For: | Liu XD, Wu JL, Liang J, Zhang T, Sheng QS. Globulin-platelet model predicts minimal fibrosis and cirrhosis in chronic hepatitis B virus infected patients. World J Gastroenterol 2012; 18(22): 2784-2792 [PMID: 22719186 DOI: 10.3748/wjg.v18.i22.2784] |
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URL: | https://www.wjgnet.com/1007-9327/full/v18/i22/2784.htm |
Number | Citing Articles |
1 |
Zhao Wu, Xiaoqin Dong, Guiqiang Wang, Hong Zhao. Clinical noninvasive markers for antiviral therapy decision in chronic hepatitis B with alanine aminotransferase less than two times upper limit of normal. Journal of Viral Hepatitis 2019; 26(2): 287 doi: 10.1111/jvh.13030
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2 |
Li Xiao, Jianchun Xian, Yang Li, Aiwen Geng, Xiuzhen Yang, Libin Han, Hongtao Xu. Parameters Associated with Significant Liver Histological Changes in Patients with Chronic Hepatitis B. ISRN Gastroenterology 2014; 2014: 1 doi: 10.1155/2014/913890
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3 |
Wen Jia, Xun Qi, Yan-Yan Ji, Yun-Hao Xun, Hong Wang, Wen-Hong Zhang, Jian-Hua Yang, Jin-Yu Wang, Hao-Xiang Zhu, Ri-Cheng Mao, Ji-Ming Zhang. Low Serum Hepatitis B Surface Antigen Level Predicts Compensated Cirrhosis Caused by Chronic Hepatitis B in HBeAg Positive Patients in East China. Hepatitis Monthly 2015; 15(8) doi: 10.5812/hepatmon.29183
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4 |
M.‐Y. Zhu, X. Zou, Q. Li, D.‐M. Yu, Z.‐T. Yang, D. Huang, J. Chen, Q.‐M. Gong, D.‐H. Zhang, Y. Zhang, L. Chen, P.‐Z. Chen, X.‐X. Zhang. A novel noninvasive algorithm for the assessment of liver fibrosis in patients with chronic hepatitis B virus infection. Journal of Viral Hepatitis 2017; 24(7): 589 doi: 10.1111/jvh.12682
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5 |
Da-Wu Zeng, Jing Dong, Jia-Ji Jiang, Yue-Yong Zhu, Yu-Rui Liu. Ceruloplasmin, a reliable marker of fibrosis in chronic hepatitis B virus patients with normal or minimally raised alanine aminotransferase. World Journal of Gastroenterology 2016; 22(43): 9586-9594 doi: 10.3748/wjg.v22.i43.9586
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6 |
Da-Wu Zeng, Yu-Rui Liu, Jie-Min Zhang, Yue-Yong Zhu, Su Lin, Jia You, You-Bing Li, Jing Chen, Qi Zheng, Jia-Ji Jiang, Jing Dong, Anand S Mehta. Serum Ceruloplasmin Levels Correlate Negatively with Liver Fibrosis in Males with Chronic Hepatitis B: A New Noninvasive Model for Predicting Liver Fibrosis in HBV-Related Liver Disease. PLoS ONE 2013; 8(10): e77942 doi: 10.1371/journal.pone.0077942
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7 |
Jian Wang, Xiaomin Yan, Yue Yang, Haiyan Chang, Bei Jia, Xiang-An Zhao, Guangmei Chen, Juan Xia, Yong Liu, Yuxin Chen, Guiyang Wang, Li Wang, Zhaoping Zhang, Weimao Ding, Rui Huang, Chao Wu. A novel predictive model using routinely clinical parameters to predict liver fibrosis in patients with chronic hepatitis B. Oncotarget 2017; 8(35): 59257 doi: 10.18632/oncotarget.19501
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8 |
Lingmei Wang, Jiao Li, Kai Yang, Hao Zhang, Qin Wang, Xiongwen Lv, Shihe Guan. Comparison and evaluation of non-invasive models in predicting liver inflammation and fibrosis of chronic hepatitis B virus-infected patients with high hepatitis B virus DNA and normal or mildly elevated alanine transaminase levels. Medicine 2020; 99(23): e20548 doi: 10.1097/MD.0000000000020548
