The human oral microbiome refers to an ecological community of symbiotic and pathogenic microorganisms found in the oral cavity. The oral cavity is an environment that provides various biological niches, such as the teeth, tongue, and oral mucosa. The oral cavity is the gateway between the external environment and the human body, maintaining oral homeostasis, protecting the mouth, and preventing disease. On the flip side, the oral microbiome also plays an important role in the triggering, development, and progression of oral and systemic diseases. In recent years, disease diagnosis through the analysis of the human oral microbiome has been realized with the recent development of innovative detection technology and is overwhelmingly promising compared to the previous era. It has been found that patients with oral and systemic diseases have variations in their oral microbiome compared to normal subjects. This narrative review provides insight into the pathophysiological role that the oral microbiome plays in influencing oral and systemic diseases and furthers the knowledge related to the oral microbiome produced over the past 30 years. A wide range of updates were provided with the latest knowledge of the oral microbiome to help researchers and clinicians in both academic and clinical aspects. The microbial community information can be utilized in non-invasive diagnosis and can help to develop a new paradigm in precision medicine, which will benefit human health in the era of post-metagenomics.

Park JK, et al. J Korean Med Sci. 2021 Mar;36(12):e95. https://doi.org/10.3346/jkms.2021.36.e95

This review presents information on changes in the accreditation standards of medical schools in Korea by the Korean Institute of Medical Education and Evaluation (KIMEE) from 2000 to 2019. Specifically, the following aspects are explained: the development process, setting principles and directions, evaluation items, characteristics of the standards, and validity testing over the course of 4 cycles. The first cycle of accreditation (2000–2005) focused on ensuring the minimum requirements for the educational environment. The evaluation criteria emphasized the core elements of medical education, including facilities and human resources. The second cycle of accreditation (2007–2010) emphasized universities’ commitment to social accountability and the pursuit of excellence in medical education. It raised the importance of qualitative standards for judging the content and quality of education. In the post-second accreditation cycle (2012–2018) which means third accreditation cycle, accreditation criteria were developed to standardize the educational environment and programs and to be used for curriculum development in order to continually improve the quality of basic medical education. Most recently, the ASK 2019 (Accreditation Standards of KIMEE 2019) accreditation cycle focused on qualitative evaluations in accordance with the World Federation of Medical Education’s accreditation criteria to reach the international level of basic medical education, which emphasizes the need for a student-centered curriculum, communication with society, and evaluation through a comprehensive basic medical education course. The KIMEE has developed a basic medical education evaluation and accreditation system in a step-by-step manner, as outlined above. Understanding previous processes will be helpful for the future development of accreditation criteria for medical schools in Korea.

Choi HJ, et al. J Korean Med Sci. 2020 Mar;35(20):e133. https://doi.org/10.3346/jkms.2020.35.e133

Objective: To identify the level of agreement between patients with rheumatoid arthritis (RA) and physicians in the global assessment of disease activity and to explore factors influencing their discordance. Methods: A total of 4368 patients with RA were analyzed from the KORean Observational study Network for Arthritis (KORONA) database. Patients were divided into four subgroups according to difference from their physicians in the assessment of disease activity by substracting physician’s visual analog scale (VAS) from patient’s VAS as follows: positive discordance group I (10 mm ≤ discordance <25 mm), positive discordance group II (≥25 mm), concordance (<|10| mm), and negative discordance (≤ −10mm). Multinomial logistic regression analysis was performed to identify factors associated with discordance. Results: Only 1350 (29.2%) patients were classified in the concordance group. Positive discordance was found in 52.3% of the patients (n = 2425), with 33.7% (n = 1563) showing marked discordance (≥25 mm). The high disease activity (OR =1.41), gastrointestinal (GI) disease (OR =1.28), pain (OR =1.12), fatigue (OR =1.07) were consistently associated with positive discordance. Conclusion: More than half of patients with RA thought their disease more severe than their physicians. In addition to high disease activity, pain, fatigue, and sleep disturbance or GI disease were associated with the discordance between physicians and patients with RA.

Chung MK, et al. J Korean Med Sci. 2021 Jul;36(32):e208. https://doi.org/10.3346/jkms.2021.36.e208