| Literature DB >> 33042224 |
Xue Zhang1, Xiao-Fei Zhang1, Lin Wang1, Dong-Yan Guo1, Jia-Min Zhang1, Yong-Gang Chen1, Zhi-Chao Wang1, Li-Shan Pei1, Jiang-Xue Chen1, Ya-Jun Shi1, Jun-Bo Zou1.
Abstract
BACKGROUND: We provide an updated meta-analysis with detailed information on a combination of TCM and routine treatment.Entities:
Mesh:
Substances:
Year: 2020 PMID: 33042224 PMCID: PMC7528130 DOI: 10.1155/2020/7172052
Source DB: PubMed Journal: Cardiovasc Ther ISSN: 1755-5914 Impact factor: 3.023
Figure 1Workflow of the present study.
Figure 2Process of study extracted for the meta-analysis.
Characteristics of included studies.
| Author, year | Cases T/C | Diagnostic standard | Age (years) range, mean | Sex male/female | |||
|---|---|---|---|---|---|---|---|
| TCMs | Wang Yuxiu, 2017 | 41/41 | DCIS | T: 52-73, 59.8 | C: 53-73, 59.9 | T: 28/13 | C: 29/12 |
| Zhao Xiaoli, 2017 | 44/43 | NE | T: 43-59, 49.77 | C: 42-58, 49.71 | T: 27/17 | C: 27/17 | |
| Chen Si, 2016 | 29/29 | MPDCD | T: 53-78, 61.15 | C: 52-77, 62.18 | T: 20/9 | C: 18/11 | |
| Li Shefang, 2016 | 40/40 | CDECEA | T, 46-73, 65.9 | C: 48-76, 66.3 | T: 23/17 | C: 22/18 | |
| Zhang Kefei, 2018 | 58/58 | MPDCD | T: 40-73, 58.93 | C: 41-75, 59.37 | T: 35/23 | C: 34/24 | |
| Zhao Jing, 2016 | 75/75 | NR | T: 42-75, 60.6 | C: 43-76, 58.8 | T: 51/24 | C: 48/27 | |
| Yang Zhenwei, 2017 | 33/32 | ATCICE | NR | NR | NR | NR | |
| Liu Yupeng, 2016 | 50/50 | CEDEA & GPTCDCSTCM | T: 58-70, 61.19 | C: 58-70, 61.19 | T: 27/23 | C: 26/24 | |
| Cao Ying, 2014 | 198/66 | ACILIWM & SDSQDBSS | T: 40-70, 63.1 | C: 40-70, 63.3 | T: 111/87 | C: 45/20 | |
| Fu Yaping, 2018 | 60/60 | GDTAISC (2010) | T: 50-78, 62.1 | C: 48-76, 60.2 | T: 38/22 | C: 36/24 | |
| Li Yaorong, 2015 | 33/33 | CDETEA | T: 34-78 | C: 33-77 | T: 19/14 | C: 18/15 | |
| Wu Xiuhua, 2018 | 65/65 | MPDCD | T: 52-75, 62.3 | C: 50-73, 61.2 | T: 34/31 | C: 36/29 | |
| Liu Weicheng, 2017 | 53/52 | NR | T: 35-80, 36.8 | C: 36-78, 59.8 | T: 29/24 | C: 30/22 | |
| Chen Rong, 2011 | 40/40 | CDECEA & MPDCD | T: 55-82, 70.22 | C, 52-78, 66.78 | T: 28/12 | C: 30/10 | |
| Li Naiqian, 2017 | 40/40 | GDTAISC (2010) & GPCRND | T: 46-75, 64.73 | C: 48-78, 64.85 | T: 23/17 | C: 22/18 | |
| Zhong Lingyi, 2019 | 53/53 | GDAISC | T: 47-78, 59.56 | C: 45-77, 60.25 | T: 30/23 | C: 28/25 | |
| Jia Liang, 2017 | 70/70 | MPDCD | T: 53-75, 64.90 | C: 50-73, 64.72 | T: 45/25 | C: 43/27 | |
| Zhang Jin, 2004 | 76/60 | DCWM & DCTCM | T: 40-70, 57.25 | C: 42-71, 58.13 | T: 49/27 | C: 36/24 | |
| Wang Chengtai, 2016 | 62/63 | GDTAISC (2010) & CDECEA | T: 37-80, 61.17 | C: 34-81, 62.25 | T: 32/30 | C: 32/31 | |
