Meta-Analysis
Copyright ©The Author(s) 2023.
World J Diabetes. Mar 15, 2023; 14(3): 313-342
Published online Mar 15, 2023. doi: 10.4239/wjd.v14.i3.313
Table 1 Characteristics of the studies included in this network meta-analysis
Study
Year
Country
Sample size
Gender(M/F)
Mean age (yr)
Course of disease(yr)
Intervention
Treatment time (mo)Outcome
EG
CG
EG
CG
EG
CG
EG
CG
1Zhu and Mei[46]2022China616168/5463.0862.764.62 ± 1.084.35 ± 1.21BXXD + WMWM1ab
2Zhang and Huo [47]2021China636272/5361.2560.250.3-70.5-6BXXD + WMWM1bcd
3Tan[48]2021China363637/3558.0655.72--BXXDWM3abcde
4Zhang and Yang[49]2020China424247/3756.1857.213.01 ± 1.252.94 ± 1.37BXXDWM1a
5Li et al[50]2020China313132/3055.457.711.7 ± 1.610.9 ± 3.9BXXD + WMWM3abf
6Gao[51]2020China404042/3857.0456.964.65 ± 1.384.39 ± 1.64BXXD + WMWM1af
7Wang[52]2019China404047/3358.559.9--BXXDWM1acf
8Fan[53]2019China848496/7261.358.72.7 ± 0.62.9 ± 0.8BXXDWM1a
9Zhou et al[54]2018China353541/2945.9945.923.68 ± 0.433.54 ± 0.36BXXDWM1abde
10Wang et al[55]2018China464441/4945.2145.112.67 ± 0.772.62 ± 0.75BXXD + WMWM1abi
11Liu[56]2018China252521/2951.551.48.2 ± 1.48.1 ± 1.5BXXD + WMWM1af
12Han et al[57]2018China292931/2752.752.103.26 ± 1.833.04 ± 1.50BXXD + WMWM1a
13Wang[58]2016China444353/3448.147.6--BXXD + WMWM1afi
14Zhao and Zhang[59]2014China303030/3051.4948.63-140.3-14BXXD + WMWM1ade
15Lu and Xu[60]2014China303132/2954.1653.79--BXXDWM0.5cg
16Zhang and Fu[61]2013China383839/3758.459.72.6 ± 1.82.8 ± 1.7BXXDWM1ag
17Li[62]2013China222023/1954.256.91.13 ± 0.510.16-1.6BXXDWM1afi
18Wang[63]2011China302633/2354.553.86.3 ± 2.56.8 ± 3.6BXXDWM1ab
19Zou and Pan[64]2009China242427/215455.172.78 ± 2.183.12 ± 2.13BXXDWM1a
20Zhou[65]2005China434339/4753.0151.1310.10 ± 3.2210.21 ± 2.71BXXDWM1a
21Liang[66]2022China303034/2656.2357.339.12 ± 3.118.29 ± 2.69XSLJZD + WMWM1abc
22Zhang et al[67]2021China646447/8151.8450.57(8.93 ± 1.05) mo(9.14 ± 1.24) moXSLJZD + WMSBS + WM1bcdeg
23Chen[68]2018China404046/3467.9468.1--XSLJZDWM1.5a
24Guo et al[69]2017China242430/1854.3656.85(16.4 ± 0.6) d(16.9 ± 0.7) dXSLJZDWM2af
25Yu et al[70]2016China353538/2257.8656.4--XSLJZD + WMWM1ab
26Chen et al[71]2016China787861/9550.3152.411.29 ± 0.471.31 ± 0.22XSLJZDWM1afi
27Fu et al[72]2014China404044/3670.269.94.3 ± 1.34.6 ± 1.5XSLJZD + WMWM1ace
