Introduction: Oral health in children is essential for their overall well-being, influencing nutrition, language development, and self-esteem. Dental caries represent one of the most prevalent chronic diseases in childhood. Objective: The objective of this study is to evaluate the association between parents’ self-perceived knowledge of oral health and the presence of dental caries in their children. Materials and Methods: A cross-sectional observational study was conducted with 1052 children aged 4 to 14 years and their parents in Quito, Ecuador. Parents completed validated questionnaires (OHIP-14, OIDP, CPQ, and OHQoL-UK) to assess their self-perceived oral health knowledge. Clinical examinations were performed to detect cavitated carious lesions. Statistical analysis included Chi-square tests and odds ratio (OR) calculations. Results: A significant association was found between lower parental knowledge and higher prevalence of dental caries in children (Chi-square = 16.245, p = 0.0062; OR = 18.18, 95% CI [1.80–183.75]). Most caries cases were found in children whose parents rated their knowledge as “good” or “very good,” suggesting a gap between perceived and actual knowledge. Conclusions: The findings highlight the need for targeted educational strategies that address both knowledge and behavioral practices in oral health, especially among parents with low self-perceived knowledge.

Introduction: Drug side effects are a relevant problem for patient safety and public health, and traditional methods have limitations in capturing complex patterns between clinical and pharmacological variables. Objective: To evaluate machine learning models to probabilistically predict multiple side effects associated with drug use. Materials and methods: A cross-sectional computational study was carried out with data from 1000 medications that included clinical condition, dosage and duration of treatment. Random Forest, Decision Tree, Support Vector Classifier and KNN were trained and optimized using Grid Search and an 80:20 split for training and testing. Chi-square tests and Principal Component Analysis were applied to explore associations and overlap between categories. Results: Significant associations were found between side effects and clinical condition (p < 0.05) and the drug administered (p < 0.05). The PCA showed a high overlap between categories, which justified a probabilistic approach. Tree-based models showed better performance (accuracy ≈ 0.35). Conclusions: Prediction of side effects is a multifactorial and non-deterministic problem; probabilistic machine learning models allow for estimating several plausible adverse events and can support clinical decision-making and pharmacovigilance.

Background: Oral diseases such as periodontitis, dental infections, and oral dysbiosis have been increasingly associated with systemic conditions. Emerging evidence suggests a potential relationship between oral health and neurological disorders, including brain abscesses, structural brain alterations, and gliomas. However, the strength and mechanisms of these associations remain incompletely understood. Objective: To systematically review clinical, neuroimaging, genetic, and mechanistic evidence linking oral diseases with brain pathologies. Methods: A systematic literature search was conducted in PubMed, Scopus, Web of Science, and EBSCO, with complementary screening of SciELO, Redalyc, and LILACS databases. Studies evaluating associations between oral diseases (periodontitis, dental infections, caries, or oral microbiota alterations) and neurological outcomes were considered. Eligible study designs included observational clinical studies, Mendelian randomization analyses, neuroimaging studies, and experimental investigations. Seventeen studies met the inclusion criteria. Due to the substantial heterogeneity in study designs, outcomes, and effect metrics, quantitative meta-analysis was not feasible. Findings were therefore synthesized using a structured narrative approach following PRISMA guidelines. Results: Clinical studies consistently identified odontogenic infections as a relevant source of brain abscesses, frequently originating from chronic or clinically silent dental foci. Neuroimaging and genetic studies reported associations between poor oral health indicators and structural brain alterations, including reduced cortical thickness and white matter abnormalities. Experimental investigations suggested potential biological mechanisms involving microbial dissemination, systemic inflammation, and immune modulation. Virulence factors from Porphyromonas gingivalis have been shown to induce inflammatory signaling pathways and immune checkpoint activation in glioma cells. Conclusions: The current evidence suggests a possible association between oral diseases and several brain pathologies. Although causality cannot be established, the findings highlight the importance of oral health as a potentially modifiable factor relevant to neurological health. Further longitudinal and mechanistic studies are required to clarify these relationships.

