Measurement bias (MB) has been described in causal structures but is still not entirely clear. In practice, the correctness of substitution estimate (SE) of effect is a prerequisite for causal inference, usually based on a bidirectionally non-differential misclassification between the measured exposure and the measured outcome. Based on a directed acyclic graph (DAG), this paper proposes a structure for the single-variable measure, where its MB is derived from the choice of an imperfect, "input/output device-like" measurement system. The MB of the SE is influenced both by the measurement system itself and by factors outside the measurement system: while the independence or dependence mechanism of the measurement system still ensures that the MB of the SE is bidirectionally non-differential; however, the misclassification can be bidirectionally non-differential, unidirectionally differential, or bidirectionally differential resulted from the factors outside the measurement system. In addition, reverse causality should be defined at the level of measurement, where measured exposures can influence measured outcomes and vice versa. Combined with temporal relationships, DAGs help elucidate MB's structures, mechanisms, and directionality.
Humans ; Confounding Factors, Epidemiologic ; Data Interpretation, Statistical ; Bias ; Causality

Rheumatoid arthritis(RA) has a high disability rate and is highly harmful. It has a long course of treatment and is prone to adverse reactions or events(ADR/ADE). Selection of drugs in particular shall give consideration to both benefits and risk. Tripterygium Glycosides Tablets(TGT) is one of the important drugs for the treatment of RA. It has a remarkable efficacy, but a strong toxicity, which is controversial in clinical use. The study was oriented to patients, and quantitatively evaluated the efficacy and risk of TGT in treatment of RA, providing an intuitive basis for clinical safety and effective application of TGT. A multi-criteria decision-making analysis(MCDA) model of TGT was built in the treatment of RA, and then benefit and risk indicators were weighted by SWING method. Totally 53 random clinical trials(RCT) in accordance with the evaluation criteria were included by Meta-analysis method. The RCT results were merged by Meta-analysis, indicating that compared with the conventional therapy of chemical immunosuppressant(CISD), TGT could improve the curative effect whether it was used alone or in combination with CISD, but it would increase the incidence of reproductive system damage. The combined administration with CISD would also increase the incidence of liver and kidney damages. Treatment outcomes varied according to the different conditions of the combined administration with CISD. Based on MCDA model and clinical results, the benefit value, risk value and benefit-risk value of different doses, courses and combined administration of TGT in the treatment with RA were compared. The results showed that when the benefit and risk of the drug were equally important to the patient, the benefit-risk value of the single administration of TGT was 59, while that of the combined administration of TGT and CISD was 39. Therefore, the benefit-risk value of the single administration of TGT was 100% better than the combined administration. When the combined administration of TGT and CISD is unavoidable, the benefit-risk value of low-dose TGT(0.10-0.99 mg·kg~(-1)·d~(-1)) was 48, while that of high-dose TGT was 36. Therefore, low-dose TGT combined with CISD was more easily accepted by patients. The 2 to 3-month treatment course had a benefit-risk value of 40, while the long treatment course had a benefit-risk value of 38. Based on existing evidences, the single administration of TGT may be better than the combined administration with CISD. If the patients need to combine with CISD to treat RA, low dosage and 2 to 3-month course may be relatively optimal.
Arthritis, Rheumatoid/drug therapy* ; Decision Support Techniques ; Drugs, Chinese Herbal/therapeutic use* ; Glycosides/therapeutic use* ; Humans ; Randomized Controlled Trials as Topic ; Tablets ; Tripterygium/chemistry*

No abstract available.
Statistics as Topic ; Models, Statistical ; Data Interpretation, Statistical ; Sampling Studies ; Biometry

There has been an exponential increase in plastic surgery cases over the last 20 years, surging from 2.8 million to 17.5 million cases per year. Seventy-two percent of these cases are being performed in the office-based or ambulatory setting. There are certain advantages to performing aesthetic procedures in the office, but several widely publicized fatalities and malpractice claims has put the spotlight on patient safety and the lack of uniform regulation of office-based practices. While 33 states currently have legislation for office-based surgery and anesthesia, 17 states have no mandate to report patient deaths or adverse outcomes. The literature on office-base surgery and anesthesia has demonstrated significant improvements in patient safety over the last 20 years. In the following review of the proceedings from the PRS Korea 2018 meeting, we discuss several key concepts regarding safe anesthesia for officebased cosmetic surgery. These include the safe delivery of oxygen, appropriate local anesthetic usage and the avoidance of local anesthetic toxicity, the implementation of Enhanced Recovery after Surgery protocols, multimodal analgesic techniques with less reliance on narcotic pain medications, the use of surgical safety checklists, and incorporating “the patient” into the surgical decision-making process through decision aids.
Anesthesia ; Checklist ; Clothing ; Decision Support Techniques ; Humans ; Korea ; Malpractice ; Oxygen ; Patient Safety ; Plastics ; Seoul ; Surgery, Plastic