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9 |
Xue-Ying Xu, Wu-Sheng Wang, Qi-Meng Zhang, Jun-Ling Li, Jin-Bin Sun, Tian-Tian Qin, Hong-Bo Liu. Performance of common imaging techniques <i>vs</i> serum biomarkers in assessing fibrosis in patients with chronic hepatitis B: A systematic review and meta-analysis. World Journal of Clinical Cases 2019; 7(15): 2022-2037 doi: 10.12998/wjcc.v7.i15.2022
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10 |
Guangqin Xiao, Jiayin Yang, Lunan Yan. Comparison of diagnostic accuracy of aspartate aminotransferase to platelet ratio index and fibrosis‐4 index for detecting liver fibrosis in adult patients with chronic hepatitis B virus infection: A systemic review and meta‐analysis. Hepatology 2015; 61(1): 292 doi: 10.1002/hep.27382
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11 |
Da-Wu Zeng, Jing Dong, Yu-Rui Liu, Jia-Ji Jiang, Yue-Yong Zhu. Noninvasive models for assessment of liver fibrosis in patients with chronic hepatitis B virus infection. World Journal of Gastroenterology 2016; 22(29): 6663-6672 doi: 10.3748/wjg.v22.i29.6663
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12 |
Jing Li, Ri-Cheng Mao, Xiao-Ling Li, Jin-Wei Zheng, Xun Qi, Quan Yuan, Jun Zhang, Ji-Ming Zhang, Ning-Shao Xia. A novel noninvasive index for the prediction of moderate to severe fibrosis in chronic hepatitis B patients. Digestive and Liver Disease 2018; 50(5): 482 doi: 10.1016/j.dld.2017.12.028
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13 |
Zhiyi Zhang, Jian Wang, Yun Chen, Yiguang Li, Li Zhu, Huali Wang, Yilin Liu, Jiacheng Liu, Shengxia Yin, Xin Tong, Xiaomin Yan, Yuxin Chen, Chuanwu Zhu, Jie Li, Yuanwang Qiu, Chao Wu, Rui Huang. A novel web-based online nomogram to predict advanced liver fibrosis in patients with autoimmune hepatitis-primary biliary cholangitis overlap syndrome. Journal of Translational Autoimmunity 2023; 7: 100215 doi: 10.1016/j.jtauto.2023.100215
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14 |
Yi Xiang Zheng, Shu Juan Ma, Meng Hou Lu. Diagnostic Estimation of Noninvasive Tests for Hepatic Fibrosis in Chronic Hepatitis B Patients Without a Gold Standard. Hepatitis Monthly 2016; 16(2) doi: 10.5812/hepatmon.31983
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15 |
Yuanyuan Li, Yu Chen, Ying Zhao, Robert Lane. Schmidt. The Diagnostic Value of the FIB-4 Index for Staging Hepatitis B-Related Fibrosis: A Meta-Analysis. PLoS ONE 2014; 9(8): e105728 doi: 10.1371/journal.pone.0105728
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16 |
Yun-Xia Li, Xiao-Hong Gong, Mei-Chen Liu, Cheng Peng, Peng Li, Yi-Tao Wang. Investigation of Liver Injury of Polygonum multiflorum Thunb. in Rats by Metabolomics and Traditional Approaches. Frontiers in Pharmacology 2017; 8 doi: 10.3389/fphar.2017.00791
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17 |
Xiaoling Yuan, Sheng-Zhong Duan, Junying Cao, Nan Gao, Jie Xu, Lanjing Zhang. Noninvasive inflammatory markers for assessing liver fibrosis stage in autoimmune hepatitis patients. European Journal of Gastroenterology & Hepatology 2019; 31(11): 1467 doi: 10.1097/MEG.0000000000001437
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18 |
