2.Maintenance of pegylated liposomal doxorubicin/carboplatin in patients with advanced ovarian cancer: randomized study of an Asian Gynecologic Oncology Group
Chyong Huey LAI ; Elizabeth VALLIKAD ; Hao LIN ; Lan Yan YANG ; Shih Ming JUNG ; Hsueh Erh LIU ; Yu Che OU ; Hung Hsueh CHOU ; Cheng Tao LIN ; Huei Jean HUANG ; Kuan Gen HUANG ; Jiantai QIU ; Yao Ching HUNG ; Tzu I WU ; Wei Yang CHANG ; Kien Thiam TAN ; Chiao Yun LIN ; Angel CHAO ; Chee Jen CHANG
Journal of Gynecologic Oncology 2020;31(1):5-
3.Diagnostic Accuracy of a Novel On-site Virtual Fractional Flow Reserve Parallel Computing System
Hyung Bok PARK ; Yeonggul JANG ; Reza ARSANJANI ; Minh Tuan NGUYEN ; Sang Eun LEE ; Byunghwan JEON ; Sunghee JUNG ; Youngtaek HONG ; Seongmin HA ; Sekeun KIM ; Sang Wook LEE ; Hyuk Jae CHANG
Yonsei Medical Journal 2020;61(2):137-144
bias of 0.005 (95% CI −0.011 to 0.021) with 95% limits of agreement of −0.16 to 0.17 between vFFR and FFR. The accuracy, sensitivity, specificity, positive predictive value, and negative predictive value were 78.0%, 87.1%, 72.5%, 58.7%, and 92.6%, respectively, using the FFR cutoff of 0.80. They were 87.0%, 95.0%, 80.0%, 54.3%, and 98.5%, respectively, with the FFR cutoff of 0.75. The area under the receiver-operating characteristics curve of vFFR versus obstructive CTA stenosis was 0.88 versus 0.61 for the FFR cutoff of 0.80, respectively; it was 0.94 versus 0.62 for the FFR cutoff of 0.75.CONCLUSION: Our novel, fully automated, on-site vFFR technology showed excellent diagnostic performance for the detection of lesion-specific ischemia.]]>
Angiography
;
Bias (Epidemiology)
;
Constriction, Pathologic
;
Coronary Angiography
;
Fractional Flow Reserve, Myocardial
;
Humans
;
Ischemia
;
Patient-Specific Modeling
;
Sensitivity and Specificity
4.Incidence of Hypotension after Discontinuation of Norepinephrine or Arginine Vasopressin in Patients with Septic Shock: a Systematic Review and Meta-Analysis
Jae Uk SONG ; Jonghoo LEE ; Hye Kyeong PARK ; Gee Young SUH ; Kyeongman JEON
Journal of Korean Medical Science 2020;35(1):8-
bias. In addition, there were no significant differences in intensive care unit (ICU) mortality, in-hospital mortality, 28-day mortality, or ICU length of stay between the groups.CONCLUSION: Discontinuing NE prior to AVP was associated with a lower incidence of hypotension in patients recovering from septic shock. However, our results should be interpreted with caution, due to the considerable between-study heterogeneity.]]>
Arginine Vasopressin
;
Arginine
;
Bias (Epidemiology)
;
Consensus
;
Hospital Mortality
;
Humans
;
Hypotension
;
Incidence
;
Intensive Care Units
;
Length of Stay
;
Mortality
;
Norepinephrine
;
Odds Ratio
;
Population Characteristics
;
Sepsis
;
Shock, Septic
;
Treatment Outcome
;
Vasoconstrictor Agents
5.Precision Medicine and Cardiovascular Health: Insights from Mendelian Randomization Analyses
Wes SPILLER ; Keum Ji JUNG ; Ji Young LEE ; Sun Ha JEE
Korean Circulation Journal 2020;50(2):91-111
Cardiovascular disease (CVD) is considered a primary driver of global mortality and is estimated to be responsible for approximately 17.9 million deaths annually. Consequently, a substantial body of research related to CVD has developed, with an emphasis on identifying strategies for the prevention and effective treatment of CVD. In this review, we critically examine the existing CVD literature, and specifically highlight the contribution of Mendelian randomization analyses in CVD research. Throughout this review, we assess the extent to which research findings agree across a range of studies of differing design within a triangulation framework. If differing study designs are subject to non-overlapping sources of bias, consistent findings limit the extent to which results are merely an artefact of study design. Consequently, broad agreement across differing studies can be viewed as providing more robust causal evidence in contrast to limiting the scope of the review to a single specific study design. Utilising the triangulation approach, we highlight emerging patterns in research findings, and explore the potential of identified risk factors as targets for precision medicine and novel interventions.
