The common data model (CDM) has found widespread application in healthcare studies, but its utilization in cancer research has been limited. This article describes the development and implementation strategy for Cancer Clinical Library Databases (CCLDs), which are standardized cancer-specific databases established under the Korea-Clinical Data Utilization Network for Research Excellence (K-CURE) project by the Korean Ministry of Health and Welfare. Fifteen leading hospitals and fourteen academic associations in Korea are engaged in constructing CCLDs for 10 primary cancer types. For each cancer type-specific CCLD, cancer data experts determine key clinical data items essential for cancer research, standardize these items across cancer types, and create a standardized schema. Comprehensive clinical records covering diagnosis, treatment, and outcomes, with annual updates, are collected for each cancer patient in the target population, and quality control is based on six-sigma standards. To protect patient privacy, CCLDs follow stringent data security guidelines by pseudonymizing personal identification information and operating within a closed analysis environment. Researchers can apply for access to CCLD data through the K-CURE portal, which is subject to Institutional Review Board and Data Review Board approval. The CCLD is considered a pioneering standardized cancer-specific database, significantly representing Korea’s cancer data. It is expected to overcome limitations of previous CDMs and provide a valuable resource for multicenter cancer research in Korea.

The common data model (CDM) has found widespread application in healthcare studies, but its utilization in cancer research has been limited. This article describes the development and implementation strategy for Cancer Clinical Library Databases (CCLDs), which are standardized cancer-specific databases established under the Korea-Clinical Data Utilization Network for Research Excellence (K-CURE) project by the Korean Ministry of Health and Welfare. Fifteen leading hospitals and fourteen academic associations in Korea are engaged in constructing CCLDs for 10 primary cancer types. For each cancer type-specific CCLD, cancer data experts determine key clinical data items essential for cancer research, standardize these items across cancer types, and create a standardized schema. Comprehensive clinical records covering diagnosis, treatment, and outcomes, with annual updates, are collected for each cancer patient in the target population, and quality control is based on six-sigma standards. To protect patient privacy, CCLDs follow stringent data security guidelines by pseudonymizing personal identification information and operating within a closed analysis environment. Researchers can apply for access to CCLD data through the K-CURE portal, which is subject to Institutional Review Board and Data Review Board approval. The CCLD is considered a pioneering standardized cancer-specific database, significantly representing Korea’s cancer data. It is expected to overcome limitations of previous CDMs and provide a valuable resource for multicenter cancer research in Korea.

The common data model (CDM) has found widespread application in healthcare studies, but its utilization in cancer research has been limited. This article describes the development and implementation strategy for Cancer Clinical Library Databases (CCLDs), which are standardized cancer-specific databases established under the Korea-Clinical Data Utilization Network for Research Excellence (K-CURE) project by the Korean Ministry of Health and Welfare. Fifteen leading hospitals and fourteen academic associations in Korea are engaged in constructing CCLDs for 10 primary cancer types. For each cancer type-specific CCLD, cancer data experts determine key clinical data items essential for cancer research, standardize these items across cancer types, and create a standardized schema. Comprehensive clinical records covering diagnosis, treatment, and outcomes, with annual updates, are collected for each cancer patient in the target population, and quality control is based on six-sigma standards. To protect patient privacy, CCLDs follow stringent data security guidelines by pseudonymizing personal identification information and operating within a closed analysis environment. Researchers can apply for access to CCLD data through the K-CURE portal, which is subject to Institutional Review Board and Data Review Board approval. The CCLD is considered a pioneering standardized cancer-specific database, significantly representing Korea’s cancer data. It is expected to overcome limitations of previous CDMs and provide a valuable resource for multicenter cancer research in Korea.

OBJECTIVES: The aim of this study was to estimate the association between household income and dental flossing. METHODS: This cross-sectional study investigated the impact of household income on flossing among 9,391 adults aged 30+ with ≥20 natural teeth, utilizing data from the seventh Korea National Health and Nutrition Examination Survey (2016-2018). Outcome measures included flossing (yeso), with income categorized into 4 levels: lowest, medium to low, medium to high, and highest. Logistic regression, adjusted for age, gender, brushing frequency, recent dental exams, periodontitis, smoking, and alcohol use, was employed to evaluate the influence of socioeconomic status on oral hygiene practices. RESULTS: In the highest income group, flossing was 62.6% more prevalent than in the lowest income group (adjusted odds ratio [aOR], 1.63; 95% CI, 1.27 to 2.08). The strongest association between income levels and flossing was observed in individuals aged ≥70 years (aOR, 3.64; 95% CI, 1.86 to 7.11), with a decreasing strength of association in the 60s (aOR, 1.72; 95% CI, 1.05 to 2.84) and 50s age groups (aOR, 1.69; 95% CI, 1.07 to 2.68). Higher-income women demonstrated a higher frequency of flossing than their lower-income counterparts (aOR, 1.67; 95% CI, 1.24 to 2.23). Higher-income individuals without periodontitis were more likely to floss (aOR, 1.64; 95% CI, 1.23 to 2.18), and among those with periodontitis, flossing was significantly associated only with the highest income category (aOR, 1.64; 95% CI, 1.10 to 2.44). CONCLUSIONS The findings of this study indicate a significant correlation between higher household income levels and an increased prevalence of flossing.