| Niu Ben, 2016 | 48/48 | GDTAISC (2010) & DCQBSS | T: 61-73, 64.9 | C: 60-72, 65.7 | T: 31/17 | C: 33/15 | |
| Wang Aili, 2019 | 47/47 | GDTAISC (2014) & CDECEA | T: 44-79, 57.02 | C: 43-76, 56.87 | T: 25/22 | C: 27/20 | |
| Yuan Li, 2005 | 92/92 | DCTCM | T: 40-70, 58.37 | C: 42-71, 58.23 | T: 54/38 | C: 56/36 | |
| Bian Yonghong, 2017 | 93/93 | GPCRND | T: 47-82, 63.1 | C: 44-79, 63.8 | T: 51/42 | C: 49/44 | |
| Lou Fei, 2019 | 72/72 | GCDTCDC (2016) & CPTCM | T: 45-75, 61.26 | C: 45-72, 60.85 | T: 44/28 | C: 40/32 | |
|
| |||||||
| ACU | Cai Jingjing, 2012 | 60/60 | CDECEA & RDCFNCCD | T: 35-75, 64.5 | C: 38-73, 64.6 | T: 29/31 | C: 31/29 |
| Chen Dan, 2018 | 30/30 | RDCFNCCD | T: 45-80, 64 | C: 38-80, 65 | T: 19/11 | C: 22/8 | |
| Dai Shuqing, 2015 | 30/26 | MPDVKCD (1997) & SSDEA | T: 60-75, 67.1 | C: 54-74, 64.9 | T: 19/11 | C: 16/10 | |
| Deng Xiaodong, 2018 | 73/73 | GSPISTIAC (2014) & CDTEDSTCM | T: 45-75, 62.8 | C: 45-78, 63.7 | T: 40/33 | C: 39/34 | |
| Du Xin, 2018 | 35/35 | NR | T: 41-65, 51.32 | C: 39-72, 50.67 | T: 18/17 | C: 16/19 | |
| Feng Shengwang, 2016 | 30/30 | GDTAISC | T: 48-72, 60 | C: 46-71, 58 | T: 18/12 | C: 19/11 | |
| Fu Qinhui, 2016 | 56/56 | CDECEA | T: 65.68 | C: 63.80 | T: 36/20 | C: 35/21 | |
| Fu Xiaofeng, 2019 | 34/26 | RDCFNCCD & DCAFSATCM | T: 60.35 | C: 62.33 | T: 18/16 | C: 14/12 | |
| Gao Ting, 2018 | 46/46 | GDTAISC | T: 63.76 | C: 64.23 | T: 25/21 | C: 27/19 | |
| Huang Wei, 2018 | 98/98 | GDTAISC | NR | NR | NR | NR | |
| Jiang Ming, 2018 | 58/58 | RDCFNCCD | T: 58.47 | C: 57.02 | T: 38/20 | C: 39/19 | |
| Lin Biyu, 2018 | 45/45 | NR | T: 47-73, 65.32 | C: 46-71, 64.48 | T: 32/13 | C: 30/15 | |
| Liu Sang, 2018 | 82/82 | MPDVKCD & SSDEA | T: 66.7 | C: 67.9 | T: 56/26 | C: 51/31 | |
| Peng Shaokun, 2015 | 38/38 | SSDEA | T: 43-78, 61.6 | C: 41-81, 61.2 | T: 22/16 | C: 24/14 | |
| Shi Youjia, 2018 | 66/66 | NR | NR | NR | NR | NR | |
| Shi Yunhua, 2017 | 40/40 | CDECEA | T: 51-78, 68.4 | C: 50-78, 68.6 | T: 25/15 | C: 24/16 | |
| Song Yi, 2017 | 42/42 | SSDEA | T: 60.43 | C: 60.29 | T: 19/23 | C: 24/18 | |
| Tang Youbin, 2014 | 34/34 | SSDEA | T: 31-64, 43 | C: 28-66, 38 | T: 23/11 | C: 28/6 | |
| Wang Jing, 2019 | 35/35 | NR | NR | NR | NR | NR | |
| Xiao Yu, 2013 | 68/50 | NR | T: 40-71, 51.9 | C: 41-72, 52.1 | T: 41/27 | C: 31/19 | |
| Xie Xiaojuan, 2018 | 43/40 | MPDVKCD | T: 56.94 | C: 58.15 | T: 22/21 | C: 21/19 | |
| Xu Lei, 2017 | 30/30 | CDTEDSTCM | T: 40-74, 58 | C: 42-74, 61 | T: 15/15 | C: 16/14 | |
| Xu Wansong, 2017 | 42/42 | MPDVKCD | T: 44-71, 56.18 | C: 45-73, 56.32 | T: 28/14 | C: 25/17 | |
| Zhang Liao, 2018 | 50/50 | GPTCDC & CDECEA | T: 40-77, 55.9 | C: 41-76, 56.4 | T: 34/16 | C: 33/17 | |