28Wen[73]2012China444348/3955.654(14.8 ± 5.2) d(15.3 ± 5.3) dXSLJZDWM2ai
29Cai[74]2011China272729/2560.2359.35--XSLJZD + WMWM1abi
30Hou et al[75]2010China565687/2549.0-84.048.5-83.50.66-2.420.58-2.25XSLJZDWM2abf
31Lu[76]2009China484652/4253.352.8--XSLJZDWM1ab
32Chu et al[77]2017China505046/5465.766(15 ± 4) mo(16 ± 6) moSMD + WMWM1.5abcdei
33Wang[78]2014China707078/6271.471.415.215.2SMDWM1a
34Wang[79]2011China222227/1746.146.15.3 ± 2.05.3 ± 2.0SMDWM1.25aci
35Sun et al[80]2007China5150-56.755.66.1 ± 4.16.4 ± 3.6SMDWM1ai
36Sun and Gao[81]2007China212020/2148.349.4--SMDWM1ai
37Qiu and Liu[82]2005China403847/3157.358--SMDWM1abi
38Liu and Cai[83]2017China323439/2844.55 42.67(15.61 ± 6.66) mo(16.02 ± 7.12) moZSXPD + WMWM1af
39Qiu et al[84]2016China787880/7662.2162.2115.37 ± 7.2515.37 ± 7.25ZSXPDWM1adg
40Lu[85]2012China595965/5356.4254.636.81 ± 2.575.97 ± 2.75ZSXPDWM1acde
41Zhao et al[86]2010China333028/3563.261.916.30 ± 7.5218.10 ± 7.9ZSXPDWM1abcdeg
42Yang and Li[87]2010China303039/2156.7356.767.57 ± 2.487.85 ± 2.74ZSXPDWM1aig
43Li[88]2021China202022/1856.4256.346.35 ± 1.296.23 ± 1.34CSLJD + WMWM1acfi
44Wang and Hou[89]2019China313134/2853.353.6(4-16) mo(6-18) moCSLJDWM1acf
45Jiao[90]2019China575759/5557.5256.97(10.43 ± 2.15) mo(10.37 ± 2.18) moCSLJD + WMWM0.75cf
46Jin[91]2016China505041/5953.254.2(4-16) mo(5-17) moCSLJDWM0.75acfi
47Zou[92]2009China403835/4361.1560.89(10.17 ± 4.53) mo(9.97 ± 4.21) moCSLJDWM1acfi
48Lil[93]2022China303037/2351.1652.088.45 ± 2.168.13 ± 2.72CQWDWM1abcefi
49Liu[94]2021China494951/4753.4252.835.16 ± 1.195.12 ± 1.25CQWDWM1abf
50Hu[95]2021China505056/4462.963.66.3 ± 1.36.5 ± 1.4CQWDWM1abcdg
51Xu et al[96]2020China696975/6351.2451.240.83 ± 0.120.84 ± 0.13CQWDWM1abcefi
52Yao et al[97]2019China4544-51.852.25.26 ± 0.754.81 ± 0.35CQWDWM1abg
53Tian[98]2017China484863/3352.553.2--JPXZDWM1abcef
54Li[99]2017China474735/5956.251.28.27 ± 1.489.17 ± 2.74JPXZDWM1abcef
55An and Wang[100]2016China565659/5350.452.1JPXZDWM1acef
56Lan and Yao[101]2015China474953/4351.6 52.3--JPXZDWM1abcef
Table 2 Odds ratio/weight mean difference (95% credible interval) results of the network meta-analysis
Clinical effectsBXXDBXXD_WMCQWDCSLJDCSLJD_WMJPXZDSMD
BXXD1
BXXD_WM0.72 (0.36, 1.4)1
CQWD0.93 (0.48, 1.76)1.29 (0.61, 2.74)1
CSLJD0.83 (0.36, 1.83)1.16 (0.47, 2.77)0.9 (0.37, 2.11)1
