Meta-analysis of risk factors for portal vein thrombosis in patients with cirrhosis

doi:10.3877/cma.j.issn.1674-3946.2023.06.025

Abstract

Abstract:

Objective

To investigate the risk factors of portal vein thrombosis (PVT) in liver cirrhosis.

Methods

A computer search was conducted on CNKI, Wanfang, Vipp, CBM, PubMed, Scopus, Web of Science and other databases to review and combine the articles on risk factors related to liver cirrhosis PVT. The search time was up to August 2023, and the Newcastle-Ottawa Scale (NOS) was used for quality evaluation. Stata 15.1 software was used for meta-analysis, and the results were considered statistically significant when P<0.05.

Results

A total of 17 case-control studies were included, including 2 749 cases, 838 cases in the thrombus group and 1 911 cases in the non-thrombus group. The results of meta-analysis suggested that D-dimer [SMD = 1.12, 95% CI (0.76-1.48)], the diameter of portal vein, [SMD = 0.72, 95% CI (0.47-0.96)], portal blood flow velocity [SMD = 1.03, 95%CI(-1.60--0.47)] and spleen thickness [SMD = 0.94, 95%CI (0.52 - 1.35)] were associated with cirrhosis complicated with PVT, and the results were statistically significant. However, platelet count, prothrombin time, activated partial prothrombin time, fibrinogen and total bilirubin levels were not associated with PVT in cirrhosis. The results of sensitivity analysis suggested that the results were stable, and the funnel plot suggested that there was some publication bias.

Conclusion

D-dimer, portal vein diameter, portal vein flow velocity and spleen thickness were risk factors for PVT in cirrhotic patients.

Key words: Liver Cirrhosis, Portal Vein Thrombosis, Risk Factors, Meta-Analysis

Xian Mo, Chuang Yang. Meta-analysis of risk factors for portal vein thrombosis in patients with cirrhosis[J]. Chinese Journal of Operative Procedures of General Surgery(Electronic Edition), 2023, 17(06): 678-683.

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Figures/Tables 13

References 30

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作者	发表年份	地区	年龄		病例数		NOS评分	结局指标
作者	发表年份	地区	血栓组	非血栓组	血栓组	非血栓组	NOS评分	结局指标
Abdel-Razik A et al^[10]	2015	埃及曼苏拉	59.5±10.7	60.4±11.2	17	78	9	①②③④⑤⑦⑧⑨
Chen H et al^[11]	2014	中国上海	65.0±13.3	64.4±14.2	40	122	9	①②③④⑤⑥⑦⑧⑨
Fang X et al^[12]	2018	中国安徽	61.8±10.3	60.1±11.9	50	95	8	①②③④⑤⑥⑦⑧
Li L et al^[13]	2017	中国上海	54.8±11.7	54.8±13.1	122	469	7	①②④⑤⑥
Li YP et al^[14]	2015	中国陕西	56.7±11.2	55.8±10.7	21	23	7	②③④⑤⑦⑧⑨
Lin GS et al^[15]	2016	中国新疆	58.1±11.4	54.7±11.8	65	70	8	①③④⑤⑥⑦⑨
Liu JZ et al^[16]	2016	中国安徽	58.4±12.6	56.9±12.1	99	100	8	①②③④⑥
Lv XJ et al^[17]	2018	中国河南	56.5±3.6	54.9±3.4	57	63	7	①②③⑤⑥⑦⑧⑨
Tian Y et al^[18]	2012	中国北京	57.7±11.0	55.9±11.9	37	100	6	①②③④⑤⑥
Xiong JP et al^[19]	2018	中国新疆	54.9±11.5	55.4±10.9	109	109	8	①②③④⑤⑥⑦⑨
Xiong XL et al^[20]	2022	中国湖北	56.5±9.5	55.7±8.8	17	70	7	①②⑤
Yang N et al^[21]	2009	中国北京	59.1±11.4	59.3±11.8	26	61	6	①②③④⑤
Yang QY et al^[22]	2017	中国广东	55.1±12.0	58.0±12.8	50	99	7	①②④⑤⑥
Zhang D et al^[23]	2010	中国北京	58.1±10.5	58.8±11.0	31	85	8	①②③④⑤
Zhang DL et al^[24]	2008	中国北京	56.7±10.0	57.2±11.3	23	67	7	①②③④⑤⑥
Zhang L et al^[25]	2014	中国上海	52.3±10.8	54.4±12.0	55	239	7	①②③④⑤⑥⑦⑧⑨
Zheng S et al^[26]	2009	中国云南	56.2±5.6	58.1±9.6	19	61	7	①②③④⑤⑥⑦⑨

作者	发表年份	地区	年龄		病例数		NOS评分	结局指标
作者	发表年份	地区	血栓组	非血栓组	血栓组	非血栓组	NOS评分	结局指标
Abdel-Razik A et al^[10]	2015	埃及曼苏拉	59.5±10.7	60.4±11.2	17	78	9	①②③④⑤⑦⑧⑨
Chen H et al^[11]	2014	中国上海	65.0±13.3	64.4±14.2	40	122	9	①②③④⑤⑥⑦⑧⑨
Fang X et al^[12]	2018	中国安徽	61.8±10.3	60.1±11.9	50	95	8	①②③④⑤⑥⑦⑧
Li L et al^[13]	2017	中国上海	54.8±11.7	54.8±13.1	122	469	7	①②④⑤⑥
Li YP et al^[14]	2015	中国陕西	56.7±11.2	55.8±10.7	21	23	7	②③④⑤⑦⑧⑨
Lin GS et al^[15]	2016	中国新疆	58.1±11.4	54.7±11.8	65	70	8	①③④⑤⑥⑦⑨
Liu JZ et al^[16]	2016	中国安徽	58.4±12.6	56.9±12.1	99	100	8	①②③④⑥
Lv XJ et al^[17]	2018	中国河南	56.5±3.6	54.9±3.4	57	63	7	①②③⑤⑥⑦⑧⑨
Tian Y et al^[18]	2012	中国北京	57.7±11.0	55.9±11.9	37	100	6	①②③④⑤⑥
Xiong JP et al^[19]	2018	中国新疆	54.9±11.5	55.4±10.9	109	109	8	①②③④⑤⑥⑦⑨
Xiong XL et al^[20]	2022	中国湖北	56.5±9.5	55.7±8.8	17	70	7	①②⑤
Yang N et al^[21]	2009	中国北京	59.1±11.4	59.3±11.8	26	61	6	①②③④⑤
Yang QY et al^[22]	2017	中国广东	55.1±12.0	58.0±12.8	50	99	7	①②④⑤⑥
Zhang D et al^[23]	2010	中国北京	58.1±10.5	58.8±11.0	31	85	8	①②③④⑤
Zhang DL et al^[24]	2008	中国北京	56.7±10.0	57.2±11.3	23	67	7	①②③④⑤⑥
Zhang L et al^[25]	2014	中国上海	52.3±10.8	54.4±12.0	55	239	7	①②③④⑤⑥⑦⑧⑨
Zheng S et al^[26]	2009	中国云南	56.2±5.6	58.1±9.6	19	61	7	①②③④⑤⑥⑦⑨

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