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. 2016 Oct 31;2016(10):CD010683. doi: 10.1002/14651858.CD010683.pub3
Cardiopulmonary interventions
#Blood_transfusion_red blood cell; treatment codes: 1 = Control; 2 = ANH; 3 = ANH_Hypotension; 4 = ANH_Lowcentral venous pressure; 5 = Lowcentral venous pressure.
list(nt=5,ns=6)
y[,1] se[,1] y[,2] se[,2] y[,3] se[,3] t[,1] t[,2] t[,3] na[] #study
1.6625 0.2 0.4175 0.16 0 0.01 1 2 3 3 #Yao 2006
0.8775 0.05 1.145 0.12 NA NA 1 4 NA 2 #Guo 2013
2.75 0.4 1.3 0.075 NA NA 1 5 NA 2 #El‐Kharboutly 2004
3.215 0.58 1.3125 0.12 NA NA 1 5 NA 2 #Wang 2006
0.44 0.37 0.7 0.35 NA NA 4 5 NA 2 #Jarnagin 2008
0 0.47 0 0.47 NA NA 4 5 NA 2 #Matot 2002
END
                     
#Blood_loss; treatment codes: 1 = Control; 2 = ANH; 3 = ANH_Hypotension; 4 = ANH_Lowcentral venous pressure; 5 = Hypoventilation; 6 = Lowcentral venous pressure.
list(nt=6,ns=9)
y[,1] se[,1] y[,2] se[,2] y[,3] se[,3] t[,1] t[,2] t[,3] na[] #study
0.651 0.01 0.654 0.05 0.404 0.06 1 2 3 3 #Yao 2006
0.711 0.02 0.735 0.02 NA NA 1 4 NA 2 #Guo 2013
0.63 0.41 0.63 0.4 NA NA 1 5 NA 2 #Hasegawa 2002
0.783 0.08 0.589 0.07 NA NA 1 6 NA 2 #Choi 2007
1.021 0.07 0.49 0.06 NA NA 1 6 NA 2 #El‐Kharboutly 2004
0.584 0.1 0.499 0.1 NA NA 1 6 NA 2 #Kato 2008
2.329 0.51 0.904 0.04 NA NA 1 6 NA 2 #Wang 2006
0.8 0.09 0.7 0.09 NA NA 4 6 NA 2 #Jarnagin 2008
0.75 0.41 0.89 0.41 NA NA 4 6 NA 2 #Matot 2002
END
                     
Methods of parenchymal transection
#Adverse_events_proportion; treatment codes: 1 = ClampCrush; 2 = cavitron ultrasonic surgical aspirator; 3 = Hydrojet; 4 = RFDS; 5 = SharpTransection; 6 = Stapler.
list(nt=6,ns=8)                  
r[,1] n[,1] r[,2] n[,2] r[,3] n[,3] t[,1] t[,2] t[,3] na[] #study
15 20 7 20 10 20 1 2 4 3 #Doklestic 2012
17 25 25 25 NA NA 1 2 NA 2 #Koo 2005
14 66 20 66 NA NA 1 2 NA 2 #Takayama 2001
7 40 9 40 NA NA 1 4 NA 2 #Arita 2005
17 50 18 50 NA NA 1 4 NA 2 #Muratore 2014
16 41 17 41 NA NA 1 5 NA 2 #Smyrniotis 2005
30 65 31 65 NA NA 1 6 NA 2 #Rahbari 2014
8 30 3 31 NA NA 2 3 NA 2 #Rau 2001
END
                     
#Adverse_events_number; treatment codes: 1 = ClampCrush; 2 = Cavitron ultrasonic surgical aspirator; 3 = Hydrojet; 4 = RFDS; 5 = SharpTransection; 6 = Stapler.
list(nt=6,ns=7)
r[,1] E[,1] r[,2] E[,2] r[,3] E[,3] t[,1] t[,2] t[,3] na[] #study
16 66 25 66 NA NA 1 2 NA 2 #Takayama 2001
7 40 9 40 NA NA 1 4 NA 2 #Arita 2005
11 60 15 60 NA NA 1 4 NA 2 #Ikeda 2009
2 26 12 24 NA NA 1 4 NA 2 #Lupo 2007
16 41 18 41 NA NA 1 5 NA 2 #Smyrniotis 2005
8 25 7 25 9 25 2 3 4 3 #Lesurtel 2005
19 50 22 50 NA NA 2 6 NA 2 #Savlid 2013
END
                     