Pinggui Lei, Na Hu, Yuhui Wu, Maowen Tang, Chong Lin, Luoyi Kong, Lingfeng Zhang, Peng Luo, Lawrence Wing‐Chi Chan. Radiobioinformatics: A novel bridge between basic research and clinical practice for clinical decision support in diffuse liver diseases. iRADIOLOGY 2023; 1(2): 167 doi: 10.1002/ird3.24
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19 |
Qing Pang, Hui-Chun Liu, Lei Zhou, Hao Jin. Inappropriate use of FIB-4 index for cirrhosis detection in hepatocellular carcinoma patients. Journal of Hepatology 2017; 67(4): 883 doi: 10.1016/j.jhep.2017.04.029
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20 |
Irene Cacciola, Roberto Filomia, Angela Alibrandi, Maria Stella Franzè, Gaia Caccamo, Sergio Maimone, Carlo Saitta, Francesca Saffioti, Giovanni Squadrito, Giovanni Raimondo. Hypergammaglobulinemia is a strong predictor of disease progression, hepatocellular carcinoma, and death in patients with compensated cirrhosis. Liver International 2018; 38(7): 1220 doi: 10.1111/liv.13649
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21 |
Ki Tae Suk, Dae Yong Kim, Kyoung Min Sohn, Dong Joon Kim. . Advances in Clinical Chemistry 2013; 62: 33 doi: 10.1016/B978-0-12-800096-0.00002-0
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22 |
Zhongbao Zuo, Huaizhong Cui, Miaochan Wang, Congxiang Huang, Jing Wu, Chengjing Tao, Zhaoyi Li, Chunli Yang, Kenv Pan, Jianfeng Bao, Shourong Liu, Aifang Xu, Daisuke Tokuhara. Diagnostic of FibroTouch and six serological models in assessing the degree of liver fibrosis among patients with chronic hepatic disease: A single-center retrospective study. PLOS ONE 2022; 17(7): e0270512 doi: 10.1371/journal.pone.0270512
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23 |
Fatma Demet Arslan, Inanc Karakoyun, Bengu Tatar, Emel Ebru Pala, Mustafa Yıldırım, Celal Ulasoglu, Can Duman, Harun Akar, Sukran Kose, Banu Isbilen Basok. SHFI: A Novel Noninvasive Predictive Model for Significant Fibrosis in Patients With Chronic Hepatitis B. Hepatitis Monthly 2018; 18(2) doi: 10.5812/hepatmon.63310
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24 |
Myron J. Tong, Judy Trieu. Hepatitis B inactive carriers: Clinical course and outcomes. Journal of Digestive Diseases 2013; 14(6): 311 doi: 10.1111/1751-2980.12051
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25 |
Zhi Yin, Jin Zou, Qiongxuan Li, Lizhang Chen. Diagnostic value of FIB-4 for liver fibrosis in patients with hepatitis B: a meta-analysis of diagnostic test. Oncotarget 2017; 8(14): 22944 doi: 10.18632/oncotarget.14430
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26 |
兆宇 屈. Application of Noninvasive Diagnostic Model in Liver Fibrosis of Patients with Chronic Hepatitis B. Advances in Clinical Medicine 2022; 12(09): 8593 doi: 10.12677/ACM.2022.1291241
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27 |
Laurens A. van Kleef, Robert J. de Knegt, Ibrahim Ayada, Qiuwei Pan, Willem Pieter Brouwer. The Steatosis-associated fibrosis estimator (SAFE) score: validation in the general US population. Hepatology Communications 2023; 7(4) doi: 10.1097/HC9.0000000000000075
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28 |
Ruyu Liu, Minghui Li, Yao Lu, Lu Zhang, Ge Shen, Shuling Wu, Min Chang, Hongxiao Hao, Leiping Hu, Yuanjiao Gao, Mengjiao Xu, Yao Xie. Hepatitis B core‐related antigen serum levels are associated with significant liver fibrosis in treatment‐naive chronic HBV infection patients. Journal of Viral Hepatitis 2022; 29(6): 438 doi: 10.1111/jvh.13674
