ArticleScientific reports2020
Quantitative Analysis of Salivary Oral Bacteria Associated with Severe Early Childhood Caries and Construction of Caries Assessment Model.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 3 of them syntheses that pooled it.
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Who cites it
25 citing papers in PubMed, 3 syntheses or guidelines pooled it, 45 citations in OpenAlex.
- New Frontiers in Autoimmune Diagnostics: A Systematic Review on Saliva Testing.International journal of environmental research and public health · 2023Pooled it
- Meta-analysis of caries microbiome studies can improve upon disease prediction outcomes.APMIS : acta pathologica, microbiologica, et immunologica Scandinavica · 2022Pooled it
- Oral health effects of botulinum toxin treatment for drooling: a systematic review.Medicina oral, patologia oral y cirugia bucal · 2021Pooled it
- Green Tea Kombucha Impacts Inflammation and Salivary Microbiota in Individuals with Excess Body Weight: A Randomized Controlled Trial.Nutrients · 2024Trial
- Trends in dental caries and related factors among second-grade students in Dongying District, 2018-2022.BMC oral health · 2026Article
- Biological Validation of the PSC-MCAT: Analyzing Dental Plaque Microbiota Across Caries Risk Levels in Preschoolers.International dental journal · 2026Article
- Integrated salivary microbiome and metabolome profiling reveals ecological and functional alterations in severe early childhood caries.Journal of translational medicine · 2025Article
- Article
- Microbiome variability and role ofJournal of oral microbiology · 2025Article
- Periodontal inflammatory and microbial profiles in healthy young African Americans and Caucasians.Journal of clinical periodontology · 2024Article
- Caries lesions diagnosis with deep convolutional neural network in intraoral QLF images by handheld device.BMC oral health · 2024Article
- A comparative study of microbial changes in dental plaque before and after single- and multiappointment treatments in patients with severe early childhood caries.BMC oral health · 2024Article
- Mouthguard-Type Wearable Sensor for Monitoring Salivary Turbidity to Assess Oral Hygiene.Sensors (Basel, Switzerland) · 2024Article
- Effect of light curing on the efficacy of silver diamine fluoride: A systematic review.Journal of Taibah University Medical Sciences · 2024Review
- Construction of a caries diagnosis model based on microbiome novelty score.Hua xi kou qiang yi xue za zhi = Huaxi kouqiang yixue zazhi = West China journal of stomatology · 2023Article
- Article
- Determinants and Interactions of Oral Bacterial and Fungal Microbiota in Healthy Chinese Adults.Microbiology spectrum · 2022Article
- Review
- Article
- Diversity of site-specific microbes of occlusal and proximal lesions in severe- early childhood caries (S-ECC).Journal of oral microbiology · 2022Article
Corrections and comments
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Authors and funding
15 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
To construct a saliva-based caries risk assessment model, saliva samples from 176 severe early childhood caries (S-ECC) children and 178 healthy (H) children were screened by real-time PCR-based quantification of the selected species, including Streptococcus mutans, Prevotella pallens, Prevotella denticola and Lactobacillus fermentum. Host factors including caries status, dmft indices, age, gender, and geographic origin were assessed in their influence on abundance of the targeted species, which revealed host caries status as the dominant factor, followed by dmft indices (both P < 0.01). Moreover, levels of S. mutans and P. denticola in the S-ECC group were significantly higher than those in the healthy group (P < 0.001 for S. mutans and P < 0.01 for P. denticola). Interestingly, the co-occurrence network of these targeted species in the S-ECC group differed from that from the healthy group. Finally, based on the combined change pattern of S. mutans and P. pallens, we constructed an S-ECC diagnosis model with an accuracy of 72%. This saliva-based caries diagnosis model is of potential value for circumstances where sampling dental plague is difficult.
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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.