Tooth decay, also known as caries, is a significant medical problem that harms teeth. Treatment is based on the removal of the carious material and then filling the cavity left in the tooth, most commonly with amalgam or composite resin. The consequences of filling failure include repeating the filling or performing another treatment such as a root canal or extraction. Dental amalgam contains mercury, and there is a global effort to reduce its use. However, no consensus has been reached regarding whether amalgam or composite resin materials are more durable, and which is the best restorative material, when using randomized clinical trials. To determine which material is superior, we performed a retrospective cohort study using a large database where the members of 58 dental clinics with 440 dental units were treated. The number of failures of the amalgam compared to composite resin restorations between 2014 and 2021 were compared. Our data included information from over 650,000 patients. Between 2014-2021, 260,905 patients were treated. In total, 19,692 out of the first 113,281 amalgam restorations failed (17.49%), whereas significantly fewer composite restorations failed (11.98%) with 65,943 out of 555,671. This study indicates that composite is superior to amalgam and therefore it is reasonable to cease using mercury-containing amalgam.

One of the most promising areas of research in palaeomicrobiology is the study of the human microbiome. In particular, ancient dental calculus helps to reconstruct a substantial share of oral microbiome composition by mapping together human evolution with its state of health/oral disease. This review aims to trace microbial characteristics in ancient dental calculus to describe the evolution of the human host-oral microbiome relationship in oral health or disease in children and adults. Following the PRISMA-Extension for Scoping Reviews guidelines, the main scientific databases (PubMed, Scopus, Lilacs, Cochrane Library) have been drawn upon. Eligibility criteria were established, and all the data collected on a purpose-oriented collection form were analysed descriptively. From the initial 340 records, only 19 studies were deemed comprehensive enough for the purpose of this review. The knowledge of the composition of ancient oral microbiomes has broadened over the past few years thanks to increasingly well-performing decontamination protocols and additional analytical avenues. Above all, metagenomic sequencing, also implemented by state-of-the-art bioinformatics tools, allows for the determination of the qualitative-quantitative composition of microbial species associated with health status and caries/periodontal disease. Some microbial species, especially periodontal pathogens, do not appear to have changed in history, while others that support caries disease or oral health could be connected to human evolution through lifestyle and environmental contributing factors.

Poor oral health is an important concern for athletes, as it can affect both general health and athletic performance. The aim of this study is to investigate the effects of activity in chlorinated water on oral health in elite swimmers compared to non-swimming athletes. This cross-sectional study included 101 swimmers and 100 other athletes aged 13-26 years with a minimum training intensity of five hours per week (for at least the preceding two years). Oral health was assessed using the approximal plaque index (API) and the decayed/missing/filled teeth (DMFT) index. A DIAGNOcam was used to detect caries. Results show that swimmers were younger (15 years vs. 18 years), were more likely to be female (54% vs. 17%), and had a lower body mass index (20.1 kg/m2 vs. 21.9 kg/m2) and a lower juice consumption (9% vs. 24%). Non-swimmers had significantly more decayed, missing, or filled teeth due to caries and plaque. In conclusion, by comparing elite swimmers and athletes competing in different sports, we have shown that competitive swimmers have a lower incidence of dental caries and plaque. Further research is needed to test our findings and to understand this relationship in greater detail.

The 2017 Global Disease Study revealed 2.3 billion untreated cavities and 139 million other oral conditions like dental erosion. Modern treatments prioritise controlling etiological factors and preventing related diseases. This Editorial invites researchers to contribute to the collection, \'Prevention and management of dental erosion and decay\'.

Background: General anesthesia is an approach used to address behavior issues in pediatric dentistry. This indication often relies on the practitioner\'s discretion rather than objective criteria. We developed SCAN-score to assist pediatric dentists in the case of doubt to indicate general anesthesia for uncooperative children. The study aims were to assess the validity of the SCAN-score, which aims to indicate general anesthesia or chairside management for dental care. Methods: A retrospective study was performed on children aged between 2 and 10 years who received dental care. The SCAN-score combined three item scales (age, need of care, behavior) and three additional factors: communication barriers, permanent teeth caries, and local anesthesia contraindications. Mean scores were estimated. An ROC curve was constructed with sensitivities and specificities obtained. Results: The study included 284 children, with 154 treated through chairside methods and 130 treated under general anesthesia. The mean score was 5.6 ± 2.8 in the chairside management group and 12.9 ± 1.9 in the general anesthesia group. The sensitivity of the score (cutoff at 10) was 0.99, and the specificity was 0.94. The estimate of the ROC is 0.994. Conclusions: The SCAN-score appears to be an excellent tool to support the practitioner\'s decision to refer to general anesthesia care.

The benefits of breastfeeding on the health of infants and mothers are no longer in doubt. On the other hand, the advantages in terms of maxillofacial development and the risks of prolonged breastfeeding on oral health are much less discussed. An exploratory qualitative study, carried out within the pediatric dentistry functional unit of the dental care service of the Lille University Hospital Center in 2022, aimed to analyze the knowledge, attitudes and practices in oral health of breastfeeding women. This article will discuss the gaps in prevention as well as the obstacles and levers to improving care.