CSLJD_WM2.21 (0.44, 10.19)3.07 (0.58, 14.99)2.38 (0.46, 11.51)2.65 (0.48, 13.86)1
JPXZD0.87 (0.38, 1.89)1.21 (0.5, 2.91)0.94 (0.39, 2.18)1.05 (0.39, 2.81)0.39 (0.08, 2.17)1
SMD1.14 (0.57, 2.24)1.58 (0.73, 3.46)1.23 (0.57, 2.61)1.37 (0.56, 3.42)0.52 (0.11, 2.73)1.3 (0.54, 3.23)1
SMD_WM0.72 (0.14, 2.73)1 (0.19, 3.99)0.77 (0.15, 3.07)0.86 (0.15, 3.77)0.32 (0.04, 2.5)0.82 (0.15, 3.57)0.63 (0.12, 2.56)
WM3.93 (2.66, 5.91)5.44 (3.25, 9.61)4.23 (2.57, 7.18)4.71 (2.4, 9.83)1.79 (0.4, 8.59)4.49 (2.33, 9.28)3.44 (2, 6.13)
XSLJZD1.57 (0.84, 2.9)2.17 (1.07, 4.5)1.68 (0.84, 3.41)1.88 (0.82, 4.46)0.71 (0.15, 3.64)1.79 (0.79, 4.22)1.37 (0.66, 2.87)
XSLJZD_WM0.93 (0.44, 1.92)1.3 (0.57, 2.94)1.01 (0.45, 2.21)1.12 (0.44, 2.88)0.42 (0.08, 2.27)1.07 (0.43, 2.72)0.82 (0.36, 1.86)
ZSXPD0.87 (0.4, 1.83)1.2 (0.52, 2.79)0.94 (0.4, 2.11)1.04 (0.4, 2.71)0.39 (0.08, 2.13)1 (0.39, 2.58)0.76 (0.32, 1.78)
Nausea and vomiting scoresBXXDBXXD_WMCQWDJPXZDSMDSMD_WMWM
BXXD0
BXXD_WM0.65 (0.17, 2.5)0
CQWD0.79 (0.23, 2.77)1.22 (0.42, 3.65)0
JPXZD0.61 (0.14, 2.69)0.95 (0.25, 3.63)0.78 (0.23, 2.62)0
SMD0.41 (0.07, 2.43)0.63 (0.12, 3.44)0.52 (0.1, 2.52)0.66 (0.11, 3.94)0
SMD_WM2.93 (0.46, 18.72)4.52 (0.78, 26.05)3.71 (0.69, 19.4)4.79 (0.75, 30.37)7.18 (0.87, 60.2)0
WM0.4 (0.14, 1.14)0.61 (0.26, 1.45)0.5 (0.26, 0.97)0.65 (0.23, 1.82)0.97 (0.23, 4.19)0.14 (0.03, 0.63)0
XSLJZD0.47 (0.08, 2.84)0.72 (0.13, 3.97)0.59 (0.12, 2.92)0.77 (0.13, 4.62)1.15 (0.15, 9.16)0.16 (0.02, 1.35)1.18 (0.28, 5.13)
Anorexia scoresBXXD_WMCQWDSMDSMD_WMWMXSLJZDXSLJZD_WM
BXXD_WM0
CQWD0.37 (0.07, 1.66)0
SMD0.19 (0.02, 1.62)0.52 (0.06, 4.56)0
SMD_WM2.08 (0.22, 18.36)5.67 (0.62, 50.9)10.86 (0.76, 158.85)0
WM0.19 (0.06, 0.55)0.52 (0.17, 1.53)0.99 (0.15, 6.46)0.09 (0.01, 0.62)0
XSLJZD0.25 (0.03, 2.07)0.67 (0.08, 5.77)1.29 (0.09, 18.09)0.12 (0.01, 1.69)1.3 (0.2, 8.38)0
XSLJZD_WM1.27 (0.13, 11.66)3.47 (0.36, 32.67)6.63 (0.43, 99.8)0.61 (0.04, 9.45)6.69 (0.93, 48.32)5.14 (0.34, 77.76)0
Early satiety scoresBXXDBXXD_WMCQWDJPXZDSMDSMD_WMWM
BXXD0
BXXD_WM2.95 (0.77, 13.01)0
CQWD1.88 (0.43, 8.37)0.64 (0.19, 1.89)0
JPXZD0.74 (0.18, 2.99)0.25 (0.09, 0.65)0.39 (0.13, 1.22)0
SMD0.5 (0.09, 2.79)0.17 (0.04, 0.68)0.27 (0.06, 1.23)0.68 (0.17, 2.78)0
SMD_WM2.67 (0.46, 15.44)0.9 (0.19, 3.71)1.42 (0.3, 6.7)3.61 (0.84, 15.32)5.32 (0.9, 31.54)0
