INTRODUCTION: Randomised controlled trials (RCTs) have informed guideline recommendations for the management of stable coronary artery disease (CAD). However, the real-world impact of contemporary guidelines and trials on practising physicians in the Asia-Pacific region remains uncertain. We aimed to evaluate the knowledge, attitudes and practices among cardiovascular physicians in the region regarding stable CAD management. METHOD: An anonymised cross-sectional electronic survey was administered to cardiovascular practitioners from the Asia Pacific, assessing 3 domains: 1) baseline knowledge on recent trials and society guideline, 2) attitudes towards stable CAD, and 3) case scenarios reflecting management preferences. Correlations among knowledge, attitudes and practice scores were assessed between physicians from developed and developing countries using Pearson correlation. RESULTS: Overall, 713 respondents from 21 countries completed the survey. The mean knowledge score was 2.90±1.18 (out of 4), with 37.3% of respondents answering all questions correctly, while 74.6% noted that guidelines have significant impact on their practice. Despite guidelines recommending optimal medical therapy, majority chose revascularisation (range 53.4- 90.6%) as the preferred strategy for the case scenarios. Practitioners from developed regions had higher knowledge scores and lower attitude scores compared to developing regions, while practice scores were similar in both groups. Weakly positive correlations were noted between knowledge, attitude and practice scores. CONCLUSION Variations exist in knowledge and attitudes towards guideline recommendations and correspondingly actual clinical practice in the Asia Pacific, with most practitioners choosing an upfront invasive strategy for the treatment of stable CAD. These differences reflect real-world disparities in guideline interpretation and clinical adoption.
Humans ; Coronary Artery Disease/therapy* ; Cross-Sectional Studies ; Practice Patterns, Physicians'/statistics & numerical data* ; Asia ; Health Knowledge, Attitudes, Practice ; Surveys and Questionnaires ; Male ; Practice Guidelines as Topic ; Female ; Attitude of Health Personnel ; Middle Aged ; Developing Countries

The rapid development of artificial intelligence technology is driving profound changes in medical practice, particularly in the field of medical device application. Based on data from the U.S. clinical trials registry, this study analyzes the global registration landscape of clinical trials involving artificial intelligence-based medical devices, aiming to provide a reference for their clinical research and application. A total of 2 494 clinical trials related to artificial intelligence medical devices have been registered worldwide, with participation from 66 countries or regions. The United States leads with 908 trials, while for other countries or regions, including China, each has fewer than 300 trials. Germany, the United States, and Belgium serve as central hubs for international collaboration. Among the sponsors, 63.96% are universities or hospitals, 22.36% are enterprises, and the remainder includes individuals, government agencies and others. Of all trials, 79.99% are interventional studies, 94.67% place no restrictions on participant gender, and 69.69% exclude children. The targeted diseases are primarily neurological and mental disorders. This study systematically reveals the global distribution characteristics and research trends of artificial intelligence medical device clinical trials, offering valuable data support and practical insights for advancing international collaboration, resource allocation, and policy development in this field.
Artificial Intelligence ; Humans ; Clinical Trials as Topic/statistics & numerical data* ; Equipment and Supplies ; Registries ; United States

INTRODUCTION: Approximately 1000 children die each year due to preventable water and sanitation-related diarrheal diseases. Six in 10 people lacked access to safely managed sanitation facilities in 2015. Numerous community- and school-based approaches have been implemented to eradicate open defecation practices, promote latrine ownership, improve situation sanitation, and reduce waterborne disease. OBJECTIVE: Given that current evidence for sanitation interventions seem promising, the aim of this study was to systematically summarize existing research on the effectiveness of community- and school-based randomized controlled sanitation intervention in improving (1) free open defecation (safe feces disposal), (2) latrine usage, (3) latrine coverage or access, and (4) improved latrine coverage or access. METHODS: Eight electronic databases were searched: PubMed, Scopus, WHO Global Health Library (GHL), Virtual Health Library (VHL), POPLINE, Web of Science, Cochrane, and Google Scholar up to 26 April 2019. Original randomized clinical trials addressing community-based or school-based intervention that reported feces disposal and latrine coverage were deemed eligible. More than two researchers independently contributed to screening of papers, data extraction, and bias assessment. We conducted a meta-analysis by random-effects model. The risk of bias was assessed by the Cochrane risk of bias tool. RESULTS: Eighteen papers that matched all criteria and 16 studies were included in the final meta-analysis. Compared to the control, the sanitation intervention significantly increased safe feces disposal (OR 2.19, 95% CI 1.51-3.19, p < 0.05, I CONCLUSION Our study showed strong evidence for both community- and school-based sanitation interventions as effective for the safe disposal of human excreta. The finding suggests major implications for health policy and design of future intervention in developing countries.
Community Participation/statistics & numerical data* ; Randomized Controlled Trials as Topic ; Sanitation/instrumentation* ; School Health Services/statistics & numerical data* ; Toilet Facilities/statistics & numerical data*