#Blood_transfusion_proportion; treatment codes: 1 = ClampCrush; 2 = Cavitron ultrasonic surgical aspirator; 3 = Hydrojet; 4 = RFDS; 5 = SharpTransection.
list(nt=5,ns=8)
r[,1] n[,1] r[,2] n[,2] r[,3] n[,3] t[,1] t[,2] t[,3] na[] #study
2 20 3 20 4 20 1 2 4 3 #Doklestic 2012
1 66 1 66 NA NA 1 2 NA 2 #Takayama 2001
0 40 2 40 NA NA 1 4 NA 2 #Arita 2005
2 60 2 60 NA NA 1 4 NA 2 #Ikeda 2009
13 26 8 24 NA NA 1 4 NA 2 #Lupo 2007
13 50 16 50 NA NA 1 4 NA 2 #Muratore 2014
15 41 13 41 NA NA 1 5 NA 2 #Smyrniotis 2005
8 25 8 25 5 25 2 3 4 3 #Lesurtel 2005
END
                     
Methods of vascular occlusion
#Serious_adverse_events_proportion; treatment codes: 1 = Control; 2 = ConHVE; 3 = ConPTC; 4 = ConSelectiveHVE; 5 = ConSelectivePTC; 6 = IntPTC.
list(nt=6,ns=8)                  
r[,1] n[,1] r[,2] n[,2] r[,3] n[,3] t[,1] t[,2] t[,3] na[] #study
4 63 2 63 NA NA 1 6 NA 2 #Capussotti 2006
9 63 14 63 NA NA 1 6 NA 2 #Lee 2012
2 25 1 25 NA NA 1 6 NA 2 #Park 2012
3 60 2 58 NA NA 2 3 NA 2 #Chen 2006
2.5 81 0.5 81 NA NA 3 4 NA 2 #Si‐Yuan 2014
22 60 12 60 NA NA 3 5 NA 2 #Ni 2013
4 18 2 17 NA NA 3 6 NA 2 #Capussotti 2003
1 40 4 40 NA NA 5 6 NA 2 #Liang 2009
END
                     
#Adverse_events_proportion; treatment codes: 1 = Control; 2 = ConHVE; 3 = ConPTC; 4 = ConSelectiveHVE; 5 = ConSelectivePTC; 6 = IntPTC; 7 = IntSelectivePTC.
list(nt=7,ns=12)
r[,1] n[,1] r[,2] n[,2] r[,3] n[,3] t[,1] t[,2] t[,3] na[] #study
16 63 21 63 NA NA 1 6 NA 2 #Capussotti 2006
15 63 26 63 NA NA 1 6 NA 2 #Lee 2012
15 50 13 50 NA NA 1 6 NA 2 #Man 1997
9 20 5 20 NA NA 1 6 NA 2 #Man 2003
19 60 17 58 NA NA 2 3 NA 2 #Chen 2006
17 80 9 80 NA NA 3 4 NA 2 #Si‐Yuan 2014
24 60 13 60 NA NA 3 5 NA 2 #Ni 2013
13 42 11 44 NA NA 3 6 NA 2 #Belghiti 1999
4 18 2 17 NA NA 3 6 NA 2 #Capussotti 2003
9 40 8 40 NA NA 5 6 NA 2 #Liang 2009
15 39 12 41 NA NA 6 7 NA 2 #Figueras 2005
8 28 10 30 NA NA 6 7 NA 2 #Wu 2002
END
                     
