Purpose: To assess the current evidence regarding the early caries preventive effects of CPP-ACP compared with fluorides.
Materials And Methods: An electronic search from PubMed, Cochrane Library, EMBASE, Web of Science and ScienceDirect database with a complementary gray literature search for randomised controlled human clinical trials were carried out. No language restrictions were applied.
Results: A total of 395 participants in 10 studies of the 600 selected studies were carefully reviewed and selected for inclusion in this meta-analysis. The pooling data of the remineralisation scores in vivo showed a weighted mean difference (WMD) in favor of CPP-ACP as compared to fluorides (WMD: -2.47; 95% confidence interval [CI]: [-3.62, -1.32]; p < 0.0001). The DMFS/dmfs (decayed, missing, filled surfaces) index and the Enamel Decalcification Index (EDI) did not differ significantly between CPP-ACP and fluorides. No serious side effects associated with CPP-ACP and fluoride agents were found.
Conclusion: CPP-ACP may offer a safe and efficient alternative to fluorides with less mineral content loss (laser fluorescence values) and more remineralisation of early caries lesions. In view of the inherent limitations of the included researches, high-quality, well-designed randomised controlled trials are still needed. CPP-ACP has potential utility in promoting enamel remineralisation of early caries lesions compared with fluoride.
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http://dx.doi.org/10.3290/j.ohpd.a43637 | DOI Listing |
J Indian Soc Pedod Prev Dent
October 2024
Department of Pediatric and Preventive Dentistry, Goa Dental College and Hospital, Bambolim, Goa, India.
Context: The oral health-related early childhood quality of life (OH-ECQoL) tool, designed to evaluate how dental issues affect preschoolers' and their family's quality of life (QoL), has been translated and validated in many languages. However, it has not yet been adapted into the Konkani language.
Aim: Cross-cultural adaptation of OH-ECQoL tool for use in the Konkani-speaking population in the state of Goa among primary caregivers of children aged 24-71 months.
Br Dent J
January 2025
Key Laboratory of Shaanxi Province for Craniofacial Precision Medical Research, College of Stomatology, Xi´an Jiaotong University, Xi´an, P.R. China; Department of Paediatric Dentistry, Affiliated Stomatology Hospital of Xi´an Jiaotong University, Xi´an, P.R. China.
Background Indirect pulp capping (IDPC) is a preferred treatment for pulp preservation in primary teeth. However, the survival rate of IDPC in primary teeth and impact factors is still equivocal.Aims To evaluate the survival rate of IDPC in primary teeth with a deep carious lesion approximating the pulp but without irreversible pulpitis or periapical disease.
View Article and Find Full Text PDFTrials
January 2025
INSERM, Regenerative Medicine and Skeleton, RMeS, CHU Nantes, Nantes Université, UMR 1229, Nantes, 44000, France.
Background: Cleft lip and/or palate is the most common congenital orofacial deformity, affecting 1/800 births. A thorough review of the literature has shown that children with cleft have poorer oral hygiene and dental health than other children, with higher levels of caries in both temporary and permanent teeth and poorer periodontal health. Cleft patients are treated by a multidisciplinary team that aims to provide comprehensive care from pre- or post-natal diagnosis to early adulthood and the end of growth.
View Article and Find Full Text PDFInt J Clin Pediatr Dent
November 2024
Department of Public Health Dentistry, Dr D Y Patil Dental College and Hospital, Dr D Y Patil Vidyapeeth, Pune, Maharashtra, India.
Introduction: Utilizing 38% silver diamine fluoride (SDF) has been demonstrated in clinical trials to prevent and halt early childhood caries (ECC). Based on a research evaluation, it has been found that 38% SDF can effectively prevent new tooth decay and stop existing tooth decay in children's primary teeth.
Objective: This study aimed to assess the survival of teeth treated with repeated applications of 38% SDF in children with ECC and to compare the outcomes between single and multiple applications.
BMC Oral Health
January 2025
Department of Clinical Dentistry, Faculty of Medicine, University of Bergen, Bergen, Norway.
Background: In the last years, artificial intelligence (AI) has contributed to improving healthcare including dentistry. The objective of this study was to develop a machine learning (ML) model for early childhood caries (ECC) prediction by identifying crucial health behaviours within mother-child pairs.
Methods: For the analysis, we utilized a representative sample of 724 mothers with children under six years in Bangladesh.
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