연구동향 분석
박사

만성 간질환의 급성 악화에 따른 간부전 (Acute-on-chronic liver failure)에서 간 이식 후 생존율 예측 모델 : 심기능 지표를 포함한 새로운 위험 예측 점수 = Prediction Model for Survival after Liver Transplantation In Acute-on-Chronic Liver Failure: Novel Risk Score Integrating Cardiac Biomarkers

권혜미 2020년

논문상세정보
인용/피인용
' 만성 간질환의 급성 악화에 따른 간부전 (Acute-on-chronic liver failure)에서 간 이식 후 생존율 예측 모델 : 심기능 지표를 포함한 새로운 위험 예측 점수 = Prediction Model for Survival after Liver Transplantation In Acute-on-Chronic Liver Failure: Novel Risk Score Integrating Cardiac Biomarkers' 의 주제별 논문영향력
논문영향력 선정 방법
논문영향력 요약
주제
  • acute-on-chronic liver failure
  • cardiac evaluation
  • liver transplantation
  • risk score
동일주제 총논문수 논문피인용 총횟수 주제별 논문영향력의 평균
18 0

0.0%

' 만성 간질환의 급성 악화에 따른 간부전 (Acute-on-chronic liver failure)에서 간 이식 후 생존율 예측 모델 : 심기능 지표를 포함한 새로운 위험 예측 점수 = Prediction Model for Survival after Liver Transplantation In Acute-on-Chronic Liver Failure: Novel Risk Score Integrating Cardiac Biomarkers' 의 참고문헌

  • ggRandomForests : Exploring random forest survival
    [2015]
  • Validation of prognostic scores to predict short-term mortality in patients with acuteon-chronic liver failure
    33 ( 4 ) :900-9 . [2018]
  • Utility of B-natriuretic peptide as a rapid , point-of-care test for screening patients undergoing echocardiography to determine left ventricular dysfunction
    141 ( 3 ) :367-74 . [2001]
  • Study E-CCC . Acute-on-chronic liver failure : A new syndrome that will re-classify cirrhosis
    62 ( 1 Suppl ) : S131-43 . [2015]
  • RedefiningCirrhoticCardiomyopathy for the Modern Era
    2019. doi : 10.1002/hep.30875 .
  • Predictors of morbidity and mortality inContemporary Fontan patients : results from a multicenter study includingCardiopulmonary exercise testing in 321 patients .
    31 ( 24 ) :3073-83 . [2010]
  • Perioperative Troponin Screening
    123 ( 2 ) :359-60 . [2016]
  • Novel head and neck cancer survival analysis approach : random survival forests versus Cox proportional hazards regression
    34 ( 1 ) :50-8 . [2012]
  • Nambi V. Troponin in Cardiovascular Disease Prevention : Updates and Future Direction .
    18 ( 3 ) :12 . [2016]
  • Multivariable prognostic models : issues in developing models , evaluating assumptions and adequacy , and measuring and reducing errors
    15 ( 4 ) :361-87 . [1996]
  • Lumley T. Evaluating the incremental value of new biomarkers with integrated discrimination improvement .
    174 ( 3 ) :364-74 . [2011]
  • Living Donor Liver Transplantation for Acute-on-Chronic Liver Failure
    25 ( 3 ) :459-68 . [2019]
  • Liver transplantation in the most severely ill cirrhotic patients : A multicenter study in acute-on-chronic liver failure grade 3
    67 ( 4 ) :708-15 . [2017]
  • Liver transplantation for grade 3 acuteon-chronic liver failure : Type of organ failure is important
    68 ( 3 ) :621-2 [2018]
  • Liu G. Cardiac arrest after graft reperfusion during liver transplantation
    5 ( 2 ) :185-9 . [2006]
  • Lauer MS. Identifying important risk factors for survival in patient with systolic heart failure using random survival forests .
    4 ( 1 ) :39-45 . [2011]
  • Kolamunnage-Dona R. Time-dependent ROC curve analysis in medical research : current methods and applications
    17 [2017]
  • Internal validation of predictive models : Efficiency of some procedures for logistic regression analysis
    54 ( 8 ) :774-81 [2001]
  • Increases in serum concentrations of cardiac proteins and the prediction of early postoperative cardiovascular complications in noncardiac surgery patients
    55 ( 7 ) :641-7 . [2000]
  • How to derive and validate clinical prediction models for use in intensive care medicine
    40 ( 4 ) :513-27 . [2014]
  • High early cardiovascular mortality after liver transplantation
    20 ( 11 ) :1306-16 . [2014]
  • High brain-natriuretic peptide level predicts cirrhotic cardiomyopathy in liver transplant patients
    24 ( 5 ) :425-32 . [2011]
  • Heart Failure Association of the European Society of Cardiology practical guidance on the use of natriuretic peptide concentrations
    21 ( 6 ) :715-31 [2019]
  • Greenland P. Interpreting incremental value of markers added to risk prediction models
    176 ( 6 ) :473-81 . [2012]
  • Factors Associated with Survival of Patients With Severe Acute-On-Chronic Liver Failure Before and After Liver Transplantation
    156 ( 5 ) :1381-91 e3 [2019]
  • Extensions of net reclassification improvement calculations to measure usefulness of new biomarkers
    30 ( 1 ) :11-21 . [2011]
  • Development and validation of a prognostic score to predict mortality in patients with acute-on-chronic liver failure
    61 ( 5 ) :1038-47 [2014]
  • Clinical Course of acute-on-chronic liver failure syndrome and effects on prognosis
    62 ( 1 ) :243-52 . [2015]
  • Cirrhotic cardiomyopathy : a pathophysiological review of circulatory dysfunction in liver disease
    87 ( 1 ) :9-15 . [2002]
  • Cirrhotic Cardiomyopathy After Transplantation : Neither the Transient Nor Innocent Bystander .
    68 ( 5 ) :2008-15 . [2018]
  • Chiang CT. Estimation methods for time-dependent AUC models with survival data .
    38 ( 1 ) :8-26 . [2010]
  • Chawla Y. APACHE II score is superior to SOFA , CTP and MELD in predicting the short-term mortality in patients with acute-on-chronic liver failure ( ACLF )
    14 ( 9 ) :484-90 . [2013]
  • Cardiovascular risk assessment of the liver transplant candidate
    58 ( 3 ) :223-31 . [2011]
  • Cardiovascular dysfunction and liver transplantation
    71 ( 2 ) :85-91 . [2018]
  • Bendjelid K. Appraising cardiac dysfunction in liver transplantation : an ongoing challenge
    35 ( 1 ) :12-29 . [2015]
  • Assessing improvement in disease prediction using net reclassification improvement : impact of risk cut-offs and number of risk categories
    28 ( 1 ) :25-33 . [2013]
  • Acute-on chronic liver failure
    57 ( 6 ) :1336-48 . [2012]
  • Acute-onchronic liver failure is a distinct syndrome that develops in patients with acute decompensation of cirrhosis
    144 ( 7 ) :1426-37 , 37 e1-9 [2013]
  • A unified inference procedure for a class of measures to assess improvement in risk prediction systems with survival data
    32 ( 14 ) :2430-42 [2013]
  • A point-based prediction model for cardiovascular risk in orthotopic liver transplantation : The CAR-OLT score
    66 ( 6 ) :1968-79 . [2017]