Total, apoptotic and necrotic cell death marker levels for prediction of severe fibrosis (F≥3) (n = 143).

Predictors for advanced fibrosis in participants with NAFLD in the U.S. National Health and Nutrition Examination Survey, 1999–2012 (n = 1936).

Michael H. Le (3863137)
Pardha Devaki (3863143)
Nghiem B. Ha (3863134)
Dae Won Jun (3863152)
Helen S. Te (3863149)
Ramsey C. Cheung (3863140)
Mindie H. Nguyen (3863146)

March 2017

Predictors for advanced fibrosis in participants with NAFLD in the U.S. National Health and Nutri...

Clinical use of biomarkers of survival in pulmonary fibrosis

Thomeer, Michiel
Grutters, Jan C
Wuyts, Wim
Willems, Stijn
Demedts, Maurits

January 2010

BACKGROUND: Biologic predictors or biomarkers of survival in pulmonary fibrosis with a worse prognos...

Clinical parameters predictive of significant liver necroinflammation and fibrosis by multivariate analysis.

Wai-Kay Seto (310865)
Ching-Lung Lai (310874)
Philip P. C. Ip (299886)
James Fung (310867)
Danny Ka-Ho Wong (310866)
John Chi-Hang Yuen (310868)
Ivan Fan-Ngai Hung (310871)
Man-Fung Yuen (310877)

February 2013

Clinical parameters predictive of significant liver necroinflammation and fibrosis by multivariat...

Levels of total, apoptotic and necrotic cells death markers for diagnosis of advanced fibrosis (F≥3) in 143 alcoholic patients.

Vanessa Jeannette Lavallard (354614)
Stéphanie Bonnafous (173839)
Stéphanie Patouraux (173837)
Marie-Christine Saint-Paul (173853)
Déborah Rousseau (310)
Rodolphe Anty (173847)
Yannick Le Marchand-Brustel (111906)
Albert Tran (173885)
Philippe Gual (173889)

February 2013

The area under the ROC curves are shown for the performance of the total (CK18 total), apoptotic ...

Receiver operating characteristic analysis of the 3 cell death biomarkers (M30, M65, and M65ED) for the prediction of (A) significant fibrosis (≥F2), (B) severe fibrosis (≥F3), and (C) cirrhosis (F4).

Tomohiro Sekiguchi (760690)
Takeji Umemura (272474)
Naoyuki Fujimori (760691)
Soichiro Shibata (496452)
Yuki Ichikawa (760692)
Takefumi Kimura (496453)
Satoru Joshita (496451)
Michiharu Komatsu (496454)
Akihiro Matsumoto (496455)
Eiji Tanaka (111967)
Masao Ota (157102)

June 2015

Receiver operating characteristic analysis of the 3 cell death biomarkers (M30, M65, and M65ED) f...

Features Associated With Mortality in Advanced Fibrotic Patients (fibrosis score 3–4) (N = 619) According to Cox Proportional Hazards Model:Results of Multivariate Analyses.

Yi-Hao Yen (837269)
Kwong-Ming Kee (738453)
Chien-Hung Chen (367115)
Tsung-Hui Hu (349887)
Sheng-Nan Lu (53407)
Jing-Houng Wang (349885)
Chao-Hung Hung (349882)

January 2019

Features Associated With Mortality in Advanced Fibrotic Patients (fibrosis score 3–4) (N = 619) Acco...

Features Associated With Mortality in Advanced Fibrotic Patients (fibrosis score 3–4, N = 619) According to Cox Proportional Hazards Model:Results of Multivariate Analyses (If we consider bacterial infection as liver-related mortality).

Yi-Hao Yen (837269)
Kwong-Ming Kee (738453)
Chien-Hung Chen (367115)
Tsung-Hui Hu (349887)
Sheng-Nan Lu (53407)
Jing-Houng Wang (349885)
Chao-Hung Hung (349882)

January 2019

Features Associated With Mortality in Advanced Fibrotic Patients (fibrosis score 3–4, N = 619) Accor...

Diagnostic accuracy and clinical utility for prediction of fibrosis in validation group.

Zhiqiao Zhang (2600698)
Gongsui Wang (2600695)
Kaifu Kang (2600701)
Guobiao Wu (2600704)
Peng Wang (34436)

April 2016

Diagnostic accuracy and clinical utility for prediction of fibrosis in validation group.</p

Sensitivity, specificity, NPV and PPV of combined ARF and active bleeding in prediction of fatal DVI.