OBJECTIVES: This study developed an information and communication technology (ICT)-based comprehensive health and social-needs assessment (CHSNA) system based on the International Classification of Functioning, Disability, and Health (ICF) with the aim of enhancing person-centered community care for community residents and supporting healthcare professionals and social workers who provide healthcare and social services in the community. METHODS: Items related to a CHSNA tool were developed and mapped with ICF codes. Experts validated the CHSNA system design and process using the Delphi method, and a pilot test of the initial version of the system was conducted. RESULTS: The following three steps of CHSNA were embedded in the system, which had a user-friendly screen and images: basic health assessment, life and activity assessment, and in-depth health assessment. The assessment results for the community residents were presented with visualized health profiles, including images, graphs, and an ICF model. CONCLUSIONS: The developed CHSNA system can be used by healthcare professionals, social workers, and community residents to evaluate the reasoning underlying health and social needs, to facilitate the identification of more appropriate healthcare plans, and to guide community residents to receive the best healthcare services. A CHSNA system can improve the implementation of standardized terminology utilizing the ICF and the accuracy of needs assessments of community residents.
Classification ; Community Health Services ; Decision Support Techniques ; Delivery of Health Care ; Methods ; Needs Assessment ; Patient-Centered Care ; Social Work ; Social Workers

OBJECTIVE: Since less invasive endovascular treatment was introduced to South Korea in 1994, a considerable proportion of endovascular treatments have been performed by neuroradiology doctors, and endovascular treatments by vascular neurosurgeons have recently increased. However, few specific statistics are known regarding how many endovascular treatments are performed by neurosurgeons. Thus, authors compared endovascular treatments collaboratively performed by vascular neurosurgeons with all cases throughout South Korea from 2013 to 2017 to elucidate the role of neurosurgeons in the field of endovascular treatment in South Korea.METHODS: The Society of Korean Endovascular Neurosurgeons (SKEN) has issued annual reports every year since 2014. These reports cover statistics on endovascular treatments collaboratively or individually performed by SKEN members from 2013 to 2017. The data was requested and collected from vascular neurosurgeons in various hospitals. The study involved 77 hospitals in its first year, and 100 in its last. National statistics on endovascular treatment from all over South Korea were obtained from the Healthcare Bigdata Hub website of the Health Insurance Review & Assessment Service based on the Electronic Data Interchange (EDI) codes (in the case of intra-arterial (IA) thrombolysis, however, statistics were based on a combination of the EDI and I63 codes, a cerebral infarction disease code) from 2013 to 2017. These two data sets were directly compared and the ratios were obtained.RESULTS: Regionally, during the entire study period, endovascular treatments by SKEN members were most common in Gyeonggi-do, followed by Seoul and Busan. Among the endovascular treatments, conventional cerebral angiography was the most common, followed by cerebral aneurysmal coiling, endovascular treatments for ischemic stroke, and finally endovascular treatments for vascular malformation and tumor embolization. The number of endovascular treatments performed by SKEN members increased every year.CONCLUSION: The SKEN members have been responsible for the major role of endovascular treatments in South Korea for the recent 5 years. This was achieved through the perseverance of senior members who started out in the midst of hardship, the establishment of standards for the training/certification of endovascular neurosurgery, and the enthusiasm of current SKEN members who followed. To provide better treatment to patients, we will have to make further progress in SKEN.
Busan ; Cerebral Angiography ; Cerebral Infarction ; Data Interpretation, Statistical ; Dataset ; Delivery of Health Care ; Endovascular Procedures ; Gyeonggi-do ; Humans ; Insurance, Health ; Intracranial Aneurysm ; Korea ; Neurosurgeons ; Neurosurgery ; Seoul ; Stroke ; Vascular Malformations

PURPOSE: The purpose of this study was to identify the impact of cigarette smoking and alcohol consumption on the incidence of colon cancer in adults with metabolic syndrome.METHODS: This study employed a longitudinal study design and utilized secondary data drawn from the Korean Genome and Epidemiology Study (KoGES). The data of a sample of 2,327 adults with metabolic syndrome tracked every two years from 2001 to 2014 were used in this study. Statistical data analyses of the frequency, number of cases per 100,000 person-years, log-rank test, Kaplan-Meier curve, and Cox's proportional hazards regression were performed using IBM SPSS statistics version 24.RESULTS: During the observation period, the number of colon cancer cases was 46, and the total person-years were 252,444. The incidence of colon cancer was higher in current, over 10 pack-year smokers when compared to non-smokers (hazard ratio=3.38, 95% confidence interval=1.09~8.42).CONCLUSION: Excessive and long-term smoking should be avoided to prevent colon cancer, especially in adults with metabolic syndrome, since it might exacerbate the risk factors of colon cancer. Particularly, health professionals need to provide individualized smoking cessation interventions to those at high risk of colon cancer.
Adult ; Alcohol Drinking ; Cohort Studies ; Colon ; Colonic Neoplasms ; Data Interpretation, Statistical ; Epidemiology ; Genome ; Health Occupations ; Humans ; Incidence ; Kaplan-Meier Estimate ; Longitudinal Studies ; Prospective Studies ; Risk Factors ; Smoke ; Smoking Cessation ; Smoking ; Tobacco Products