OBJECTIVES: Numerous studies have investigated the efficacy of whole grains; however, research on multigrain remains limited. Grains exhibit combined positive effects against various diseases. The purpose of this study was to examine the impact of multigrain and white rice consumption on periodontitis. METHODS: We analyzed data from the Korea National Health and Nutrition Examination Survey V-3 and VI, collected between 2012 and 2015, which included 12,450 patients (4,859 male and 7,591 female) aged 19-64 years. The World Health Organization’s Community Periodontal Index (CPI) was utilized to assess the presence of periodontitis, with periodontitis defined as a CPI index score of ≥3. Multivariable logistic regression analysis was performed after adjusting for potential confounding variables. RESULTS: The group that consumed only multigrain rice was less likely to have periodontitis than the group that consumed only white rice (odds ratio [OR], 0.80; 95% confidence interval [CI], 0.69 to 0.93). When stratified by sex, the risk of periodontitis demonstrated a 24% decrease in female who consumed only multigrain rice (OR, 0.76; 95% CI, 0.62 to 0.93). A similar result was observed in the age group of 40-64 years (OR, 0.84; 95% CI, 0.71 to 0.99). In the diabetes stratification model, the normal group that consumed only multigrain rice exhibited a 25% decrease in the odds of periodontitis (OR, 0.75; 95% CI, 0.62 to 0.91). CONCLUSIONS Our findings suggest that the prevalence of periodontitis may vary depending on the type of rice consumed.

This study focuses on the importance of non-face-to-face healthcare, based on the experience with the COVID-19 pandemic, and proposes a model for oral health management services utilizing personal data, known as “my data.” The model aims to develop a comprehensive system that collects and integrates individual health records for easy access. It includes assessing oral health through oral examination records and surveys, creating risk assessment algorithms tailored to various population groups, and standardizing medical terms and data. The goal is to accurately evaluate individual oral health conditions and provide personalized services. However, the success of the model requires considerations such as platform management, user experience enhancement, and medical data security. The research proposes possibilities for further investigation to enhance the oral health service model. This study introduces a novel approach to individual health management, establishing the foundation of effective health management even in non-face-to-face settings.

Corrosive esophagitis and gastritis are characterized by caustic damage due to ingestion of chemical agents. Caustic agents cause tissue destruction through liquefaction or coagulation reactions. Here, we report a case of corrosive esophagitis and gastritis caused by accidental ingestion of glutaraldehyde in Korea. A 62-year-old man presented to the emergency department 8 hours after ingesting glutaraldehyde, which is widely used for the prevention of foot-and-mouth disease in pigs. Urgent endoscopic examination revealed severely damaged mucosae of the esophagus and stomach. With conservative treatment, the patient’s condition was improved, and he was discharged on the 35th day of admission.

OBJECTIVES: This study aimed to measure the efficacy of different tooth-brushing methods for removing plaque in Korea. METHODS: This study was conducted with the approval of the Institutional Review Board (IRB) of the Seoul National University School of Dentistry (S-D20180021). Thirty participants aged between 19 and 30 years, who did not have periodontal disease, were enrolled in this observational study. Participants were given the same type of toothbrush and toothpaste and asked to brush their teeth as they usually would. During brushing, participants were recorded with a camcorder that was attached to a mirror. Participants were aware they were being recorded. After they had finished brushing their teeth, a dental plaque staining and oral plaque index (PI) examination was performed. The PI score was measured using the Turesky modified Quigley Hein Index. Brushing methods were classified as rolling, horizontal, vertical, circling, and oblique. Skipped surfaces were recorded separately. Following this, statistical analysis was performed using SPSS software. RESULTS: Most surfaces of the mouth were skipped. The most commonly used brushing method was the circling method, followed by the vertical, horizontal, rolling, and oblique methods. The most frequently used method on the vestibular surface was circling, with 52.92% of the oral surface skipped. The oblique brushing method had the lowest mean PI score with a mean±SD of 1.73±0.82. The mean PI score of the skipped surfaces was the highest with a mean±SD of 2.52±0.81. We also analyzed the linear mixed model considering the different lengths of time spent brushing. Both the brushing method used and the time spent brushing had a significant effect on the PI score, but no interactions between these were observed. In areas where a horizontal brushing method had been used, the PI score was significantly decreased. CONCLUSIONS: This study suggests that the horizontal brushing method is an efficient tooth-brushing method compared to the other methods. Additionally, tooth-brushing for more than 10 seconds on 3 to 4 teeth area was effective in removing dental biofilm.
Biofilms ; Dental Plaque Index ; Dental Plaque ; Dentistry ; Ethics Committees, Research ; Humans ; Korea ; Methods ; Mouth ; Observational Study ; Oral Hygiene ; Periodontal Diseases ; Seoul ; Tooth ; Toothpastes ; Video Recording