Artifacts
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Bias (Epidemiology)
;
Cardiovascular Diseases
;
Mendelian Randomization Analysis
;
Mortality
;
Precision Medicine
;
Random Allocation
;
Risk Factors
6.Performance of a mixture model by the degree of a missing categorical covariate when estimating clearance in NONMEM
SeokKyu YOON ; Hyeong Seok LIM
Translational and Clinical Pharmacology 2019;27(4):141-148
The accuracy and predictability of mixture models in NONMEM® may change depending on the relative size of inter-individual differences and the size of the differences in the parameters between subpopulations. This study explored the accuracy of mixture models when dealing with missing a categorical covariate under various situations that may occur in reality. We generated simulation data under various scenarios where genotypes representing extensive metabolizers (EM) and poor metabolizers (PM) of drug-metabolizing enzymes affect the clearance of a drug by different degrees, and the inter-individual variations in clearance are different for each scenario. From each simulated datum, a specific proportion of the covariate (genotype information) was randomly removed. Based on these simulation data, the proportion of each individual subpopulation and the clearance were estimated using a mixture model. Overall, the clearance estimate was more accurate when the difference in clearance between subpopulations was large, and the inter-individual variations were small. In some scenarios that showed higher ETA or epsilon shrinkage, the clearance estimates were significantly biased. The mixture model made better predictions for individuals in the EM subpopulation than for individuals in the PM subpopulation. However, the estimated values were not significantly affected by the tested ratio, if the sample size was secured to some extent. The current simulation study suggests that when the coefficient of variation of inter-individual variations of clearance exceeds 40%, the mixture model should be used carefully, and it should be taken into account that shrinkage can bias the results.
Bias (Epidemiology)
;
Genotype
;
Sample Size
7.Evaluation of different bioimpedance methods for assessing body composition in Asian non-dialysis chronic kidney disease patients
Sean WY LEE ; Clara Lee Ying NGOH ; Horng Ruey CHUA ; Sabrina HAROON ; Weng Kin WONG ; Evan JC LEE ; Titus WL LAU ; Sunil SETHI ; Boon Wee TEO
Kidney Research and Clinical Practice 2019;38(1):71-80
BACKGROUND: Chronic kidney disease (CKD) is associated with fluid retention, which increases total body water (TBW) and leads to changes in intracellular water (ICW) and extracellular water (ECW). This complicates accurate assessments of body composition. Analysis of bioelectrical impedance may improve the accuracy of evaluation in CKD patients and multiple machines and technologies are available. We compared body composition by bioimpedance spectroscopy (BIS) against multi-frequency bioimpedance analysis (BIA) in a multi-ethnic Asian population of stable, non-dialysis CKD patients. METHODS: We recruited 98 stable CKD patients comprising 54.1% men and 70.4% Chinese, 9.2% Malay, 13.3% Indian, and 8.2% other ethnicities. Stability was defined as no variation in serum creatinine > 20% over three months. Patients underwent BIS analyses using a Fresenius body composition monitor, while BIA analyses employed a Bodystat Quadscan 4000. RESULTS: Mean TBW values by BIS and BIA were 33.6 ± 7.2 L and 38.3 ± 7.4 L; mean ECW values were 15.8 ± 3.2 L and 16.9 ± 2.7 L; and mean ICW values were 17.9 ± 4.3 L and 21.0 ± 4.9 L, respectively. Mean differences for TBW were 4.6 ± 1.9 L (P < 0.001), for ECW they were 1.2 ± 0.5 L (P < 0.001), and for ICW they were 3.2 ±1.8 L (P < 0.001). BIA and BIS measurements were highly correlated: TBW r = 0.970, ECW r = 0.994, and ICW r = 0.926. Compared with BIA, BIS assessments of fluid overload appeared to be more associated with biochemical and clinical indicators. CONCLUSION: Although both BIA and BIS can be used for body water assessment, clinicians should be aware of biases that exist between bioimpedance techniques. The values of body water assessments in our study were higher in BIA than in BIS. Ethnicity, sex, body mass index, and estimated glomerular filtration rate were associated with these biases.