Multicollinearity represents a high degree of linear intercorrelation between explanatory variables in a multiple regression model and leads to incorrect results of regression analyses. Diagnostic tools of multicollinearity include the variance inflation factor (VIF), condition index and condition number, and variance decomposition proportion (VDP). The multicollinearity can be expressed by the coefficient of determination (R(h)²) of a multiple regression model with one explanatory variable (X(h)) as the model’s response variable and the others (X(i) [i≠h] as its explanatory variables. The variance (σ(h)²) of the regression coefficients constituting the final regression model are proportional to the VIF(1/1−R(h)²). Hence, an increase in R(h)² (strong multicollinearity) increases σ(h)². The larger σ(h)² produces unreliable probability values and confidence intervals of the regression coefficients. The square root of the ratio of the maximum eigenvalue to each eigenvalue from the correlation matrix of standardized explanatory variables is referred to as the condition index. The condition number is the maximum condition index. Multicollinearity is present when the VIF is higher than 5 to 10 or the condition indices are higher than 10 to 30. However, they cannot indicate multicollinear explanatory variables. VDPs obtained from the eigenvectors can identify the multicollinear variables by showing the extent of the inflation of σ(h)² according to each condition index. When two or more VDPs, which correspond to a common condition index higher than 10 to 30, are higher than 0.8 to 0.9, their associated explanatory variables are multicollinear. Excluding multicollinear explanatory variables leads to statistically stable multiple regression models.
Bias (Epidemiology) ; Biostatistics ; Data Interpretation, Statistical ; Inflation, Economic

PURPOSE: To study the performance of the combined models of Pediatric Risk of Admission (PRISA) scores I and II and Creactive protein (CRP) for prediction of hospitalization in febrile children who visited the emergency department.METHODS: We reviewed febrile children aged 4 months-17 years who visited a tertiary hospital emergency department between January and December 2017. White blood cell count, CRP concentration, the PRISA scores, and systemic inflammatory response syndrome score were calculated. We compared areas under the curves (AUCs) of the admission decision support tools for hospitalization using receiver operating characteristic curve analysis.RESULTS: Of 1,032 enrolled children, 423 (41.0%) were hospitalized. CRP and the PRISA scores were significantly higher in the hospitalization group than in the discharge group (all P < 0.001). Among the individual tools, CRP showed the highest AUC (0.69; 95% confidence interval [CI], 0.66–0.72). AUC was 0.71 (95% CI, 0.69–0.74) for the combined model of the PRISA I score and CRP, and 0.71 (95% CI, 0.68–0.74) for that of the PRISA II score and CRP. The AUC of PRISA score I and CRP combined was significantly higher than that of isolated CRP (P = 0.048).CONCLUSION: The combined model of the PRISA I score and CRP may be useful in predicting hospitalization of febrile children in emergency departments.
Area Under Curve ; C-Reactive Protein ; Child ; Decision Support Techniques ; Emergencies ; Emergency Service, Hospital ; Fever ; Hospitalization ; Humans ; Leukocyte Count ; Patient Admission ; ROC Curve ; Systemic Inflammatory Response Syndrome ; Tertiary Care Centers

OBJECTIVES: The detection of autism spectrum disorder (ASD) is based on behavioral observations. To build a more objective data-driven method for screening and diagnosing ASD, many studies have attempted to incorporate artificial intelligence (AI) technologies. Therefore, the purpose of this literature review is to summarize the studies that used AI in the assessment process and examine whether other behavioral data could potentially be used to distinguish ASD characteristics. METHODS: Based on our search and exclusion criteria, we reviewed 13 studies. RESULTS: To improve the accuracy of outcomes, AI algorithms have been used to identify items in assessment instruments that are most predictive of ASD. Creating a smaller subset and therefore reducing the lengthy evaluation process, studies have tested the efficiency of identifying individuals with ASD from those without. Other studies have examined the feasibility of using other behavioral observational features as potential supportive data. CONCLUSION: While previous studies have shown high accuracy, sensitivity, and specificity in classifying ASD and non-ASD individuals, there remain many challenges regarding feasibility in the real-world that need to be resolved before AI methods can be fully integrated into the healthcare system as clinical decision support systems.
Artificial Intelligence ; Autism Spectrum Disorder ; Autistic Disorder ; Behavior Observation Techniques ; Decision Support Systems, Clinical ; Delivery of Health Care ; Diagnosis ; Mass Screening ; Methods ; Sensitivity and Specificity