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29 |
Banu Demet Coskun, Engin Altinkaya, Eylem Sevinc, Mustafa Ozen, Hatice Karaman, Ahmet Karaman, Orhan Poyrazoglu. The diagnostic value of a globulin/platelet model for evaluating liver fibrosis in chronic hepatitis B patients. Revista Española de Enfermedades Digestivas 2015; 107 doi: 10.17235/reed.2015.3851/2015
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30 |
Xue-Ying Xu, Hong Kong, Rui-Xiang Song, Yu-Han Zhai, Xiao-Fei Wu, Wen-Si Ai, Hong-Bo Liu, Anand S. Mehta. The Effectiveness of Noninvasive Biomarkers to Predict Hepatitis B-Related Significant Fibrosis and Cirrhosis: A Systematic Review and Meta-Analysis of Diagnostic Test Accuracy. PLoS ONE 2014; 9(6): e100182 doi: 10.1371/journal.pone.0100182
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31 |
Limin Feng, Ke Sun, Jie Zhang, Guofang Feng, Ying Zhao. A novel non-invasive index using AFP and APTT is associated with liver fibrosis in patients with chronic hepatitis B infection: a retrospective cohort study. BMJ Open 2015; 5(9): e008032 doi: 10.1136/bmjopen-2015-008032
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32 |
Minhui Dong, Jingwen Wu, Xueping Yu, Jing Li, Sisi Yang, Xun Qi, Richeng Mao, Yongmei Zhang, Jie Yu, Haoxiang Zhu, Feifei Yang, Yanli Qin, Jiming Zhang. Validation and comparison of seventeen noninvasive models for evaluating liver fibrosis in Chinese hepatitis B patients. Liver International 2018; 38(9): 1562 doi: 10.1111/liv.13688
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33 |
Zhixin Tu, Yao Wang, Yan Wang, Jianjie Huang, Yujin Han, Qijia Ji, Xiaoxuan Cao, Xiaoyu Wen, Yang Wang, Qinglong Jin. TR score: A noninvasive model to predict histological stages in patients with primary biliary cholangitis. Frontiers in Immunology 2023; 14 doi: 10.3389/fimmu.2023.1152294
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34 |
Huan Wang, Hongqin Xu, Limei Qu, Xiaomei Wang, Ruihong Wu, Xiuzhu Gao, Qinglong Jin, Junqi Niu. Red blood cell distribution width and globulin, noninvasive indicators of fibrosis and inflammation in chronic hepatitis patients. European Journal of Gastroenterology & Hepatology 2016; 28(9): 997 doi: 10.1097/MEG.0000000000000662
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35 |
Qiang Li, Chuan Lu, Weixia Li, Yuxian Huang, Liang Chen. Globulin–platelet model predicts significant fibrosis and cirrhosis in CHB patients with high HBV DNA and mildly elevated alanine transaminase levels. Clinical and Experimental Medicine 2018; 18(1): 71 doi: 10.1007/s10238-017-0472-3
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36 |
Siwanon Nawalerspanya, Jarukit Tantipisit, Suraphon Assawasuwannakit, Apichat Kaewdech, Naichaya Chamroonkul, Pimsiri Sripongpun. Non-Invasive Serum Biomarkers for the Diagnosis of Cirrhosis in Patients with Autoimmune Hepatitis (AIH) and AIH-Primary Biliary Cholangitis Overlap Syndrome (AIH-PBC): Red Cell Distribution Width to Platelet Ratio (RPR) Yielded the Most Promising Result. Diagnostics 2024; 14(3): 265 doi: 10.3390/diagnostics14030265
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37 |