Kamolwish Laoprasopwattana (424106)
Wanwipa Chaimongkol (668177)
Pornpimol Pruekprasert (668178)
Alan Geater (63143)

December 2014

NPV, negative predictive value; PPV, positive predictive value; ARF; acute respiratory failure.</...

Features Associated With Mortality in Mild Fibrotic Patients (fibrosis score 0–2) (N = 833) According to Cox Proportional Hazards Model:Results of Multivariate Analyses.

Yi-Hao Yen (837269)
Kwong-Ming Kee (738453)
Chien-Hung Chen (367115)
Tsung-Hui Hu (349887)
Sheng-Nan Lu (53407)
Jing-Houng Wang (349885)
Chao-Hung Hung (349882)

January 2019

Features Associated With Mortality in Mild Fibrotic Patients (fibrosis score 0–2) (N = 833) Accordin...

Features Associated With Mortality In Advanced Fibrotic patients (fibrosis score 3–4) with SVR (N = 438) According to Cox Proportional Hazards Model:Results of Multivariate Analyses.

Yi-Hao Yen (837269)
Kwong-Ming Kee (738453)
Chien-Hung Chen (367115)
Tsung-Hui Hu (349887)
Sheng-Nan Lu (53407)
Jing-Houng Wang (349885)
Chao-Hung Hung (349882)

January 2019

Features Associated With Mortality In Advanced Fibrotic patients (fibrosis score 3–4) with SVR (N = ...

Predictive values for advanced liver fibrosis in patients infected with HCV.

Masato Nakamura (47969)
Tatsuo Kanda (234184)
Xia Jiang (210366)
Yuki Haga (764328)
Koji Takahashi (1510750)
Shuang Wu (148427)
Shin Yasui (4007057)
Shingo Nakamoto (337728)
Osamu Yokosuka (234198)

May 2017

Predictive values for advanced liver fibrosis in patients infected with HCV.</p

Evaluating the discriminating capacity of cell death (apoptotic) biomarkers in sepsis

Christopher Duplessis
Michael Gregory
Kenneth Frey
Matthew Bell
Luu Truong
Kevin Schully
James Lawler
Raymond J. Langley
Stephen F. Kingsmore
Christopher W. Woods
Emanuel P. Rivers
Anja K. Jaehne
Eugenia B. Quackenbush
Vance G. Fowler
Ephraim L. Tsalik
Danielle Clark

November 2018

Abstract Background Sepsis biomarker panels that provide diagnostic and prognostic discrimination in...

The novel fibrosis index at diagnosis may predict all-cause mortality in patients with antineutrophil cytoplasmic antibody-associated vasculitis without substantial liver diseases

Pyo, Jung Yoon
Ahn, Sung Soo
Lee, Lucy Eunju
Choi, Gwang-mu
Song, Jason Jungsik
Park, Yong-Beom
Lee, Sang-Won

November 2021

OBJECTIVES: Antineutrophil cyto plasmic antibody-associated vasculitis (AAV) is a fatal disease. Cur...

Features Associated With Mortality In Mild Fibrotic Patients (fibrosis score 0–2) with SVR (N = 686) According to Cox Proportional Hazards Model:Results of Multivariate Analyses.

Yi-Hao Yen (837269)
Kwong-Ming Kee (738453)
Chien-Hung Chen (367115)
Tsung-Hui Hu (349887)
Sheng-Nan Lu (53407)
Jing-Houng Wang (349885)
Chao-Hung Hung (349882)

January 2019

Features Associated With Mortality In Mild Fibrotic Patients (fibrosis score 0–2) with SVR (N = 686)...

Predictors for advanced fibrosis in participants with NAFLD in the U.S. National Health and Nutrition Examination Survey, 1999–2012 (n = 1936).

Michael H. Le (3863137)
Pardha Devaki (3863143)
Nghiem B. Ha (3863134)
Dae Won Jun (3863152)
Helen S. Te (3863149)
Ramsey C. Cheung (3863140)
Mindie H. Nguyen (3863146)

March 2017

Predictors for advanced fibrosis in participants with NAFLD in the U.S. National Health and Nutri...

Clinical use of biomarkers of survival in pulmonary fibrosis

Thomeer, Michiel
Grutters, Jan C
Wuyts, Wim
Willems, Stijn
Demedts, Maurits

January 2010

BACKGROUND: Biologic predictors or biomarkers of survival in pulmonary fibrosis with a worse prognos...