BACKGROUND: Dental caries, also known as tooth decay, is a widespread and long-standing condition that affects people of all ages. This ailment is caused by bacteria that attach themselves to teeth and break down sugars, creating acid that gradually wears away at the tooth structure. Tooth discoloration, pain, and sensitivity to hot or cold foods and drinks are common symptoms of tooth decay. Although this condition is prevalent among all age groups, it is especially prevalent in children with baby teeth. Early diagnosis of dental caries is critical to preventing further decay and avoiding costly tooth repairs. Currently, dentists employ a time-consuming and repetitive process of manually marking tooth lesions after conducting radiographic exams. However, with the rapid development of artificial intelligence in medical imaging research, there is a chance to improve the accuracy and efficiency of dental diagnosis.
METHODS: This study introduces a data-driven model for accurately diagnosing dental decay through the use of Bitewing radiology images using convolutional neural networks. The dataset utilized in this research includes 713 patient images obtained from the Samin Maxillofacial Radiology Center located in Tehran, Iran. The images were captured between June 2020 and January 2022 and underwent processing via four distinct Convolutional Neural Networks. The images were resized to 100 × 100 and then divided into two groups: 70% (4219) for training and 30% (1813) for testing. The four networks employed in this study were AlexNet, ResNet50, VGG16, and VGG19.
RESULTS: Among different well-known CNN architectures compared in this study, the VGG19 model was found to be the most accurate, with a 93.93% accuracy.
CONCLUSIONS: This promising result indicates the potential for developing an automatic AI-based dental caries diagnostic model from Bitewing images. It has the potential to serve patients or dentists as a mobile app or cloud-based diagnosis service (clinical decision support system).

BACKGROUND: Poor oral health has been linked to various systemic diseases, including multiple cancer types, but studies of its association with lung cancer have been inconclusive.
METHODS: We examined the relationship between dental status and lung cancer incidence and mortality in the Golestan Cohort Study, a large, prospective cohort of 50,045 adults in northeastern Iran. Cox proportional hazards models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for associations between three dental health measures (i.e., number of missing teeth; the sum of decayed, missing, or filled teeth (DMFT); and toothbrushing frequency) and lung cancer incidence or mortality with adjustment for multiple potential confounders, including cigarette smoking and opium use. We created tertiles of the number of lost teeth/DMFT score in excess of the loess adjusted, age- and sex-specific predicted numbers, with subjects with the expected number of lost teeth/DMFT or fewer as the reference group.
RESULTS: During a median follow-up of 14 years, there were 119 incident lung cancer cases and 98 lung cancer deaths. Higher DMFT scores were associated with a progressively increased risk of lung cancer (linear trend, p = 0.011). Compared with individuals with the expected DMFT score or less, the HRs were 1.27 (95% CI: 0.73, 2.22), 2.15 (95% CI: 1.34, 3.43), and 1.52 (95% CI: 0.81, 2.84) for the first to the third tertiles of DMFT, respectively. The highest tertile of tooth loss also had an increased risk of lung cancer, with a HR of 1.68 (95% CI: 1.04, 2.70) compared with subjects with the expected number of lost teeth or fewer (linear trend, p = 0.043). The results were similar for lung cancer mortality and did not change substantially when the analysis was restricted to never users of cigarettes or opium. We found no associations between toothbrushing frequency and lung cancer incidence or mortality.
CONCLUSIONS: Poor dental health indicated by tooth loss or DMFT, but not lack of toothbrushing, was associated with increased lung cancer incidence and mortality in this rural Middle Eastern population.

OBJECTIVE: To evaluate the presence of sleep disorders, obesity and anxiety associated with cavitated carious lesions in children aged 8 to 10 years.
METHODS: A cross-sectional study was carried out in the Northeast of Brazil. The sample was comprised of 793 schoolchildren randomly selected from public and private schools. Calibrated examiners (Kappa >0.80) performed the clinical examination of dental caries using the International Caries Detection and Assessment System and applied the Revised Children\'s Manifest Anxiety Scale and the Sleep Disturbance Scale for Children questionnaires. The anthropometric variables evaluated were weight and height. Negative binomial regressions (α ≤ 0.05) were performed. A Directed Acyclic Graph was prepared using DAGitty software (version 3.0), to select the co-variables for the statistical fits.
RESULTS: The prevalence of tooth decay was 52.8%. The mean number of tooth surfaces with cavitated caries was 2.2(2.8), 58.9% of the schoolchildren had some type of sleep disorder, while 20.2% were anxious and 29.1% were obese. Sleep disturbance (RR = 1.38; 95% CI: 1.05-1.83), general anxiety (RR = 1.71; 95% CI: 1.32-2.21), obesity (RR = 1.48; 95% CI: 1.17-1.86) were associated with dental caries in the final model.
CONCLUSIONS: The presence of carious lesions was higher in children with sleep disorders, anxiety, obesity, and those who experienced dry mouth.

Tooth decay and periodontal diseases are the main oral pathologies in the world. The prevalence of overweight in children has increased worldwide. Overweight children have alterations in the composition of saliva and excessive consumption of saturated fatty acids tend to slow the metabolism of carbohydrates in the oral cavity leading to tooth decay, periodontal disease and others oral disorders. The aim of this study was to assess the relationship between oral pathologies and overweight in pupils of primary schools of Cameroon.
A cross-sectional study was carried out from June to August 2020 in four government primary schools selected through cluster sampling in Yaounde. 650 pupils aged between 6 and 11 years were enrolled. Data collected included anthropometric, oral pathologies, quality of oral hygiene and feeding habits. Data were analysed with the SPSS 26.0 statistical software and binary logistic regression was used to determine the risks of oral pathologies in overweight pupils. P-value of 0.05 was considered statistically significant.
The prevalence of overweight was 27% (95% CI: 23.5-30.5). The main oral pathologies was tooth decay (60.3%). Binary logistic regression revealed that overweight pupils were significantly 1.5 times more likely to develop tooth decay than non-overweight pupils (95% CI: 1.1-2.4).
Overweight, tooth decay are prevalent among pupils. Overweight pupils have a higher risk of developing tooth decay compared to non-obese pupils. An integrated package of oral and nutritional health promotion activities is necessary in primary schools in Cameroon.