ArticleJournal of dental research2023
Prediction of Future Caries in 1-Year-Old Children via the Salivary Microbiome.
Article in Journal of dental research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.
- Use of the oral microbiota as screening test to identify children at risk for caries development. A systematic review of longitudinal studies.European journal of oral sciences · 2026Pooled it
- Early Childhood Caries in Preschool Children: A Multidimensional Analysis From Biological Mechanisms to Socioecological Interventions.Oral diseases · 2026Review
- Supragingival dental biofilm microbiomes of tobacco heating system smokers, cigarette smokers and non-smokers.Clinical oral investigations · 2026Article
- Biological Validation of the PSC-MCAT: Analyzing Dental Plaque Microbiota Across Caries Risk Levels in Preschoolers.International dental journal · 2026Article
- Artificial Intelligence in Pediatric Dentistry: A Systematic Review and Meta-Analysis.Children (Basel, Switzerland) · 2026Review
- Multicohort external validation ofFrontiers in cellular and infection microbiology · 2026Article
- Mapping the oral microbiome in children with oral diseases using next-generation sequencing: a systematic review.Journal of oral microbiology · 2026Review
- Construction of an early childhood caries risk prediction model based on the oral microbiome: a nested case‒control study.BMC oral health · 2025Article
- Microbiome variability and role ofJournal of oral microbiology · 2025Article
- Tech Bytes-Harnessing Artificial Intelligence for Pediatric Oral Health: A Scoping Review.International journal of clinical pediatric dentistry · 2024Article
- Effects of Sjogren's syndrome and high sugar diet on oral microbiome in patients with rampant caries: a clinical study.BMC oral health · 2024Article
- The oral microbiome of children in health and disease-a literature review.Frontiers in oral health · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 3 institutions in 2 countries.
Funding
Abstract
Dental caries is the most common chronic disease in children that causes negative effects on their health, development, and well-being. Early preventive interventions are key to reduce early childhood caries prevalence. An efficient strategy is to provide risk-based targeted prevention; however, this requires an accurate caries risk predictor, which is still lacking for infants before caries onset. We aimed to develop a caries prediction model based on the salivary microbiome of caries-free 1-y-old children. Using a nested case-control design within a prospective cohort study, we selected 30 children based on their caries status at 1-y follow-up (at 2 y old): 10 children who remained caries-free, 10 who developed noncavitated caries, and 10 who developed cavitated caries. Saliva samples collected at baseline before caries onset were analyzed through 16S rRNA gene sequencing. The results of β diversity analysis showed a significant difference in salivary microbiome composition between children who remained caries-free and those who developed cavitated caries at 2 y old (analysis of similarities, Benjamini-Hochberg corrected,
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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.