Predicting the risk by FIB-4 on hepatocellular carcinoma in patients with chronic liver disease: A meta-analysis

doi:10.3969/j.issn.1004-583X.2022.09.002

Abstract

Abstract:

Objective To systematically evaluate the value of fibrosis-4 (FIB-4) in predicting future hepatocellular carcinoma (HCC) in patients with chronic liver disease (CLD).Methods We searched PubMed, Web of Science, Wan-fang and CNKI databases for relevant literatures of FIB-4 predicting HCC risk in CLD patients, and selected eligible literatures according to the including and excluding criteria. Revman 5.3 software was used to perform statistical analyses.Results A total of 35 articles with 94, 569 CLD patients were included. Meta-analysis results showed that high baseline FIB-4 predicted high HCC risk in CLD patients (HR=1.57, 95%CI: 1.41-1.75, P<0.01). Post-treatment high FIB-4 (HR=2.40, 95%CI: 1.74-3.32, P<0.01) was associated with high risk of future HCC in patients with chronic hepatitis B or hepatitis C virus. Conclusion FIB-4 is useful in predicting future HCC in CLD patients.

Key words: FIB-4, carcinoma, hepatocellular, chronic liver disease, meta-analysis

CLC Number:

R730.261

He Chao, Huang Shaobin. Predicting the risk by FIB-4 on hepatocellular carcinoma in patients with chronic liver disease: A meta-analysis[J]. Clinical Focus, 2022, 37(9): 779-784.

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URL: https://huicui.hebmu.edu.cn/EN/10.3969/j.issn.1004-583X.2022.09.002

https://huicui.hebmu.edu.cn/EN/Y2022/V37/I9/779

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References 55

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第一作者,发表年	例数	慢性肝病分类	国家	截断值	NOS 评分
Alonso López, 2020^[12]	993	HCV	西班牙	-	8
Demir, 2016^[15]	373	HBV	德国	1.25	7
Jeong, 2021^[17]	857	HBV	韩国	-	8
Chu, 2017^[19]	101	HCV	日本	-	7
Degasperi, 2019^[20]	452	HCV	意大利	-	6
Fusco, 2016^[21]	4 492	HCV/HBV	意大利	3.25	7
Honda, 2016^[22]	109	HBV	日本	2.1	8
Huang, 2017^[23]	552	HCV	中国	3.25	8
Iio, 2019^[24]	1416	HCV	日本	2.67	8
Ioannou, 2019^[25]	48 135	HCV	美国	3.25	7
Ito, 2015^[26]	516	HCV	日本	4	8
Kim, 2016^[27]	542	HBV	韩国	2.225	7
Kim, 2018^[28]	924	酒精性肝硬化	韩国	3.25	8
Kim, 2021^[29]	237	NAFLD&HBV	韩国	1.77	9
Kobayashi, 2017^[30]	605	HCV	日本	3.25	8
Kuetting, 2019^[31]	350	HBV	德国	0.3635	7
Kumada, 2021^[32]	717	HCV	日本	1.5	8
Liang, 2021^[33]	15 187	HBV	中国	3.25	8
Lim, 2020^[34]	769	HBV	韩国	3.25	8
Liu, 2019^[35]	152	HBV&HCV	中国	-	8
Morimoto, 2019^[36]	518	HCV	日本	4	8
Na, 2019^[37]	295	HCV	韩国	3.25	8
Nishikawa, 2017^[38]	338	HBV	日本	3.666	8
Ogawa,2020^[39]	290	HCV	日本	3.25	8
Park, 2017^[40]	1 109	HBV	韩国	-	8
Patel, 2016^[41]	1 356	肝硬化	美国	无	6
Sato, 2016^[42]	355	HCV	日本	3.7	8
Song, 2018^[43]	1 014	HBV	韩国	1.45	7
Sou,2020^[44]	1 397	HBV	中国	-	8
Suh, 2015^[45]	986	HBV	韩国	2.4	7
Tada, 2017^[46]	539	HBV	日本	2.65	8
Tamaki, 2014^[47]	3 823	HCV	日本	3.25	7
Tseng, 2021^[48]	1 936	HBV	中国	1.3	8
Wang, 2020^[49]	1 325	HBV	中国	2.56	8
Watanabe, 2019^[50]	1 174	HCV	日本	-	8

第一作者,发表年	例数	慢性肝病分类	国家	截断值	NOS 评分
Alonso López, 2020^[12]	993	HCV	西班牙	-	8
Demir, 2016^[15]	373	HBV	德国	1.25	7
Jeong, 2021^[17]	857	HBV	韩国	-	8
Chu, 2017^[19]	101	HCV	日本	-	7
Degasperi, 2019^[20]	452	HCV	意大利	-	6
Fusco, 2016^[21]	4 492	HCV/HBV	意大利	3.25	7
Honda, 2016^[22]	109	HBV	日本	2.1	8
Huang, 2017^[23]	552	HCV	中国	3.25	8
Iio, 2019^[24]	1416	HCV	日本	2.67	8
Ioannou, 2019^[25]	48 135	HCV	美国	3.25	7
Ito, 2015^[26]	516	HCV	日本	4	8
Kim, 2016^[27]	542	HBV	韩国	2.225	7
Kim, 2018^[28]	924	酒精性肝硬化	韩国	3.25	8
Kim, 2021^[29]	237	NAFLD&HBV	韩国	1.77	9
Kobayashi, 2017^[30]	605	HCV	日本	3.25	8
Kuetting, 2019^[31]	350	HBV	德国	0.3635	7
Kumada, 2021^[32]	717	HCV	日本	1.5	8
Liang, 2021^[33]	15 187	HBV	中国	3.25	8
Lim, 2020^[34]	769	HBV	韩国	3.25	8
Liu, 2019^[35]	152	HBV&HCV	中国	-	8
Morimoto, 2019^[36]	518	HCV	日本	4	8
Na, 2019^[37]	295	HCV	韩国	3.25	8
Nishikawa, 2017^[38]	338	HBV	日本	3.666	8
Ogawa,2020^[39]	290	HCV	日本	3.25	8
Park, 2017^[40]	1 109	HBV	韩国	-	8
Patel, 2016^[41]	1 356	肝硬化	美国	无	6
Sato, 2016^[42]	355	HCV	日本	3.7	8
Song, 2018^[43]	1 014	HBV	韩国	1.45	7
Sou,2020^[44]	1 397	HBV	中国	-	8
Suh, 2015^[45]	986	HBV	韩国	2.4	7
Tada, 2017^[46]	539	HBV	日本	2.65	8
Tamaki, 2014^[47]	3 823	HCV	日本	3.25	7
Tseng, 2021^[48]	1 936	HBV	中国	1.3	8
Wang, 2020^[49]	1 325	HBV	中国	2.56	8
Watanabe, 2019^[50]	1 174	HCV	日本	-	8