Capacidade terapêutica da fitoterapia na odontologia: uma análise abrangente das proteínas antimicrobianas, anti-inflamatórias e reparadoras / Therapeutic capacity of phytotherapy in dentistry: a comprehensive analysis of antimicrobial, anti-inflammatory, and reparative properties

Introdução: A fitoterapia se baseia na utilização de plantas medicinais, através de diferentes formulações farmacêuticas com fins terapêuticos. Na Odontologia, os fitoterápicos têm sido alvo de estudos, devido suas propriedades benéficas, além de apresentarem biocompatibilidade, baixo custo e fácil acesso. Objetivo: Realizar um levantamento na literatura científica sobre a utilização da fitoterapia na Odontologia, com vistas aos efeitos antimicrobiano, anti-inflamatório e reparador. Material e Métodos: A busca ocorreu entre fevereiro a julho/2023, nas bases PubMed e LILACS, além de livre busca, cruzando-se os descritores "Phytotherapy", "Dentistry", "Anti-inflamatory Agents", "Anti-Infective Agents", "Wound Healing", "Fitoterapia", "Odontologia", "Anti-inflamatório", "Antimicrobiano" e "Cicatrização". Após leitura inicial, seguida da análise crítica com aplicação dos critérios estabelecidos, foram selecionadas 50 referências. Desenvolvimento: Diversas plantas são empregadas sob a forma de fitoterapia, como Aloe vera (babosa), Matricaria recutita (camomila), Copaifera (copaíba), Punica granatum (romã), Uncaria tomentosa (unha-de-gato), Malva sylvestris (malva), Althaea officinalis (malvaísco), Myracrodruon urundeuva (Aroeira), Lippia sidoides (Alecrim pimenta) e Glycyrrhiza glabra (Alcaçuz). Na Odontologia, pesquisas evidenciaram resultados satisfatórios para o tratamento de afecções da cavidade oral, especialmente com caráter inflamatório e infeccioso, além de aclerar a cicatrização. Esses achados apontam que a fitoterapia é um tratamento eficaz, acessível e com mínimos efeitos colaterais. Considerações finais: Com base na literatura revisada, a fitoterapia parece ser uma alternativa promissora no tratamento de afecções orais, devido aos seus notáveis efeitos cicatrizantes, antimicrobianos e anti-inflamatórios. Contudo, mais pesquisas com metodologias adequadas são necessárias para que se estabeleçam protocolos clínicos seguros e eficazes.

Introduction: Phytotherapy is based on the use of medicinal plants through different pharmaceutical formulations for therapeutic purposes. In Dentistry, phytotherapeutics have been the subject of studies due to their beneficial properties, as well as their biocompatibility, low cost, and easy accessibility. Objective: To conduct a literature review on the use of phytotherapy in Dentistry, focusing on antimicrobial, anti-inflammatory, and reparative effects. Materials and Methods: The search took place between February and July 2023, using PubMed and LILACS databases, in addition to a free search, crossing the descriptors "Phytotherapy," "Dentistry," "Anti-inflammatory Agents," "Anti-Infective Agents," "Wound Healing," "Fitoterapia," "Odontologia," "Anti-inflammatory," "Antimicrobial," and "Cicatrização." After an initial reading, followed by critical analysis with the application of established criteria, 50 references were selected. Development: Various plants are employed in phytotherapy, such as Aloe vera (aloe), Matricaria recutita (chamomile), Copaifera (copaiba), Punica granatum (pomegranate), Uncaria tomentosa (cat's claw), Malva sylvestris (mallow), Althaea officinalis (marshmallow), Myracrodruon urundeuva (Brazilian copaiba), Lippia sidoides (rosemary pepper), and Glycyrrhiza glabra (licorice). In Dentistry, research has shown satisfactory results for the treatment of oral cavity conditions, especially those with inflammatory and infectious characteristics, as well as accelerating healing. These findings suggest that phytotherapy is an effective, accessible treatment with minimal side effects. Final considerations: Based on the reviewed literature, phytotherapy appears to be a promising alternative in the treatment of oral conditions due to its notable healing, antimicrobial, and anti-inflammatory effects. However, more research with appropriate methodologies is necessary to establish safe and effective clinical protocols.

O emprego da moldagem digital na prática odontológica - relato de caso / The use of digital molding in dental practice ­ case report

O avanço da tecnologia de digitalização de imagens e desenvolvimento de dispositivos de fresagem possibilitaram a otimização de diversos processos na Odontologia. O emprego do escaneamento intraoral e do sistema CAD-CAM (CAD - Computer Aided Design; CAM - Computer Aided Manufacturing) aprimorou a realização de reabilitações protéticas, permitindo a obtenção de peças de alta qualidade em tempo reduzido. O objetivo deste trabalho é relatar um caso de reabilitação de um incisivo central inferior a partir de escaneamento intraoral, com scanner Omnicam (DentsplySirona Charlotte, NC, EUA) e aplicação do sistema CAD-CAM.

The advancement of image digitization technology and the development of milling devices have made it possible to optimize various processes in Dentistry. The use of intraoral scanning and the CAD-CAM system (CAD - Computer Aided Design; CAM - Computer Aided Manufacturing) has improved the performance of prosthetic rehabilitations, allowing the obtaining of high quality parts in a reduced time. The objective of this work is to report a case of rehabilitation of a lower central incisor using intraoral scanning, with an Omnicam scanner (Dentsply Sirona) and application of the CAD-CAM system.

The Effect of Coronavirus Disease 2019 and Other Emerging Infections on Dentistry.

