E-learning has been used recently in dental curricula to support traditional learning methods. However, the published literature concerning e-learning in oral radiology has shown mixed conclusions. The aim of this systematic review was to provide a synthesis of the effectiveness of e-learning in oral radiology education when compared with traditional classroom learning methods. A search of the literature was conducted on the LILACS, PubMed, Science Direct, Scopus, and Web of Science databases. Trials registries were also consulted for ongoing trials, and a partial grey literature search was conducted. Controlled trials about oral radiology education that compared any e-learning method with a control group using any traditional classroom instruction method were included. E-learning effectiveness was measured using three outcomes from Kirkpatrick's model of evaluation: attitudes about e-learning, knowledge gain, and performance on clinical procedures. Data were analyzed descriptively. Qualitative appraisal was performed according to the Cochrane risk of bias tool for randomized trials and MINORS tool for non-randomized trials. Eleven studies met the inclusion criteria. Risk of bias was identified related to the selection procedures, blinding, lack of sample size calculation, and incomplete analyses. Ten studies reported that students had positive attitude when using e-learning. Results from the knowledge gain outcome were mixed. Only two studies examined performance on clinical procedures, showing contrasting results. The evidence reviewed in this study suggests that e-learning in oral radiology is at least as effective as traditional learning methods and that students have positive attitudes about e-learning.Ms. Santos is a postgraduate student,

Background:The COVID-19 pandemic health crisis has changed household and school routines leaving children and adolescents without important anchors in life. This, in turn, can influence their mental health, changing their behavioral and psychological conditions. Aims:To systematically review the literature to answer the question: "What is the worldwide prevalence of mental health effects in children and adolescents during the COVID-19 pandemic?".Methods: Embase, Epistemonikos database, LILACS, PsycINFO, PubMed, Scopus, Web of Science, and World Health Organization Global literature on coronavirus disease were searched. Grey literature was searched on Google Scholar, Grey Literature Report, and Preprint server MedRxiv. Observational studies assessing the prevalence of mental health effects in children and adolescents during the COVID-19 pandemic were included. Four authors independently collected the information and assessed the risk of bias of the included studies.Results: From a total of 11,925 identified studies, 2873 remained after the removal of the duplicated records. Nineteen studies remained after the final selection process.

Metabolic alterations are a hallmark of the malignant transformation in cancer cells, which is characterized by multiple changes in metabolic pathways that are linked to macromolecule synthesis. This study aimed to explore whether salivary metabolites could help discriminate between breast cancer patients and healthy controls. Saliva samples from 23 breast cancer patients and 35 healthy controls were subjected to untargeted metabolomics using liquid chromatography-quadrupole time-of-flight mass spectrometry and a bioinformatics tool (XCMS Online), which revealed 534 compounds, characterized by their retention time in reverse-phase liquid chromatography and by the m/z ratio detected, that were shared by the two groups. Using the METLIN database, 31 compounds that were upregulated in the breast cancer group (p < 0.05) were identified, including seven oligopeptides and six glycerophospholipids (PG14:2, PA32:1, PS28:0, PS40:6, PI31:1, and PI38:7). In addition, pre-treatment and post-treatment saliva samples were analyzed for 10 patients who experienced at least a partial response to their treatment. In these patients, three peptides and PG14:2 were upregulated before but not after treatment. The area under the curve, sensitivity, and specificity for PG14:2 was 0.7329, 65.22%, and 77.14%, respectively. These results provide new information regarding the salivary metabolite profiles of breast cancer patients, which may be useful biomarkers.

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