No abstract available.
Dissent and Disputes ; Statistics as Topic

The Big Data Research Committee of the Korean Society of Gastroenterology conducted activities and researches with three goals. First, it provides the basis for proper and cost-effective treatment of digestive diseases in Korea. Second, it carries out population-level global research by establishing a system of big data analysis related to gastroenterology. Third, it provides the members of the Korean Society of Gastroenterology with the opportunity to plan and assess the public interest related to big data. The studies published by the committee members in this paper were carried out under these objectives, and the findings are believed to have achieved the public interest goals that may be helpful in the current medical and health policy. The construction of the big data infrastructure for digestive drugs is also underway, and we expect to see meaningful results pertaining to important digestive drugs. Research using public health medical big data, such as the National Health Insurance Corporation data base, should ultimately provide a basis for reflecting public messages and policies for the public. To this end, it is necessary for Korean researchers to lead efforts to lower the barriers and to approach relevant information and opportunities using big data research.
Committee Membership ; Gastroenterology ; Health Policy ; Korea ; National Health Programs ; Public Health ; Statistics as Topic

In data analysis, given that various statistical methods assume that the distribution of the population data is normal distribution, it is essential to check and test whether or not the data satisfy the normality requirement. Although the analytical methods vary depending on whether or not the normality is satisfied, inconsistent results might be obtained depending on the analysis method used. In many clinical research papers, the results are presented and interpreted without checking or testing normality. According to the central limit theorem, the distribution of the sample mean satisfies the normal distribution when the number of samples is above 30. However, in many clinical studies, due to cost and time restrictions during data collection, the number of samples is frequently lower than 30. In this case, a proper statistical analysis method is required to determine whether or not the normality is satisfied by performing a normality test. In this regard, this paper discusses the normality check, several methods of normality test, and several statistical analysis methods with or without normality checks.
Data Collection ; Methods ; Normal Distribution ; Statistics as Topic

PURPOSE: Head and neck squamous cell carcinoma (HNSCC) is a deadly disease in which precision medicine needs to be incorporated. We aimed to implement next-generation sequencing (NGS) in determining actionable targets to guide appropriate molecular targeted therapy in HNSCC patients. MATERIALS AND METHODS: Ninety-three tumors and matched blood samples underwent targeted sequencing of 244 genes using the Illumina HiSeq 2500 platform with an average depth of coverage of greater than 1,000×. Clinicopathological data from patients were obtained from 17 centers in Korea, and were analyzed in correlation with NGS data. RESULTS: Ninety-two of the 93 tumors were amenable to data analysis. TP53 was the most common mutation, occurring in 47 (51%) patients, followed by CDKN2A (n=23, 25%), CCND1 (n=22, 24%), and PIK3CA (n=19, 21%). The total mutational burden was similar between human papillomavirus (HPV)–negative vs. positive tumors, although TP53, CDKN2A and CCND1 gene alterations occurred more frequently in HPV-negative tumors. HPV-positive tumors were significantly associated with immune signature-related genes compared to HPV-negative tumors. Mutations of NOTCH1 (p=0.027), CDKN2A (p < 0.001), and TP53 (p=0.038) were significantly associated with poorer overall survival. FAT1 mutations were highly enriched in cisplatin responders, and potentially targetable alterations such as PIK3CA E545K and CDKN2A R58X were noted in 14 patients (15%). CONCLUSION: We found several targetable genetic alterations, and our findings suggest that implementation of precision medicine in HNSCC is feasible. The predictive value of each targetable alteration should be assessed in a future umbrella trial using matched molecular targeted agents.
Biomarkers ; Carcinoma, Squamous Cell* ; Cisplatin ; Epithelial Cells* ; Head* ; Humans ; Korea ; Molecular Targeted Therapy ; Neck* ; Precision Medicine ; Statistics as Topic

