Meta-Analysis
Copyright ©The Author(s) 2015.
World J Meta-Anal. Dec 26, 2015; 3(6): 295-303
Published online Dec 26, 2015. doi: 10.13105/wjma.v3.i6.295
Table 1 Characteristics of the included studies in this meta-analysis by treatment arms
Ref.ArmsNo. of patientsMale genderAge (yr)Child–Pugh Class (A/B/C)Tumor size, cmNo. of tumors (1 vs ≥ 2)Follow-up (mo)OS rate (%)
RFS rate, %
1-yr3-yr5-yr1-yr3-yr5-yr
Zhang et al[9]RFA + TACE151257.8 ± 11.0--4.6 ± 1.3--24100NANA92.3NANA
(39-72)(2.3-7.1)
RFA151358.3 ± 12.7--4.2 ± 1.1--2480NANA--NANA
(38-78)(2.4-6.0)
Shen et al[10]IRFAPA18552.74/14/05.60/1828.387.552.2NA63.950.0NA
(20-72)(2.2-15.8)(6-38)
RFA16356.16/10/05.03/1319.373.320.4NA30.018.7NA
(36-75)(2.3-12.3)(5-36)
Kang et al[11]RRA + TACE191452.212/7/06.7 ± 1.1--3684.236.8NA----NA
RFA181450.712/6/06.2 ± 1.2--3661.116.7NA----NA
Kobayashi et al[12]RFA + AO107674/5/11.7--48----NA87.525NA
(50-76)(1.0-2.4)
RFA108633/5/22.3--48----NA70.020NA
(51-75)(1.0-2.6)
Yang et al[13]RFA + TACE312360.3 ± 10.9--6.5 ± 0.8----81.2------82.2--
RFA12861.0 ± 10.4--5.2 ± 0.4----57.6------65.3--
Shibata et al[14]RFA + TACE463167.2 ± 8.932/14/01.7 ± 0.643/36010084.8--71.348.8--
(45-83)(0.9-3.0)
RFA433369.8 ± 8.033/10/01.6 ± 0.542/16010084.5--74.329.7--
(44-87)(0.8-2.6)
Morimoto et al[15]RFA + TACE19157018/1/03.7 ± 0.6--30 (12-46)10093NA67--9
(57-78)
RFA18127316/2/03.6 ± 0.7--32 (15-46)8980NA56--28
(48-84)
Peng et al[8]RFA + TACE695957.5 ± 10.060/9/02.1 ± 0.565/439.2946946804540
(19-75)(0.8-5.0)(5.0-95.0)
RFA705555.1 ± 9.559/11/02.1 ± 0.465/533.6824736641818
(22-75)(0.9-5.0)(2.0-87.0)
Peng et al[7]RFA + TACE947553.3 ± 11.090/4/03.5 ± 1.462/326092.666.6--79.466.7--
RFA957155.3 ± 13.390/5/03.4 ± 1.467/286085.359.0--60.644.2--
Table 2 Stratified analysis of the pooled associations for overall survival and radiofrequency ablation rates comparing transarterial chemoembolization/radiofrequency ablation with radiofrequency ablation alone
OutcomePotential modifiersNo. of studiesNo. of events/patients
Heterogeneity testRR (95%CI)
RFA + TACERFA
1-yr OS rateTumor size, cm< 3165/6959/70NA1.12 (0.99, 1.26)
3–53121/128109/128I2 = 0.0%, P = 0.661.11 (1.02, 1.21)1
> 5357/6830/46I2 = 0.0%, P = 0.801.28 (1.02, 1.61)1
Study locationChina5208/227171/208I2 = 0.0%, P = 0.771.12 (1.04, 1.20)1
Japan235/3827/36I2 = 11.2%, P = 0.291.17 (0.96, 1.43)
3-yr OS rateTumor size, cm< 3287/11569/113I2 = 83.2%, P = 0.021.21 (0.79, 1.83)
3–5281/11370/113I2 = 0.0%, P = 0.681.17 (0.99, 1.39)1
> 5218/379/34I2 = 0.0%, P = 0.661.77 (0.95, 3.31)
Study locationChina3122/18195/181I2 = 18.7%, P = 0.291.29 (1.05, 1.58)1
Japan364/8453/79I2 = 33.4%, P = 0.221.12 (0.90, 1.39)
1-yrTumor size, cm< 33102/12588/123I2 = 10.7%, P = 0.331.11 (0.96, 1.28)
RFS rate3–5288/11368/113I2 = 0.0%, P = 0.831.30 (1.09, 1.55)1
> 5111/185/16NA1.96 (0.87, 4.42)
Study locationChina3141/181108/181I2 = 0.0%, P = 0.551.29 (1.12, 1.49)1
Japan360/7553/71I2 = 0.0%, P = 0.701.04 (0.89, 1.23)
3-yearTumor size, cm< 3367/12847/123I2 = 84.3%, P < 0.011.45 (0.59, 3.54)
RFS rate3–5163/9442/95NA1.52 (1.16, 1.98)1
> 5234/4911/28I2 = 51.0%, P = 0.151.56 (0.70, 3.47)
Study locationChina4128/21266/193I2 = 41.2%, P = 0.161.63 (1.19, 2.24)1
Japan236/5934/53I2 = 0.0%, P = 0.520.90 (0.71, 1.19)