Adult
;
Asian Continental Ancestry Group
;
Bias (Epidemiology)
;
Body Composition
;
Body Mass Index
;
Body Water
;
Creatinine
;
Electric Impedance
;
Glomerular Filtration Rate
;
Humans
;
Kidney Diseases
;
Male
;
Methods
;
Nutrition Assessment
;
Renal Insufficiency, Chronic
;
Spectrum Analysis
;
Water
8.Comparisons between different blood pressure measurement techniques in patients with chronic kidney disease
Shahrokh Ezzatzadegan JAHROMI ; Ghasem HAGHIGHI ; Jamshid ROOZBEH ; Vahid EBRAHIMI
Kidney Research and Clinical Practice 2019;38(2):212-219
BACKGROUND: Automated office blood pressure (AOBP) machines measure blood pressure (BP) multiple times over a brief period. We aimed to compare the results of manual office blood pressure (MOBP) and AOBP methods with ambulatory BP monitoring (ABPM) in patients with chronic kidney disease (CKD). METHODS: This study was performed on 64 patients with CKD (stages 3–4). A nurse manually measured the BP on both arms using a mercury sphygmomanometer, followed by AOBP of the arm with the higher BP and then ABPM. Mean BP readings were compared by paired t test and Bland–Altman graphs. RESULTS: The mean ± standard deviation (SD) age of participants was 59.3 ± 13.6. The mean ± SD awake systolic BP obtained by ABPM was 140.2 ± 19.0 mmHg, which was lower than the MOBP and AOBP methods (156.6 ± 17.8 and 148.8 ± 18.6 mmHg, respectively; P < 0.001). The mean ± SD awake diastolic BP was 78.6 ± 13.2 mmHg by ABPM which was lower than the MOBP and AOBP methods (88.9 ± 13.2 and 84.1 ± 14.0 mmHg, respectively; P < 0.001). Using Bland–Altman graphs, MOBP systolic BP readings showed a bias of 16.4 mmHg, while AOBP measurements indicated a bias of 8.6 mmHg compared with ABPM. CONCLUSION: AOBP methods may be more reliable than MOBP methods for determining BP in patients with CKD. However, the significantly higher mean BPs recorded by AOBP method suggested that AOBPs may not be as accurate as ABPM in patients with CKD.
Arm
;
Bias (Epidemiology)
;
Blood Pressure Monitoring, Ambulatory
;
Blood Pressure
;
Humans
;
Hypertension
;
Methods
;
Reading
;
Renal Insufficiency, Chronic
;
Sphygmomanometers
9.Online hemodiafiltration and mortality risk in end-stage renal disease patients: A critical appraisal of current evidence
Kidney Research and Clinical Practice 2019;38(2):159-168
The life expectancy of end-stage renal disease patients undergoing regular hemodialysis (HD) remains significantly lower than in the general population. Reducing excess mortality by improving renal replacement options is an unmet medical need. Online post-dilution hemodiafiltration (HDF) has been promoted as the gold standard, offering improved clinical outcomes, based on numerous observational studies that suggest a reduced mortality risk and lower morbidity with HDF compared with standard HD. However, most randomized controlled trials (RCTs) have failed to demonstrate a significant beneficial effect of HDF on all-cause mortality. The effects on secondary outcomes were often negligible or absent. Unfortunately, these RCTs were characterized by a moderate to high risk of bias. In post-hoc analyses of the largest RCTs and meta-analysis of individual participant data from four RCTs, HDF patients receiving the highest convection volume consistently and dose-dependently saw superior outcomes. However, as these studies were not designed a priori to clarify this issue, and there are no indisputable mechanisms underlying reduced mortality risks, we cannot exclude the possibility that the health status of patients (with vascular access as a proxy) may affect outcomes more than the convective technique itself. There is currently insufficient evidence to support the contention that high-volume HDF confers relevant benefits to patients over standard HD. The conflicting data of published RCTs reduce confidence in the superiority of high-volume convective therapy. Hopefully, ongoing large RCTs (for example, CONVINCE) may supply an indisputable answer to the crucial question of high-volume HDF.
Bias (Epidemiology)
;
Convection
;
Hemodiafiltration
;
Humans
;
Kidney Failure, Chronic
;
Life Expectancy
;
Mortality
;
Renal Dialysis
10.Assessment of P values for demographic data in randomized controlled trials
Eun Jin AHN ; Jong Hae KIM ; Tae Kyun KIM ; Jae Hong PARK ; Dong Kyu LEE ; Sangseok LEE ; Junyong IN ; Hyun KANG
Korean Journal of Anesthesiology 2019;72(2):130-134
In a large number of randomized controlled trials, researchers provide P values for demographic data, which are commonly reported in table 1 of the article for the purpose of emphasizing the lack of differences between or among groups. As such, the authors intend to demonstrate that statistically insignificant P values in the demographic data confirm that group randomization was adequately performed. However, statistically insignificant P values do not necessarily reflect successful randomization. It is more important to rigorously establish a plan for statistical analysis during the design and planning stage of the study, and to consider whether any of the variables included in the demographic data could potentially affect the research results. If a researcher rigorously designed and planned a study, and performed it accordingly, the conclusions drawn from the results would not be influenced by P values, regardless of whether they were significant. In contrasts, imbalanced variables could affect the results after variance controlling, even though whole study process are well planned and executed. In this situation, the researcher can provide results with both the initial method and a second stage of analysis including such variables. Otherwise, for brief conclusions, it would be pointless to report P values in a table simply listing baseline data of the participants.
Bias (Epidemiology)
;
Methods
;
Random Allocation

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