · 2025Review
- Effects of Stress on Biological Characteristics and Metabolism of Periodontal Ligament Stem Cells of Deciduous Teeth.International dental journal · 2025Article
- Understanding and reducing delayed dental care for early childhood caries: a structural equation model approach.BMC public health · 2025Article
- Effect of respiratory microflorae colonization on short and long-time outcomes of respiratory syncytial virus infection in children: A scoping review.Pediatric discovery · 2024Review
- Fluoride and gallein regulate polyphosphate accumulation in dental caries-associatedMicrobiology (Reading, England) · 2024Article
- Salivary Proteins and Metabolites as Caries Biomarkers in Adolescents.Caries research · 2024Article
- Manipulating the diseased oral microbiome: the power of probiotics and prebiotics.Journal of oral microbiology · 2024Review
- Advancing understanding of microbial biofilms through machine learning-powered studies.Food science and biotechnology · 2023Review
- Selenomonas sputigena acts as a pathobiont mediating spatial structure and biofilm virulence in early childhood caries.Nature communications · 2023Article
- BZINB Model-Based Pathway Analysis and Module Identification Facilitates Integration of Microbiome and Metabolome Data.Microorganisms · 2023Article
- BZINB model-based pathway analysis and module identification facilitates integration of microbiome and metabolome data.bioRxiv : the preprint server for biology · 2023Article
- Salivary microbiome and metabolome analysis of severe early childhood caries.BMC oral health · 2023Article
Corrections and comments
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Authors and funding
18 authors at 6 institutions in 3 countries.
Funding
Abstract
Dental caries is characterized by a dysbiotic shift at the biofilm-tooth surface interface, yet comprehensive biochemical characterizations of the biofilm are scant. We used metabolomics to identify biochemical features of the supragingival biofilm associated with early childhood caries (ECC) prevalence and severity. The study's analytical sample comprised 289 children ages 3 to 5 (51% with ECC) who attended public preschools in North Carolina and were enrolled in a community-based cross-sectional study of early childhood oral health. Clinical examinations were conducted by calibrated examiners in community locations using International Caries Detection and Classification System (ICDAS) criteria. Supragingival plaque collected from the facial/buccal surfaces of all primary teeth in the upper-left quadrant was analyzed using ultra-performance liquid chromatography-tandem mass spectrometry. Associations between individual metabolites and 18 clinical traits (based on different ECC definitions and sets of tooth surfaces) were quantified using Brownian distance correlations (dCor) and linear regression modeling of log
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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.