Clinical parameters predictive of significant liver necroinflammation and fibrosis by multivariate analysis.

Wai-Kay Seto (310865)
Ching-Lung Lai (310874)
Philip P. C. Ip (299886)
James Fung (310867)
Danny Ka-Ho Wong (310866)
John Chi-Hang Yuen (310868)
Ivan Fan-Ngai Hung (310871)
Man-Fung Yuen (310877)

February 2013

Clinical parameters predictive of significant liver necroinflammation and fibrosis by multivariat...

Levels of total, apoptotic and necrotic cells death markers for diagnosis of advanced fibrosis (F≥3) in 143 alcoholic patients.

Vanessa Jeannette Lavallard (354614)
Stéphanie Bonnafous (173839)
Stéphanie Patouraux (173837)
Marie-Christine Saint-Paul (173853)
Déborah Rousseau (310)
Rodolphe Anty (173847)
Yannick Le Marchand-Brustel (111906)
Albert Tran (173885)
Philippe Gual (173889)

February 2013

The area under the ROC curves are shown for the performance of the total (CK18 total), apoptotic ...

Receiver operating characteristic analysis of the 3 cell death biomarkers (M30, M65, and M65ED) for the prediction of (A) significant fibrosis (≥F2), (B) severe fibrosis (≥F3), and (C) cirrhosis (F4).

Tomohiro Sekiguchi (760690)
Takeji Umemura (272474)
Naoyuki Fujimori (760691)
Soichiro Shibata (496452)
Yuki Ichikawa (760692)
Takefumi Kimura (496453)
Satoru Joshita (496451)
Michiharu Komatsu (496454)
Akihiro Matsumoto (496455)
Eiji Tanaka (111967)
Masao Ota (157102)

June 2015

Receiver operating characteristic analysis of the 3 cell death biomarkers (M30, M65, and M65ED) f...

Features Associated With Mortality in Advanced Fibrotic Patients (fibrosis score 3–4) (N = 619) According to Cox Proportional Hazards Model:Results of Multivariate Analyses.

Yi-Hao Yen (837269)
Kwong-Ming Kee (738453)
Chien-Hung Chen (367115)
Tsung-Hui Hu (349887)
Sheng-Nan Lu (53407)
Jing-Houng Wang (349885)
Chao-Hung Hung (349882)

January 2019

Features Associated With Mortality in Advanced Fibrotic Patients (fibrosis score 3–4) (N = 619) Acco...

Features Associated With Mortality in Advanced Fibrotic Patients (fibrosis score 3–4, N = 619) According to Cox Proportional Hazards Model:Results of Multivariate Analyses (If we consider bacterial infection as liver-related mortality).

Yi-Hao Yen (837269)
Kwong-Ming Kee (738453)
Chien-Hung Chen (367115)
Tsung-Hui Hu (349887)
Sheng-Nan Lu (53407)
Jing-Houng Wang (349885)
Chao-Hung Hung (349882)

January 2019

Features Associated With Mortality in Advanced Fibrotic Patients (fibrosis score 3–4, N = 619) Accor...

Diagnostic accuracy and clinical utility for prediction of fibrosis in validation group.

Zhiqiao Zhang (2600698)
Gongsui Wang (2600695)
Kaifu Kang (2600701)
Guobiao Wu (2600704)
Peng Wang (34436)

April 2016

Diagnostic accuracy and clinical utility for prediction of fibrosis in validation group.</p

Sensitivity, specificity, NPV and PPV of combined ARF and active bleeding in prediction of fatal DVI.

Kamolwish Laoprasopwattana (424106)
Wanwipa Chaimongkol (668177)
Pornpimol Pruekprasert (668178)
Alan Geater (63143)

December 2014

NPV, negative predictive value; PPV, positive predictive value; ARF; acute respiratory failure.</...

Features Associated With Mortality in Mild Fibrotic Patients (fibrosis score 0–2) (N = 833) According to Cox Proportional Hazards Model:Results of Multivariate Analyses.

Yi-Hao Yen (837269)
Kwong-Ming Kee (738453)
Chien-Hung Chen (367115)
Tsung-Hui Hu (349887)
Sheng-Nan Lu (53407)
Jing-Houng Wang (349885)
Chao-Hung Hung (349882)

January 2019

Features Associated With Mortality in Mild Fibrotic Patients (fibrosis score 0–2) (N = 833) Accordin...