WM0.49 (0.15, 1.62)0.16 (0.07, 0.32)0.26 (0.11, 0.63)0.66 (0.33, 1.33)0.97 (0.28, 3.36)0.18 (0.05, 0.65)0
Bloating scoresBXXDBXXD_WMCQWDJPXZDSMDSMD_WMWM
BXXD0
BXXD_WM1.1 (0.58, 2.21)0
CQWD0.93 (0.49, 1.79)0.85 (0.49, 1.42)0
JPXZD0.65 (0.33, 1.29)0.59 (0.32, 1.03)0.7 (0.4, 1.2)0
SMD0.45 (0.17, 1.16)0.41 (0.17, 0.96)0.48 (0.2, 1.12)0.69 (0.29, 1.68)0
SMD_WM2.66 (1, 7.13)2.42 (0.95, 5.89)2.86 (1.16, 6.92)4.11 (1.63, 10.31)5.92 (1.91, 18.3)0
WM0.44 (0.26, 0.76)0.4 (0.26, 0.58)0.47 (0.33, 0.66)0.68 (0.44, 1.04)0.98 (0.45, 2.13)0.17 (0.07, 0.38)0
XSLJZD0.56 (0.26, 1.18)0.5 (0.25, 0.95)0.6 (0.31, 1.11)0.86 (0.43, 1.69)1.23 (0.48, 3.16)0.21 (0.08, 0.55)1.26 (0.74, 2.13)
MOTBXXDBXXD_WMCQWDCSLJDCSLJD_WMJPXZDSMD
BXXD0
BXXD_WM73145227955313819658 (16.53, 2.030196546848e + 38)0
CQWD35423305.81 (0, 5.93544195488604e + 21)0 (0, 1661.84)0
CSLJD1.49786530431541e + 62 (3.50996919314233e + 43, 5.47316977723933e + 80)2.12100175311827e + 42 (7.96830853291658e + 22, 6.07610382119557e + 61)4.41194389881838e + 54 (1.64238728480315e + 39, 1.56982913306051e + 70)0
CSLJD_WM2.02292315583141e + 56 (2.13482601427363e + 38, 3.74341135713198e + 73)3.39246479689985e + 36 (332081441777967616, 3.74853474640655e + 54)6.5996363207526e + 48 (1.22057356959688e + 34, 6.1480125702437e + 62)0 (0, 2732647433755.58)0
JPXZD1.46545014434071e + 35 (1.63502079852166e + 21, 1.17286388222191e + 49)2074599066114823 (1.29, 3.17467766771584e + 30)3.84186585617681e + 27 (1237249559868129024, 2.96562509673173e + 37)0 (0, 0)0 (0, 0)0
SMD4.20171429734073e + 26 (25898.14, 8.26692473710835e + 48)6849152.53 (0, 9.10517874469878e + 29)11853726740880627712 (0.26, 1.11780444531916e + 39)0 (0, 0)0 (0, 0)0 (0, 116505229632.1)0
SMD_WM2.28758076383624e + 34 (3326609644123.49, 7.88309912633195e + 55)281406176126933 (0, 7.9670020400884e + 36)5.89642990959044e + 26 (39869414.39, 9.32616031295542e + 45)0 (0, 0)0 (0, 1.24)0.14 (0, 954822479322721408)39739999.76 (0, 2.14570758341921e + 33)
WM0 (0, 0)0 (0, 0)0 (0, 0)0 (0, 0)0 (0, 0)0 (0, 0)0 (0, 0)
XSLJZD_WM14666.56 (0, 16247355947961442304)0 (0, 8.34)0 (0, 158351284.3)0 (0, 0)0 (0, 0)0 (0, 0)0 (0, 0.01)
ZSXPD0 (0, 0)0 (0, 0)0 (0, 0)0 (0, 0)0 (0, 0)0 (0, 0)0 (0, 0)
SSBXXDBXXD_WMCQWDSMD_WMWMXSLJZD_WMZSXPD
BXXD0
BXXD_WM0.01 (0, 36713863287.61)0
CQWD240.28 (0, 462592820033121344)18640.19 (0, 4.5779943358534e + 19)0