The appearance of coronavirus disease 2019 (COVID-19) and other emerging infections has significantly impacted the field of dentistry, leading to widespread changes in practices and protocols. This has included the implementation of strict infection control measures, such as meticulous use of personal protective equipment, minimizing aerosol-generating procedures, and the adoption of teledentistry to reduce in-person contact. To date, the complete impact of delays in dental care caused by lockdowns has yet to be determined. The challenges faced during the COVID-19 pandemic have propelled innovation, shaping a new era of dentistry focused on safety against novel and re-emerging infections.

Performance of ChatGPT-3.5 and GPT-4 in national licensing examinations for medicine, pharmacy, dentistry, and nursing: a systematic review and meta-analysis.

BACKGROUND: ChatGPT, a recently developed artificial intelligence (AI) chatbot, has demonstrated improved performance in examinations in the medical field. However, thus far, an overall evaluation of the potential of ChatGPT models (ChatGPT-3.5 and GPT-4) in a variety of national health licensing examinations is lacking. This study aimed to provide a comprehensive assessment of the ChatGPT models' performance in national licensing examinations for medical, pharmacy, dentistry, and nursing research through a meta-analysis. METHODS: Following the PRISMA protocol, full-text articles from MEDLINE/PubMed, EMBASE, ERIC, Cochrane Library, Web of Science, and key journals were reviewed from the time of ChatGPT's introduction to February 27, 2024. Studies were eligible if they evaluated the performance of a ChatGPT model (ChatGPT-3.5 or GPT-4); related to national licensing examinations in the fields of medicine, pharmacy, dentistry, or nursing; involved multiple-choice questions; and provided data that enabled the calculation of effect size. Two reviewers independently completed data extraction, coding, and quality assessment. The JBI Critical Appraisal Tools were used to assess the quality of the selected articles. Overall effect size and 95% confidence intervals [CIs] were calculated using a random-effects model. RESULTS: A total of 23 studies were considered for this review, which evaluated the accuracy of four types of national licensing examinations. The selected articles were in the fields of medicine (n = 17), pharmacy (n = 3), nursing (n = 2), and dentistry (n = 1). They reported varying accuracy levels, ranging from 36 to 77% for ChatGPT-3.5 and 64.4-100% for GPT-4. The overall effect size for the percentage of accuracy was 70.1% (95% CI, 65-74.8%), which was statistically significant (p < 0.001). Subgroup analyses revealed that GPT-4 demonstrated significantly higher accuracy in providing correct responses than its earlier version, ChatGPT-3.5. Additionally, in the context of health licensing examinations, the ChatGPT models exhibited greater proficiency in the following order: pharmacy, medicine, dentistry, and nursing. However, the lack of a broader set of questions, including open-ended and scenario-based questions, and significant heterogeneity were limitations of this meta-analysis. CONCLUSIONS: This study sheds light on the accuracy of ChatGPT models in four national health licensing examinations across various countries and provides a practical basis and theoretical support for future research. Further studies are needed to explore their utilization in medical and health education by including a broader and more diverse range of questions, along with more advanced versions of AI chatbots.

Assessing transparency practices in dental randomized controlled trials.

BACKGROUND: To evaluate transparency practices in randomized controlled trials (RCTs) in dentistry. METHODS: This meta-research study included RCTs in dentistry regardless of topic, methods, or level of detail reported. Only studies in English were considered. We searched PubMed for RCTs in dentistry published in English from December 31, 2016, to December 31, 2021. The screening was performed in duplicate, and data extracted included journal and author details, dental specialty, protocol registration, data and code sharing, conflict of interest declaration, and funding information. A descriptive analysis of the data was performed. We generated maps illustrating the reporting of transparency items by country of the corresponding author and a heat table reflecting reporting levels by dental specialty. RESULTS: A total of 844 RCTs were included. Only 12.86% of studies reported any information about data and code sharing. Protocol registration was reported for 50.36% of RCTs. Conflict of interest (83.41%) and funding (71.68%) declarations were present in most studies. Conflicts of interest and funding were consistently reported regardless of country or specialty, while data and code sharing had a low level of reporting across specialties, as well as low dissemination across the world. Protocol registration exhibited considerable variability. CONCLUSIONS: Considering the importance of RCTs for evidence-based dentistry, it is crucial that everyone who participates in the scientific production and dissemination process actively and consistently promotes adherence to transparent scientific standards, particularly registration of protocols, and sharing of data and code.

Artificial intelligence applications in dentistry: A bibliometric review with an emphasis on computational research trends within the field.

BACKGROUND: The aim of this study was to understand the trends regarding the use of artificial intelligence in dentistry through a bibliometric review. TYPES OF STUDIES REVIEWED: The authors performed a literature search on Web of Science. They collected the following data: articles-number and density of citations, year, key words, language, document type, study design, and theme (main objective, diagnostic method, and specialties); journals-impact factor; authors-country, continent, and institution. The authors used Visualization of Similarities Viewer software (Leiden University) to analyze the data and Spearman test for correlation analysis. RESULTS: After selection, 1,478 articles were included. The number of citations ranged from 0 through 327. The articles were published from 1984 through 2024. Most articles were characterized as proof of concept (979). Definition and classification of structures and diseases was the most common theme (550 articles). There was an emphasis on radiology (333 articles) and radiographic-based diagnostic methods (715 articles). China was the country with the most articles (251), and Asia was the continent with the most articles (871). The Charité-University of Medicine Berlin was the institution with the most articles (42), and the author with the most articles was Schwendicke (53). PRACTICAL IMPLICATIONS: Artificial intelligence is an important clinical tool to facilitate diagnosis and provide automation in various processes.