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        검색결과 2

        1.
        2023.09 KCI 등재후보 구독 인증기관 무료, 개인회원 유료
        Peri-implantitis is a disease affecting the tissue surrounding dental implants, destroying both soft and hard tissues. A total of 2,015 studies were collected by searching items in the National Library of Medicine, including keywords, such as “peri-implantitis,” “microbiota,” and “microbiome.” Of them, 62 studies were screened and considered eligible for analysis. Only 16 studies qualified all criteria mentioned here: “Using PCR methods for microorganism detection,” “Suggesting quantified results,” “Stating obvious clinical diagnosis criteria (“Bleeding on probing,” “Probing pocket depth,” “Suppuration,” and “Radiographic bone loss”).” Only 8 studies were included in the meta-analysis because the others had special issues. Porphyromonas gingivalis , Tannerella forsythia , Treponema denticola , Aggregatibacter actinomycetemcomitans, Prevotella intermedia , and Epstein-Barr virus were the microbiological subjects of analysis. The odds ratio (OR) between the healthy implants and peri-implantitis were calculated for each microorganism to compare two groups, and the forest plots were suggested as the visual materials. P. gingivalis (1.392 < OR < 2.841), T. forsythia (1.345 < OR < 3.221), T. denticola (2.180 < OR < 5.150), A. actinomycetemcomitans (1.975 < OR < 6.456), P. intermedia (1.245 < OR < 3.612), and Epstein-Barr virus (1.995 < OR < 9.383). The species showed that their 95% confidence interval of odds ratio was higher than 1, indicating that they were detected more frequently in periimplantitis than in healthy implants. Meanwhile, other species, such as Fusobacterium nucleatum and Staphylococcus aureus, were not included in the meta-analysis because the number of studies was insufficient.
        4,500원
        2.
        2023.06 KCI 등재후보 구독 인증기관 무료, 개인회원 유료
        The rapid detection of bacteria in the oral cavity, its species identification, and bacterial count determination are important to diagnose oral diseases caused by pathogenic bacteria. The existing clinical microbial diagnosis methods are time-consuming as they involve observing patients’ samples under a microscope or culturing and confirming bacteria using polymerase chain reaction (PCR) kits, making the process complex. Therefore, it is required to analyze the development status of substances and systems that can rapidly detect and analyze pathogenic microorganisms in the oral cavity. With research advancements, a close relationship between oral and systemic diseases has been identified, making it crucial to identify the changes in the oral cavity bacterial composition. Additionally, an early and accurate diagnosis is essential for better prognosis in periodontal disease. However, most periodontal diseasecausing pathogens are anaerobic bacteria, which are difficult to identify using conventional bacterial culture methods. Further, the existing PCR method takes a long time to detect and involves complicated stages. Therefore, to address these challenges, the concept of point-of-care (PoC) has emerged, leading to the study and implementation of various chair-side test methods. This study aims to investigate the different PoC diagnostic methods introduced thus far for identifying pathogenic microorganisms in the oral cavity. These are classified into three categories: 1) microbiological tests, 2) microchemical tests, and 3) genetic tests. The microbiological tests are used to determine the presence or absence of representative causative bacteria of periodontal diseases, such as A. actinomycetemcomitans , P. gingivalis , P. intermedia , and T. denticola . However, the quantitative analysis remains impossible, and detecting pathogens other than the specific ones is challenging. The microchemical tests determine the activity of inflammation or disease by measuring the levels of biomarkers present in the oral cavity. Although this diagnostic method is based on increase in the specific biomarkers proportional to inflammation or disease progression in the oral cavity, its commercialization is limited due to low sensitivity and specificity. The genetic tests are based on the concept that differences in disease vulnerability and treatment response are caused by the patient’s DNA predisposition. Specifically, the IL-1 gene is used in such tests. PoC diagnostic methods developed to date serve as supplementary diagnostic methods and tools for patient education, in addition to existing diagnostic methods, although they have limitations in diagnosing oral diseases alone. Research on various PoC test methods that can analyze and manage the oral cavity bacterial composition is expected to become more active, aligning with the shift from treatmentoriented to prevention-oriented approaches in healthcare.
        4,000원