SMD_WM0.11 (0, 224930986970319)8.59 (0, 17667828742718418)0 (0, 248861236102597)0
WM53749.9 (0, 32864187823875.5)4200830.54 (0.01, 3136485942463265)224.17 (0, 839932932110503)493063.5 (0, 1651805622636769024)0
XSLJZD_WM50.96 (0, 102248837325752448)3884.92 (0, 10556005822499647488)0.2 (0, 117147511992865184)472.76 (0, 2.04812782178715e + 20)0 (0, 3009685068.16)0
ZSXPD0 (0, 0.04)0 (0, 3.92)0 (0, 0.14)0 (0, 224.03)0 (0, 0)0 (0, 0.5)0
GASBXXDBXXD_WMCQWDJPXZDSMD_WMWMXSLJZD_WM
BXXD0
BXXD_WM28048.32 (0, 24195406220047416)0
CQWD0 (0, 69857.01)0 (0, 1321.29)0
JPXZD22986750.89 (0.07, 3480782610051639)822.3 (0, 114613769790857)582462249573.32 (4165.62, 86824668158199087104)0
SMD_WM772.69 (0, 202805460193874)0.03 (0, 1605419615413.43)19391679.88 (0, 6739519315925827584)0 (0, 1354996.37)0
WM0 (0, 0)0 (0, 0)0 (0, 7.5)0 (0, 0)0 (0, 0)0
XSLJZD_WM14792825.45 (0, 3.68830686229498e + 20)543.92 (0, 1313792551296612864)397907647799.45 (0.02, 1.01862834805861e + 25)0.66 (0, 3321105849542.14)20391.36 (0, 22295919254655209472)205575165013649344 (528058.51, 1.00959763024414e + 29)0
ZSXPD0 (0, 532.37)0 (0, 7.77)0 (0, 14795237.56)0 (0, 0)0 (0, 116.31)2297.17 (0, 22820407856.58)0 (0, 0.32)
Gastric emptying timeBXXDBXXD_WMCQWDCSLJDCSLJD_WMJPXZDSMD_WM
BXXD0
BXXD_WM3.31 (1.45, 7.77)0
CQWD5.57 (2.29, 13.92)1.68 (0.79, 3.6)0
CSLJD12.15 (4.95, 29.89)3.66 (1.69, 7.79)2.18 (0.94, 4.96)0
CSLJD_WM12.34 (4.61, 33.56)3.73 (1.56, 8.86)2.21 (0.87, 5.6)1.02 (0.4, 2.59)0
JPXZD0.9 (0.39, 2.11)0.27 (0.14, 0.54)0.16 (0.08, 0.34)0.07 (0.03, 0.16)0.07 (0.03, 0.17)0
SMD_WM0.99 (0.31, 3.2)0.3 (0.1, 0.86)0.18 (0.06, 0.54)0.08 (0.03, 0.25)0.08 (0.02, 0.26)1.11 (0.38, 3.17)0
WM0.78 (0.4, 1.56)0.24 (0.14, 0.38)0.14 (0.08, 0.25)0.06 (0.04, 0.12)0.06 (0.03, 0.13)0.87 (0.53, 1.41)0.79 (0.31, 2.02)
XSLJZD1.52 (0.62, 3.89)0.46 (0.21, 1.01)0.27 (0.12, 0.64)0.13 (0.05, 0.3)0.12 (0.05, 0.32)1.69 (0.78, 3.74)1.53 (0.5, 4.78)
Emptying rateBXXDCQWDSMD_WMWMXSLJZD_WM
BXXD0
CQWD69.8 (0.15, 32653.33)0
SMD_WM0.25 (0, 358.08)0 (0, 3.64)0
WM845.68 (7.55, 83742.05)11.9 (0.2, 662.69)3299.5 (11.8, 939381.79)0
XSLJZD_WM0.04 (0, 69.4)0 (0, 0.68)0.14 (0, 547.9)0 (0, 0.02)0
Adverse drug eventBXXDBXXD_WMCQWDCSLJDCSLJD_WMSMDSMD_WM
BXXD1
BXXD_WM52414822144496.4 (5.15, 4.030355125387e + 40)1
CQWD523486623214299 (44.52, 4.99143462215951e + 41)9.46 (0.22, 820)1