| Zhang Ningxia, 2010 | 40/40 | RDCFNCCD | T: 40-80, 65.9 | C: 40-80, 69.2 | T: 26/14 | C: 24/16 | |
| Zhou Minya, 2016 | 58/58 | MPDVKCD | T: 59.45 | C: 58.16 | T: 39/19 | C: 35/23 | |
| Zhou Shuxin, 2018 | 60/60 | RDCFNCCD | T: 49-84, 69.1 | C: 51-85, 70.4 | T: 38/22 | C: 41/19 | |
|
| |||||||
| OTTCM | Yao Baonong, 2014 | 30/30 | CDECEA (1995) | T: 50-76, 60.9 | C: 52-77, 61.7 | T: 18/22 | C: 16/14 |
| Zhu Xiaolei, 2017 | 30/30 | GPTCDC (2007) | T: 51-76, 61.5 | C: 50-78, 62.3 | T: 16/14 | C: 17/13 | |
| Yan Jiang, 2017 | 49/49 | NR | T: 55-75, 62.9 | C: 55-75, 63.1 | T: 32/17 | C: 31/18 | |
| Qi Jiangmin, 2017 | 41/39 | MPDAKCD & CDECEA | T: 18-75, 53.6 | C: 18-75, 52.8 | T: 25/16 | C: 17/22 | |
| Huo and Wang, 2014 | 36/32 | CDECEA (1996) | T: 59 | C: 62 | T: 20/16 | C: 18/14 | |
| Guo Chenggang, 2015 | 36/36 | DCCA (1995) | T: 55.7 | C: 56.2 | T: 20/16 | C: 19/17 | |
| Ding Min, 2018 | 40/39 | CDECEA (1996) & MPDAKCD | T: 46-69, 61.0 | C: 44-70, 60.2 | T: 19/21 | C: 20/19 | |
| Yan Hongda, 2018 | 45/45 | NR | T: 65.65 | C: 63.21 | T: 25/20 | C: 28/17 | |
| Zhao Lijuan, 2013 | 40/40 | NR | T: 44-78, 62.72 | C: 48-80, 62.56 | T: 22/18 | C: 19/21 | |
| Nie Bin, 2013 | 40/40 | CETEDA & MPDAKCD | T: 38-75, 58 | C: 38-75, 59 | T: 23/17 | C: 21/19 | |
| Hou and Liu, 2014 | 36/32 | CDECEA (1996) | T: 59.2 | C: 61.8 | T: 20/16 | C: 18/14 | |
| Huo Xinhui, 2016 | 36/32 | MPDAKCD & CDECEA | T: 52.25 | C: 54.88 | T: 25/11 | C: 19/13 | |
| Yang Haixia, 2016 | 30/30 | ESCETCMDA (1995) & GDTALSC (2010) | T: 28-67 | C: 31-70 | T: 20/10 | C: 18/12 | |
| Li Chaoming, 2018 | 43/43 | CDTEDSTCM & DCA | T: 48-76, 62.4 | C: 46-77, 63.1 | T: 25/18 | C: 24/19 | |
| Zhao Yang, 2017 | 39/39 | NR | T: 48-74, 62.04 | C: 47-73, 61.75 | T: 22/17 | C: 21/18 | |
| Wang Ling, 2014 | 30/30 | SDTRMC | T: 53.53 | C: 51.53 | T: 21/9 | C: 18/12 | |
ATCICE: atherosclerotic thrombotic cerebral infarction or cerebral embolism; ACU: acupuncture; ACILIWM: arteriosclerosis cerebral infarction or lacunar infarction in western medicine; C: control group; CEDEA: criteria for evaluation of diagnostic efficacy of apoplexy; CDECEA: criteria for diagnosis and evaluation of curative effect of apoplexy; CDTEDSTCM: criteria for diagnosis and therapeutic effect of diseases and syndromes of traditional Chinese medicine; CETEDA: criteria for evaluation of therapeutic effect in the diagnosis of apoplexy; CPTCM: clinical pathway of traditional Chinese medicine in 22 specialties and 95 diseases; CDETEA: criteria for diagnosis and evaluation of therapeutic effect of apoplexy in traditional Chinese medicine; DCAFSATCM: diagnostic criteria for apoplexy formulated by the state administration of traditional Chinese medicine; DCA: