Publications by authors named "Josue Roberto Bermeo-Escalona"

Background: A dental anesthesia simulation model (DASM) is a tool for the teaching and learning of local dental anesthesia techniques. We investigated how dental anesthesia teachers (DATs) perceive the value of those tools.

Objective: The objective of this study was to investigate the following: the characteristics of the dental anesthesia curriculum used by DATs in Mexico; the DATs' opinion of ethical issues in the teaching of local dental anesthesia; the DATs' perception of the value of using a DASM to teach local dental anesthesia; and the characteristics of the implementation of a DASM by DATs.

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Background: In Mexico and around the world, water in dental units, including triple syringes, comes from municipal chlorinated water mains. The microbial contamination of dental unit water systems constitutes a risk factor for opportunistic infections.

Objectives: The present work aimed to identify the bacteria present in the triple-syringe water lines of dental units at a dental school of a public university in Mexico, with a hypothesis that opportunistic bacteria of importance to human health would be found.

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Tobacco use is associated with diseases worldwide, including cancer. This is one of the major public health problems globally, causing more than 19 million new cases in 2020. Lip and oral cavity cancer (LOCC) is neoplastic growth in the tongue, gums, and lips.

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Introduction: A simulation model improves the learning of dental anaesthesia in dental students. This study explored first, the making at home of a dental anaesthesia simulation model by dental students, and second, the impact of that simulation model on the learning of dental students following an online course. We compared the level of knowledge, the level of perception of confidence to perform the basic injection technique (BIT) of dental anaesthesia, and the level of attitude towards e-learning of the BIT between a group of dental students who had an online course with a home-made dental anaesthesia simulation model (HMDASM) and a group of dental students who did not use that model.

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Introduction: Pell & Gregory and Winter classifications are basic in third molar categorization; Sánchez-Torres classification is used in Mexico, but it has not been previously evaluated.

Objective: To assess the degree of agreement in the radiographic evaluation of impacted mandibular third molar with the use of three classifications: Pell & Gregory, Winter and Sánchez-Torres.

Method: Observational, descriptive, inter-observer degree of agreement study that included 10 oral and maxillofacial surgeons and 10 training residents, who recorded the radiographic categorization of third mandibular molars (left and right) according to Pell and Gregory, Sánchez-Torres and Winter classifications.

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Purpose: The objectives of this scoping review were: first, to pose a research question; second, to identify relevant studies to answer the research question; third, to select and retrieve the studies; fourth, to chart the critical data; and finally, to collate, summarise, and report the results from selected articles on the dental management of children affected with autism.

Materials And Methods: Relevant articles (randomised controlled trials, reviews, observational studies, and clinical case reports) published over an 11-year period were identified and retrieved from five internet databases: PubMed, Embase/Ovid, Cochrane Library, Google Scholar, and EBSCO.

Results: By title and abstract screening and after removing duplicates, 25 articles were finally included in the present scoping review.

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Objective: To evaluate the effectiveness of Toki's criteria in identifying the HPV L1 protein in oral lesions with the use of immunohistochemistry (IHC) and to determine which criteria optimize such identification.

Study Design: Retrospective study of 277 cases diagnosed as HPV lesions at 22 years. Tests of sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), kappa coefficients, and chi2 values, as well as two logistic regression analyses (p≤0.

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