Features Associated With Mortality In Advanced Fibrotic patients (fibrosis score 3–4) with SVR (N = 438) According to Cox Proportional Hazards Model:Results of Multivariate Analyses.

Yi-Hao Yen (837269)
Kwong-Ming Kee (738453)
Chien-Hung Chen (367115)
Tsung-Hui Hu (349887)
Sheng-Nan Lu (53407)
Jing-Houng Wang (349885)
Chao-Hung Hung (349882)

January 2019

Features Associated With Mortality In Advanced Fibrotic patients (fibrosis score 3–4) with SVR (N = ...

Predictive values for advanced liver fibrosis in patients infected with HCV.

Masato Nakamura (47969)
Tatsuo Kanda (234184)
Xia Jiang (210366)
Yuki Haga (764328)
Koji Takahashi (1510750)
Shuang Wu (148427)
Shin Yasui (4007057)
Shingo Nakamoto (337728)
Osamu Yokosuka (234198)

May 2017

Predictive values for advanced liver fibrosis in patients infected with HCV.</p

Evaluating the discriminating capacity of cell death (apoptotic) biomarkers in sepsis

Christopher Duplessis
Michael Gregory
Kenneth Frey
Matthew Bell
Luu Truong
Kevin Schully
James Lawler
Raymond J. Langley
Stephen F. Kingsmore
Christopher W. Woods
Emanuel P. Rivers
Anja K. Jaehne
Eugenia B. Quackenbush
Vance G. Fowler
Ephraim L. Tsalik
Danielle Clark

November 2018

Abstract Background Sepsis biomarker panels that provide diagnostic and prognostic discrimination in...

The novel fibrosis index at diagnosis may predict all-cause mortality in patients with antineutrophil cytoplasmic antibody-associated vasculitis without substantial liver diseases

Pyo, Jung Yoon
Ahn, Sung Soo
Lee, Lucy Eunju
Choi, Gwang-mu
Song, Jason Jungsik
Park, Yong-Beom
Lee, Sang-Won

November 2021

OBJECTIVES: Antineutrophil cyto plasmic antibody-associated vasculitis (AAV) is a fatal disease. Cur...

Features Associated With Mortality In Mild Fibrotic Patients (fibrosis score 0–2) with SVR (N = 686) According to Cox Proportional Hazards Model:Results of Multivariate Analyses.

Yi-Hao Yen (837269)
Kwong-Ming Kee (738453)
Chien-Hung Chen (367115)
Tsung-Hui Hu (349887)
Sheng-Nan Lu (53407)
Jing-Houng Wang (349885)
Chao-Hung Hung (349882)

January 2019

Features Associated With Mortality In Mild Fibrotic Patients (fibrosis score 0–2) with SVR (N = 686)...

Predictors for advanced fibrosis in participants with NAFLD in the U.S. National Health and Nutrition Examination Survey, 1999–2012 (n = 1936).

Michael H. Le (3863137)
Pardha Devaki (3863143)
Nghiem B. Ha (3863134)
Dae Won Jun (3863152)
Helen S. Te (3863149)
Ramsey C. Cheung (3863140)
Mindie H. Nguyen (3863146)

March 2017

Predictors for advanced fibrosis in participants with NAFLD in the U.S. National Health and Nutri...

Clinical use of biomarkers of survival in pulmonary fibrosis

Thomeer, Michiel
Grutters, Jan C
Wuyts, Wim
Willems, Stijn
Demedts, Maurits

January 2010

BACKGROUND: Biologic predictors or biomarkers of survival in pulmonary fibrosis with a worse prognos...

Clinical parameters predictive of significant liver necroinflammation and fibrosis by multivariate analysis.

Wai-Kay Seto (310865)
Ching-Lung Lai (310874)
Philip P. C. Ip (299886)
James Fung (310867)
Danny Ka-Ho Wong (310866)
John Chi-Hang Yuen (310868)
Ivan Fan-Ngai Hung (310871)
Man-Fung Yuen (310877)

February 2013

Clinical parameters predictive of significant liver necroinflammation and fibrosis by multivariat...

Total, apoptotic and necrotic cell death marker levels for prediction of severe fibrosis (F≥3) (n = 143).

Abstract

Extracted data

Total, apoptotic and necrotic cell death marker levels for prediction of severe fibrosis (F≥3) (n = 143).

Abstract

Extracted data

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