CSLJD2.1013167745814e + 21 (68867.54, 6.94805069595938e + 49)5570723.63 (10.18, 65917394402402795520)546167.92 (0.79, 6291215618954215424)1
CSLJD_WM903925158662983 (64.85, 7.24389664845627e + 41)16.04 (0.14, 2989.89)1.66 (0.01, 331.36)0 (0, 3.21)1
SMD87868125051078.8 (8.79, 6.46520330928223e + 40)1.58 (0.07, 46.22)0.17 (0, 5.2)0 (0, 0.14)0.1 (0, 9.11)1
SMD_WM92995980732601.7 (6.45, 7.01779753944577e + 40)1.68 (0.02, 180.95)0.18 (0, 19.11)0 (0, 0.26)0.1 (0, 26.32)1.05 (0.01, 72.95)1
WM54754719159198.7 (6.18, 4.32688099919118e + 40)1.01 (0.07, 14.35)0.11 (0, 1.76)0 (0, 0.07)0.06 (0, 3.34)0.64 (0.08, 4.09)0.6 (0.01, 27.12)
XSLJZD138602669761684 (13.39, 1.24283951732813e + 41)2.63 (0.06, 124.69)0.28 (0, 13.6)0 (0, 0.28)0.17 (0, 20.87)1.65 (0.06, 46.29)1.56 (0.01, 176)
XSLJZD_WM2.292622716453e + 27 (1041432.11, 2.95058492834921e + 63)681629044495.03 (13.68, 1.1410582712159e + 37)63891194824.14 (1.24, 1.1687385549262e + 36)69412.73 (0, 1.68323760596052e + 30)40072042129.9 (0.6, 8.14243889280231e + 35)419783352848.06 (9.15, 6.85444195823832e + 36)419971257349.63 (6.35, 7.28909075697952e + 36)
ZSXPD1.33392510385293e + 29 (3556788.54, 2.79172392054822e + 64)25171485790455 (76.21, 3.26348786128855e + 38)2361108310720.74 (6.5, 3.27810997427274e + 37)1039292.85 (0, 8.27654798676685e + 30)1488785454440.43 (3.09, 2.01068712178454e + 37)15678668377271.4 (48.99, 1.96838317351027e + 38)14704293429199.2 (32.62, 2.04193370876875e + 38)
Table 3 Results of the surface under the cumulative ranking curve (%)

WM
BXXD
BXXD + WM
XSLJZD
XSLJZD + WM
SMD
SMD + WM
ZSXPD
ZSXPD + WM
CSLJD
CSLJD + WM
CQWD
JPXZD
Clinical effects2.0351.3475.4922.3256.7742.168.161.9265.1264.5621.5357.3561.36
Nausea and vomiting scores15.7266.5144.9330.5575.5224.7193.7----56.3542.02
Anorexia scores16.26-73.5529.3777.3421.1788.74----43.56-
Early satiety scores10.246.1289.88-48.4116.7383.62----72.6732.36
Bloating scores9.8871.1378.5628.7638.1317.1498.98----67.340.12
MOT9.7224.3652.91-30.2161.4271.20.33-97.2692.2737.0573.27
SS12.6349.8363.51-37.57-55.697.79---33.06-
GAS2.9949.0670.43-81.19-62.9818.51---28.6786.17
Gastric emptying time11.828.0366.8747.69--27.55-30.2293.8994.0877.6122.26
Emptying rate1.8247.77--72.7358.1898.35---21.14-
Adverse drug events25.410.4827.8541.8590.7434.6435.6592.72-84.3959.2457.04-