BACKGROUND: The incidence of cutaneous malignant tumors and premalignant lesions has recently increased worldwide. However, studies investigating the incidence and clinical manifestations of cutaneous malignant tumors and premalignant lesions in Korea are rare, especially in southeastern Gyeonggi-do Province. OBJECTIVE: To analyze the recent trends in the incidence of cutaneous malignant tumors and premalignant lesions in southeastern Gyeonggi-do Province. METHODS: We retrospectively reviewed 451 cases of cutaneous malignant tumors and 455 cases of premalignant lesions from 2006 to 2016. RESULTS: The average annual incidence rates of cutaneous malignant tumors and premalignant lesions among the total number of outpatients was 0.84% and 0.85%, respectively, and both these rates increased significantly over time. Basal cell carcinoma was most commonly diagnosed cutaneous malignant tumor (50.8%), followed by squamous cell carcinoma (24.6%), malignant melanoma (8.2%), and metastatic carcinoma (5.1%). The most common premalignant lesion was actinic keratosis (60.0%). The mean age of the patients with cutaneous malignant tumors and premalignant lesions was 68.8 years and 70.8 years, respectively. The ratio of male to female patients was 1 : 1.19 for cutaneous malignant tumors and 1 : 2.01 for premalignant lesions. The face was the most common site for both cutaneous malignant tumors and premalignant lesions (at 71.9% and 75.8%, respectively). CONCLUSION: This retrospective study provided data about the incidence and clinical patterns of cutaneous malignant tumors and premalignant lesions among patients in southeastern Gyeonggi-do Province.
Carcinoma, Basal Cell ; Carcinoma, Squamous Cell ; Female ; Gyeonggi-do* ; Humans ; Incidence ; Keratosis, Actinic ; Korea ; Male ; Melanoma ; Outpatients ; Retrospective Studies ; Statistics as Topic*

PURPOSE: The Iri station explosion that occurred in 1977 was a major social disaster in Korea, caused by a fire in a train equipped with explosives. The purpose of this study was to investigate the social disaster adaptation experiences of railroad workers. METHODS: This study was based on qualitative research using phenomenological methodology. Participants were six railroad workers who experienced the Iri station explosion. Data were collected through in-depth interviews with individual workers from March to June, 2018. The data analysis method was based on Colaizzi's approach. RESULTS: Experiences of railroad workers were categorized into 12 themes and the following 6 theme clusters: (1) Anxiety due to the extreme vibration and crash, (2) Terror regarding the horrible situation that one cannot face, (3) Anger about the cause of the explosion and a sense of relief about survival, (4) Confusion regarding different rumors, (5) Various efforts to return to daily life, and (6) Trauma that continues to exist. CONCLUSION: The findings of this study recommend that railroad organizations and managers should pay attention to enhance disaster preparedness and develop organizational disaster coping guidelines for members. The results of this study can help us to better understand the various aspects of the Iri station explosion of 1977.
Anger ; Anxiety ; Disasters ; Explosions ; Explosive Agents ; Fires ; Korea ; Methods ; Qualitative Research ; Railroads ; Statistics as Topic ; Vibration

PURPOSE: To evaluate superiority of a night float (NF) system in comparison to a traditional night on-call (NO) system for surgical residents at a single institution in terms of efficacy, safety, and satisfaction. METHODS: A NF system was implemented from March to September 2017 and big data analysis from electronic medical records was performed for all patients admitted for surgery or contacted from the emergency room (ER). Parameters including vital signs, mortality, and morbidity rates, as well as promptness of response to ER calls, were compared against a comparable period (March to September 2016) during which a NO system was in effect. A survey was also performed for physicians and nurses who had experienced both systems. RESULTS: A total of 150,000 clinical data were analyzed. Under the NO and NF systems, a total of 3,900 and 3,726 patients were admitted for surgery. Mortality rates were similar but postoperative bleeding was significantly higher in the NO system (0.5% vs. 0.2%, P = 0.031). From the 1,462 and 1,354 patients under the NO and NF systems respectively, that required surgical consultation from the ER, the time to response was significantly shorter in the NF system (54.5 ± 70.7 minutes vs. 66.8 ± 83.8 minutes, P < 0.001). Both physicians (90.4%) and nurses (91.4%) agreed that the NF system was more beneficial. CONCLUSION: This is the first report of a NF system using big data analysis in Korea, and potential benefits of this new system were observed in both ward and ER patient management.
Electronic Health Records ; Emergency Service, Hospital ; Hemorrhage ; Humans ; Internship and Residency ; Korea ; Medical Staff ; Mortality ; Statistics as Topic ; Vital Signs