Background: Temporomandibular disorders (TMD) are multifactorial musculoskeletal conditions frequently associated with chronic pain, inflammation, and functional impairment. Increasing evidence suggests that oxidative stress may contribute to the pathophysiology of TMD, and salivary biomarkers have emerged as a promising non-invasive approach for evaluating these biological alterations. Objective: This systematic review and meta-analysis aimed to systematically evaluate and quantitatively synthesize the available evidence regarding salivary oxidative stress biomarkers in patients with temporomandibular disorders compared with healthy controls. Materials and Methods: A systematic review and meta-analysis were conducted according to PRISMA 2020 guidelines and prospectively registered in PROSPERO. Electronic searches were performed in PubMed/MEDLINE, Embase, Scopus, and Web of Science databases. Observational studies and clinical trials evaluating salivary oxidative stress biomarkers in patients with TMD were included. The primary biomarkers assessed were malondialdehyde (MDA), total antioxidant capacity (TAC), and catalase activity (CAT). Data extraction and risk of bias assessment were independently performed by two reviewers using the Newcastle–Ottawa Scale and RoB 2 tool when applicable. Random-effects meta-analyses were conducted using weighted or standardized mean differences with 95% confidence intervals. Included studies demonstrated substantial methodological variability regarding TMD diagnostic criteria, saliva collection protocols, biomarker assays, and sampling conditions. Results: Pooled analyses showed significantly elevated salivary malondialdehyde levels in patients with TMD compared with healthy controls, suggesting increased lipid peroxidation and oxidative stress activity. In contrast, total antioxidant capacity and catalase activity demonstrated inconsistent and non-significant findings across studies. Considerable heterogeneity was identified among studies, limiting the comparability and interpretability of pooled estimates. Salivary oxidative stress biomarkers, particularly malondialdehyde, appear to be associated with temporomandibular disorders and may reflect underlying oxidative and inflammatory mechanisms. Conclusions: However, substantial methodological heterogeneity and lack of standardized protocols currently limit their clinical applicability. Future well-designed longitudinal studies using harmonized diagnostic and analytical methodologies are required to clarify their translational value in TMD assessment.

Background: Although toothbrushing is widely recognized as a cornerstone of caries prevention, oral hygiene has traditionally been assessed using self-reported frequency or categorical plaque indices. Evidence regarding the relationship between objectively quantified brushing efficacy and cumulative caries severity remains limited. This study evaluated the association between a quantitative brushing efficacy index and dental caries severity among schoolchildren. Methods: A cross-sectional analytical study was conducted among 200 schoolchildren examined during a community dental campaign in 2025. Caries was assessed using Decayed, Missing, Filled Teeth indices following Word Health Organization criteria. Severe caries was defined as Decayed, Missing, Filled Teeth ≥5. Oral hygiene was measured using a brushing efficacy index, expressed as the percentage of biofilm removed after supervised brushing. Associations were evaluated using chi-square tests and logistic regression models adjusted for age and sex. Results: Caries prevalence was 95.5%, with a mean Decayed, Missing, Filled Teeth of 4.99 ± 2.96. Severe caries was observed in 49% of participants. No statistically significant differences were found across tertiles of brushing efficacy (χ² (2) =2.18; p=0.336). In regression analysis, each 10% increase in brushing efficacy was not significantly associated with severe caries (adjusted OR=0.92; 95% CI: 0.81–1.03; p=0.154), although a protective trend was observed. Conclusions: This population exhibited an extremely high burden of dental caries. Quantitative brushing efficacy showed a non-significant protective trend, suggesting that in high-risk contexts, caries severity is influenced by multifactorial determinants beyond isolated oral hygiene performance.

Background: Obstructive sleep apnea (OSA) is a prevalent sleep-related breathing disorder associated with multiple systemic comorbidities. Gastroesophageal reflux disease (GERD) has been frequently reported among patients with OSA; however, the magnitude of this association remains uncertain. Objective: To systematically evaluate and quantify the association between obstructive sleep apnea and gastroesophageal reflux disease in adult populations. Methods: A systematic review and meta-analysis were conducted in accordance with PRISMA guidelines and a protocol registered in PROSPERO (CRD420261278563). Electronic searches were performed in PubMed/MEDLINE, Scopus, Web of Science, and Embase. Observational studies assessing the association between OSA and GERD were included. Risk of bias was assessed using the Newcastle–Ottawa Scale. A random-effects meta-analysis was performed to pool odds ratios (ORs) with 95% confidence intervals (CIs). Results: Six observational studies were included in the quantitative synthesis. The pooled analysis demonstrated a statistically significant association between obstructive sleep apnea and gastroesophageal reflux disease, with a combined OR of 1.96. Moderate heterogeneity was observed among studies (I² = 65%). No substantial evidence of publication bias was identified based on funnel plot assessment. Conclusions: These findings suggest that obstructive sleep apnea is associated with nearly two-fold increased odds of gastroesophageal reflux disease and support increased clinical awareness rather than formal screening recommendations.