Impact of bariatric surgery on oral health: a systematic review and meta-analysis.

OBJECTIVE: To evaluate the impact of bariatric surgery (BS) on the oral health status of obese individuals. MATERIAL AND METHODS: The search was performed on the Cochrane Library, Embase, Latin American and Caribbean Literature on Health Sciences (LILACS), LIVIVO, PubMed/Medline, Scopus, and Web of Science databases. Grey literature was also consulted through Google Scholar, OpenGrey, ProQuest, and MedRxiv. The risk of bias was assessed using the Joanna Briggs Institute Critical Appraisal tool. Pre- and post-surgical moments were compared through random effects meta-analysis. The GRADE (Grading of Recommendations, Assessment, Development and Evaluations) assessment tool was used to judge the certainty of evidence. RESULTS: After searching the databases, 908 references were retrieved, with 30 articles selected for synthesis. When comparing the pre- and postoperative moments, there was no difference in the index of decayed, missing, or filled teeth. Furthermore, salivary flow and probing depth presented a slight increase. Post-surgery patients showed an increase (%) in tooth wear at the dentin level [MD = -6.23; IC95% = -8.45--4.01; I2 = 0%]. CONCLUSION: Patients undergoing BS show no difference when considering the rate of caries or missing teeth and little to no effect was observed on salivary flow rates and periodontal probing depth. On the other hand, greater attention should be given to dentin wear in post-surgical patients of BS. CLINICAL RELEVANCE: Patients undergoing BS should receive careful monitoring regarding oral health by doctors, dentists, and the entire multidisciplinary team involved before and after the surgical procedure.

Prevalence of signs and symptoms related to temporomandibular disorders and orofacial pain in patients indicated for orthognathic surgery: a meta-analysis.

OBJECTIVE: To evaluate the prevalence of signs and symptoms related to temporomandibular disorders (TMD) and orofacial pain in patients with indication for orthognathic surgery. METHODS: The search was carried out in seven electronic databases and gray literature. Studies that evaluated the frequency of signs and symptoms related to TMD and orofacial pain were included. The risk of bias was assessed using the Joanna Briggs Critical Appraisal tool. A meta-analysis of proportions with a random effect model was performed and the GRADE tool judged the certainty of evidence. RESULTS: After searching the databases, 1859 references were retrieved, 18 of which were selected for synthesis. The prevalence of individuals with at least one TMD symptom was 51% [CI95% = 44-58%], and 44% of the subjects had temporomandibular joint click/crepitus [CI95% = 37-52%]. Additionally, 28% exhibited symptoms related to muscle disorders [CI95% = 22-35%], 34% had disc displacement with or without reduction [CI95% = 25-44%], and 24% had inflammatory joint disorders [CI95% = 13-36%]. The prevalence of headache was 26% [CI95% = 8-51%]. The certainty of evidence was considered very low. CONCLUSION: Approximately 1 in 2 patients with dentofacial deformity presents some sign and symptom related to TMD. Myofascial pain and headache may be present in approximately a quarter of patients with dentofacial deformity. CLINICAL RELEVANCE: A multidisciplinary treatment is necessary for these patients, involving a professional with expertise in the management of TMD.

Sex determination through maxillary dental arch and skeletal base measurements using machine learning.

BACKGROUND: Cranial, facial, nasal, and maxillary widths have been shown to be significantly affected by the individual's sex. The present study aims to use measurements of dental arch and maxillary skeletal base to determine sex, employing supervised machine learning. MATERIALS AND METHODS: Maxillary and mandibular tomographic examinations from 100 patients were analyzed to investigate the inter-premolar width, inter-molar width, maxillary width, inter-pterygoid width, nasal cavity width, nostril width, and maxillary length, obtained through Cone Beam Computed Tomography scans. The following machine learning algorithms were used to build the predictive models: Logistic Regression, Gradient Boosting Classifier, K-Nearest Neighbors (KNN), Support Vector Machine (SVM), Multi-Layer Perceptron Classifier (MLP), Decision Tree, and Random Forest Classifier. A 10-fold cross-validation approach was adopted to validate each model. Metrics such as area under the curve (AUC), accuracy, recall, precision, and F1 Score were calculated for each model, and Receiver Operating Characteristic (ROC) curves were constructed. RESULTS: Univariate analysis showed statistical significance (p < 0.10) for all skeletal and dental variables. Nostril width showed greater importance in two models, while Inter-molar width stood out among dental measurements. The models achieved accuracy values ranging from 0.75 to 0.85 on the test data. Logistic Regression, Random Forest, Decision Tree, and SVM models had the highest AUC values, with SVM showing the smallest disparity between cross-validation and test data for accuracy metrics. CONCLUSION: Transverse dental arch and maxillary skeletal base measurements exhibited strong predictive capability, achieving high accuracy with machine learning methods. Among the evaluated models, the SVM algorithm exhibited the best performance. This indicates potential usefulness in forensic sex determination.

Periodontal parameters in orthodontically tractioned teeth: A systematic review and meta-analysis.

Objective: This systematic review aimed to evaluate periodontal parameters in orthodontically tractioned teeth compared with the respective non-tractioned contralateral teeth. Methods: Search strategies were developed for six electronic databases and gray literature. Random-effects meta-analyses were performed for the outcomes of interest. Furthermore, the certainty of the evidence was assessed using the GRADE (Grading of Recommendations Assessment, Development, and Evaluation) tool. Results: Overall, 2,082 articles were identified, of which 24 were selected for the qualitative synthesis. A significant difference was observed between the impacted and contralateral teeth (mean difference [MD] = 0.25; 95% confidence interval [CI] = 0.10-0.40; I2 = 0%) when the gingival index was evaluated. Additionally, impacted teeth showed a greater probing depth, with a significant mean difference between the groups (MD = 0.14; 95% CI = 0.07-0.20; I2 = 6%). Most studies had a low risk of bias; however, the certainty of the evidence was very low owing to the design of existing studies. Conclusions: The evidence in the literature indicated that tractioned teeth might show worsening of periodontal parameters related to the gingival index and probing depth; however, the evidence remains uncertain about this outcome. Furthermore, probing depth should be considered regarding its clinical significance because of the small effect size observed.