diagnostic criteria for apoplexy; DCCA: diagnostic criteria of cerebral apoplexy; DCIS: diagnostic criteria of ischemic stroke; DCQBSS: diagnostic criteria of qi deficiency and blood stasis syndrome in traditional Chinese medicine; DCTCM: diagnostic criteria of traditional Chinese medicine; DCWM: diagnostic criteria of western medicine; ESCETCMDA: evaluation standard of curative effect of traditional Chinese medicine diagnosis of apoplexy; GSPISTIAC: guidelines for secondary prevention of ischemic stroke and transient ischemic attack in China; GCDTCDC: guidelines and consensus for diagnosis and treatment of cerebrovascular diseases in China; GPTCDC: guidelines for the prevention and treatment of cerebrovascular diseases in China; GDAISC: guidelines for the diagnosis of acute ischemic stroke in China; GDTAISC: guidelines for the diagnosis and treatment of acute ischemic stroke in China; GDTALSC: guidelines for the diagnosis and treatment of acute ischemic stroke in China 2010; GPCRND: guiding principles for clinical research of new drugs of traditional Chinese medicine; GPTCDCSTCM: guidelines for the prevention and treatment of cerebrovascular diseases of the Chinese society of traditional Chinese medicine; MPDVKCD: main points of diagnosis of various kinds of cerebrovascular diseases; MPDCD: main points of diagnosis of all kinds of cerebrovascular diseases; MPDAKCD: main points of diagnosis of all kinds of cerebrovascular diseases; NR: no report; NE: neurology; OTTCM: other treatments of traditional Chinese medicine; RDCFNCCD: reference to the diagnostic criteria of the fourth National Conference on Cerebrovascular Diseases; SDSQDBSS: syndrome differentiation standard of qi deficiency and blood stasis syndrome in traditional Chinese medicine; SDTRMC: standard for diagnosis and treatment of rehabilitation medicine in China; SSDEA: scoring standard for diagnostic efficacy of apoplexy; T: trial group; TCMs: traditional Chinese medicines.
Intervention characteristics of included studies.
| Study ID (name, year) | Treatment group | Control group | Duration/follow-up | Outcome measures | |
|---|---|---|---|---|---|
| TCMs | Wang Yuxiu, 2017 | TCM-1 (3 tablets, tid)+RT | RT | 8 weeks/NR | TC, TG, LDL, HDL, hs-CRP, HCY |
| Zhao Xiaoli, 2017 | TCM-3, bid+TCM-4, bid+RT | RT | 2 months/NR | TC, HDL, LDL, TG, HCT | |
| Chen Si, 2016 | TCM-5, tid+RT | RT | 14 days/NR | hs-CRP, FIB | |
| Li Shefang, 2016 | TCM-6, ivdrip, qd+RT | RT | 1 month/NR | TER, NIHSS | |
| Zhang Kefei, 2018 | TCM-7, po+RT | RT | 4 weeks/NR | TG, TC, NIHSS, Bl, WHV, WLV, PV | |
| Zhao Jing, 2016 | TCM-1 (3 tablets, tid)+RT | RT | 12 months/NR | TC, TG, HDL, LDL, NIHSS | |