PURPOSE: The purpose of this study was to examine the association between the intake of semi-solid yogurt and periodontitis in Korean adults using a national database. METHODS: The data analyzed in this study are a subset of the sixth Korean National Health and Nutrition Examination Survey conducted in 2015 by the Korea Centers for Disease Control and Prevention. The sample size for this study was 4,727. We collected data on sociodemographic characteristics, oral health-related variables, oral and general health status, and intake of semi-solid yogurt. Semi-solid yogurt intake (YI) was calculated by multiplying the frequency of YI over the previous week by the average intake per serving. We assessed periodontal conditions using the Community Periodontal Index (CPI) and defined periodontitis as a CPI score ≥3. Multivariate logistic regression analyses were performed after adjusting for sociodemographic variables, and oral and general health behaviors and status. RESULTS: The mean weekly YI among those without periodontitis (1.03±0.06 cups) was significantly higher than among those with periodontitis (0.77±0.08 cups) (P<0.001). Individuals who consumed more than 2 cups of yogurt per day were 76% less likely to have periodontitis than those who consumed less than 1 cup of yogurt per week after adjusting for all covariates (odds ratio, 0.24; 95% confidence interval, 0.10–0.60). CONCLUSIONS: We found a significant association between increased intake of semi-solid yogurt and periodontal health. We therefore recommend daily consumption of semi-solid yogurt as a probiotic to improve periodontal health. Further longitudinal studies are required to elucidate plausible mechanisms through which probiotics impact periodontal disease, considering both periodontal pathogens and clinical periodontal parameters.
Adult ; Centers for Disease Control and Prevention (U.S.) ; Health Behavior ; Humans ; Korea ; Logistic Models ; Longitudinal Studies ; Nutrition Surveys ; Periodontal Diseases ; Periodontal Index ; Periodontitis ; Probiotics ; Sample Size ; Yogurt

OBJECTIVES: The primary objective of this study was to determine if the number of missing teeth could be predicted by oral disease pathogens, and the secondary objective was to assess whether deep learning is a better way of predicting the number of missing teeth than multivariable linear regression (MLR).METHODS: Data were collected through review of patient’s initial medical records. A total of 960 participants were cross-sectionally surveyed. MLR analysis was performed to assess the relationship between the number of missing teeth and the results of real-time PCR assay (done for quantification of 11 oral disease pathogens). A convolutional neural network (CNN) was used as the deep learning model and compared with MLR models. Each model was performed five times to generate an average accuracy rate and mean square error (MSE). The accuracy of predicting the number of missing teeth was evaluated and compared between the CNN and MLR methods.RESULTS: Model 1 had the demographic information necessary for the prediction of periodontal diseases in addition to the red and the orange complex bacteria that are highly predominant in oral diseases. The accuracy of the convolutional neural network in this model was 65.0%. However, applying Model 4, which added yellow complex bacteria to the total bacterial load, increased the expected extractions of dental caries to 70.2%.On the other hand, the accuracy of the MLR was about 50.0% in all models. The mean square error of the CNN was considerably smaller than that of the MLR, resulting in better predictability.CONCLUSIONS: Oral disease pathogens can be used as a predictor of missing teeth and deep learning can be a more accurate analysis method to predict the number of missing teeth as compared to MLR.
Bacteria ; Bacterial Load ; Citrus sinensis ; Dental Caries ; Hand ; Learning ; Linear Models ; Medical Records ; Methods ; Periodontal Diseases ; Periodontitis ; Pilot Projects ; Real-Time Polymerase Chain Reaction ; Tooth