Ji Xuan, Dongmei Zhu, Zhengyuan Cheng, Yuping Qiu, Mei Shao, Ya Yang, Qi Zhai, Fangyu Wang, Feng Qin. Crocin inhibits the activation of mouse hepatic stellate cells via the lnc-LFAR1/MTF-1/GDNF pathway. Cell Cycle 2020; 19(24): 3480 doi: 10.1080/15384101.2020.1848064
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38 |
Shudong Xie, Yu Zhang, Junhui Li, Jie Zhou, Jun Li, Pengpeng Zhang, Yang Liu, Yulin Luo, Yingzi Ming. IgG persistence showed weak clinical aspects in chronic schistosomiasis patients. Scientific Reports 2023; 13(1) doi: 10.1038/s41598-023-40082-z
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39 |
Bingtian Dong, Guorong Lyu, Yuping Chen, Guofu Lin, Huaming Wang, Ran Qin, Jionghui Gu. Comparison of two-dimensional shear wave elastography, magnetic resonance elastography, and three serum markers for diagnosing fibrosis in patients with chronic hepatitis B: a meta-analysis. Expert Review of Gastroenterology & Hepatology 2021; 15(9): 1077 doi: 10.1080/17474124.2021.1880894
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40 |
Hong Zhang, XinXing Shi, Lin Wang, Yilan Zeng, Xintong Kang, Liang Huang. Performance of noninvasive tools for identification of minimal liver fibrosis in patients with hepatitis B virus infection. Journal of Clinical Laboratory Analysis 2021; 35(9) doi: 10.1002/jcla.23960
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41 |
Tomoaki Bekki, Masahiro Ohira, Yuki Imaoka, Minoru Hattori, Ryosuke Nakano, Hiroshi Sakai, Shintaro Kuroda, Hiroyuki Tahara, Kentaro Ide, Tsuyoshi Kobayashi, Hideki Ohdan. The steatosis‐associated fibrosis estimator score is a useful indicator of recurrence and survival after initial curative hepatectomy for hepatocellular carcinoma. Annals of Gastroenterological Surgery 2024; doi: 10.1002/ags3.12846
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42 |
Xiao‐Qin Dong, Zhao Wu, Hong Zhao, Gui‐Qiang Wang. Evaluation and comparison of thirty noninvasive models for diagnosing liver fibrosis in chinese hepatitis B patients. Journal of Viral Hepatitis 2019; 26(2): 297 doi: 10.1111/jvh.13031
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43 |
Jian Wang, Rui Huang, Jiacheng Liu, Ruimin Lai, Yilin Liu, Chuanwu Zhu, Yuanwang Qiu, Zebao He, Shengxia Yin, Yuxin Chen, Xiaomin Yan, Weimao Ding, Qi Zheng, Jie Li, Chao Wu. A novel non‐invasive model for the prediction of advanced liver fibrosis in chronic hepatitis B patients with NAFLD. Journal of Viral Hepatitis 2023; 30(4): 287 doi: 10.1111/jvh.13808
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44 |
Ragesh B. Thandassery, Saad Al Kaabi, Madiha E. Soofi, Syed A. Mohiuddin, Anil K. John, Muneera Al Mohannadi, Khalid Al Ejji, Rafie Yakoob, Moutaz F. Derbala, Hamidullah Wani, Manik Sharma, Nazeeh Al Dweik, Mohammed T. Butt, Yasser M. Kamel, Khaleel Sultan, Fuad Pasic, Rajvir Singh. Mean Platelet Volume, Red Cell Distribution Width to Platelet Count Ratio, Globulin Platelet Index, and 16 Other Indirect Noninvasive Fibrosis Scores. Journal of Clinical Gastroenterology 2016; 50(6): 518 doi: 10.1097/MCG.0000000000000489
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45 |
Naiping Li, Jinghan Zhang, Sujuan Wang, Yongfang Jiang, Jing Ma, Ju Ma, Longjun Dong, Guozhong Gong. Machine Learning Assessment for Severity of Liver Fibrosis for Chronic HBV Based on Physical Layer With Serum Markers. IEEE Access 2019; 7: 124351 doi: 10.1109/ACCESS.2019.2923688
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