#Blood_transfusion_proportion; treatment codes: 1 = Control; 2 = ConHVE; 3 = ConPTC; 4 = ConSelectiveHVE; 5 = ConSelectivePTC; 6 = IntPTC; 7 = IntSelectivePTC.
list(nt=7,ns=13)
r[,1] n[,1] r[,2] n[,2] r[,3] n[,3] t[,1] t[,2] t[,3] na[] #study
6 15 1 19 NA NA 1 3 NA 2 #Chouker 2004
1 63 8 63 NA NA 1 6 NA 2 #Capussotti 2006
9 63 14 63 NA NA 1 6 NA 2 #Lee 2012
29 50 18 50 NA NA 1 6 NA 2 #Man 1997
19 20 12 20 NA NA 1 6 NA 2 #Man 2003
8 60 27 58 NA NA 2 3 NA 2 #Chen 2006
22 80 13 80 NA NA 3 4 NA 2 #Si‐Yuan 2014
4 60 6 60 NA NA 3 5 NA 2 #Ni 2013
12 42 14 44 NA NA 3 6 NA 2 #Belghiti 1999
5 18 5 17 NA NA 3 6 NA 2 #Capussotti 2003
15 40 14 40 NA NA 5 6 NA 2 #Liang 2009
4 39 6 41 NA NA 6 7 NA 2 #Figueras 2005
12 28 5 30 NA NA 6 7 NA 2 #Wu 2002
END
                     
#Blood_transfusion_red blood cell; treatment codes: 1 = Control; 2 = ConHVE; 3 = ConPTC; 4 = ConSelectiveHVE; 5 = ConSelectivePTC; 6 = IntPTC; 7 = IntSelectivePTC.
list(nt=7,ns=10)
y[,1] se[,1] y[,2] se[,2] y[,3] se[,3] t[,1] t[,2] t[,3] na[] #study
1.9 1.02 1.3 0.85 NA NA 1 3 NA 2 #Clavien 1996
1.5 0.45 0 0.45 NA NA 1 6 NA 2 #Man 1997
2.5 0.64 2.9 0.8 NA NA 2 3 NA 2 #Belghiti 1996
2.2 0.42 1 0.42 NA NA 3 4 NA 2 #Si‐Yuan 2014
1.4 0.05 1.2 0.03 NA NA 3 5 NA 2 #Ni 2013
3 0.4 2.3 0.39 NA NA 3 6 NA 2 #Belghiti 1999
0.5 0.02 0.5 0.27 NA NA 3 6 NA 2 #Capussotti 2003
1.3675 0.09 1.4825 0.15 NA NA 5 6 NA 2 #Liang 2009
0.36 0.16 0.34 0.14 NA NA 6 7 NA 2 #Figueras 2005
2.5425 0.26 2.24 0.4 NA NA 6 7 NA 2 #Wu 2002
END
                     
#Blood_loss; treatment codes: 1 = Control; 2 = ConHVE; 3 = ConPTC; 4 = ConSelectiveHVE; 5 = ConSelectivePTC; 6 = IntPTC; 7 = IntSelectivePTC.
list(nt=7,ns=16)
y[,1] se[,1] y[,2] se[,2] y[,3] se[,3] t[,1] t[,2] t[,3] na[] #study
2.17 0.22 1.38 0.16 NA NA 1 3 NA 2 #Chouker 2004
0.32 0.05 0.328 0.02 NA NA 1 3 NA 2 #Dayangac 2010
0.671 0.32 0.65 0.16 NA NA 1 3 NA 2 #Pietsch 2010
0.204 0.02 0.184 0.03 NA NA 1 6 NA 2 #Capussotti 2006
0.489 0.06 0.488 0.07 NA NA 1 6 NA 2 #Lee 2012
1.99 0.18 1.28 0.18 NA NA 1 6 NA 2 #Man 1997
0.324 0.03 0.486 0.06 NA NA 1 6 NA 2 #Park 2012
1.195 0.21 0.989 0.26 NA NA 2 3 NA 2 #Belghiti 1996
0.42 0.03 0.77 0.04 NA NA 2 3 NA 2 #Chen 2006
0.777 0.09 0.529 0.09 NA NA 3 4 NA 2 #Si‐Yuan 2014
0.2 0.1 0.3 0.1 NA NA 3 5 NA 2 #Ni 2013
1.18 0.12 1.29 0.14 NA NA 3 6 NA 2 #Belghiti 1999
0.733 0.12 0.732 0.15 NA NA 3 6 NA 2 #Capussotti 2003
0.649 0.04 0.57 0.05 NA NA 5 6 NA 2 #Liang 2009
0.671 0.09 0.735 0.06 NA NA 6 7 NA 2 #Figueras 2005
1.685 0.17 1.159 0.22 NA NA 6 7 NA 2 #Wu 2002
END