| Yang Zhenwei, 2017 | TCM-8, po, qd+RT | RT | 3 months/NR | NIHSS, HCY | |
| Liu Yupeng, 2016 | TCM-2+RT | RT | 4 weeks/NR | FMA, Bl | |
| Cao Ying, 2014 | TCM-9, 4 tablets, tid+RT | RT | 28 days/NR | TER | |
| Fu Yaping, 2018 | TCM-10, 200 ml/d, bid+RT | RT | 8 weeks/NR | TER, SITCM, NIHSS | |
| Li Yaorong, 2015 | TCM-11, ivdrip, qd+RT | RT | 14 days/NR | TER, HCT, FIB | |
| Wu Xiuhua, 2018 | TCM-12, 3 tablets, tid+RT | RT | 3 months/NR | TER, NIHSS, FIB | |
| Chen Rong, 2011 | TCM-13, bid+RT | RT | 14 days/NR | NIHSS, Bl | |
| Zhong Lingyi, 2019 | TCM-2, bid+RT | RT | 8 weeks/NR | TER, hs-CRP | |
| Jia Liang, 2017 | TCM-14, bid+RT | RT | 8 weeks/NR | FMA, Bl, HCY | |
| Zhang Jin, 2004 | TCM-15, bid+RT | RT | 28 days/NR | TER, FIB, TC, TG, LDL, HDL | |
| Wang Chengtai, 2016 | TCM-16, bid+RT | RT | 4 weeks/NR | TER, hs-CRP, FIB, HCY | |
| Niu Ben, 2016 | TCM-17, bid+RT | RT | 8 weeks/NR | TER, BI, HCY | |
| Wang Aili, 2019 | TCM-2, bid+RT | RT | 6 weeks/NR | NIHSS, SITCM, FIB, TER | |
| Yuan Li, 2005 | TCM-18, 0.4 g/time, ivdrip+RT | RT | 28 days/NR | TER, FIB, TC, TG, HDL, LDL | |
| Liu Weicheng, 2017 | TCM-19, tid, 2 bags/time+RT | RT | 1 month/NR | TER, TC, TG, FIB, WHV, WLV, PV | |
| Li Naiqian, 2017 | TCM-20, 200 ml/d, bid+RT | RT | 15 days/12 months | NIHSS, Bl, HCY, hs-CRP, FIB | |
| Bian Yonghong, 2017 | TCM-21, 200 ml/d, bid+RT | RT | 8 weeks/NR | NIHSS, HCT | |
| Lou Fei, 2019 | TCM-22, 3 tablets, tid+RT | RT | 12 weeks/NR | NIHSS, HCY, SITCM | |
|
| |||||
| ACU | Cai Jingjing, 2012 | Acupuncture+RT1 | RT1 | 4 weeks/NR | ADL |
| Chen Dan, 2018 | Acupuncture+RT | RT | 4 weeks/NR | SSA, VFSS | |
| Dai Shuqing, 2015 | Acupuncture, qd+RT2 | RT2 | 36 days/NR | FMA, NIHSS | |
| Deng Xiaodong, 2018 | Acupuncture, qd+RT | RT | 3 weeks/NR | TER, FMA | |
| Du Xin, 2018 | Acupuncture, qd+RT3 | RT3 | 4 weeks/NR | TER, FMA, BI | |
| Feng Shengwang, 2016 | Acupuncture, qd+RT4 | RT4 | 3 weeks/NR | TER, VFSS | |
| Fu Qinhui, 2016 | Acupuncture, qd+RT | RT | 8 weeks/NR | FMA, BI | |
| Fu Xiaofeng,2019 | Acupuncture, qd+RT | RT | 4 weeks/NR | TER, FMA, BI | |
| Gao Ting, 2018 | Acupuncture, qd+RT5 | RT5 | 4 weeks/NR | TER, FMA, BI, BFGF, VEGF | |
| Huang Wei, 2018 | Acupuncture, qd+RT | RT | 4 weeks/NR | TER | |
| Jiang Ming, 2018 | Acupuncture, qd+RT6 | RT6 | 4 weeks/NR | TER, FMA, ADL, NIHSS | |
| Lin Biyu, 2018 | Acupuncture, qd+RT7 | RT7 | 20 days/NR | TER, BI | |
| Liu Sang, 2018 | Acupuncture, qd+RT | RT | 2 weeks/NR | TER, FMA, BI | |
| Peng Shaokun, 2015 | Acupuncture, qd+RT | RT | 3 weeks/NR | TER, BI | |
| Shi Youjia, 2018 | Acupuncture, qd+RT | RT | NR/NR | ADL, NIHSS | |
| Shi Yunhua, 2017 | Acupuncture, qod+RT | RT | 4 weeks/NR | TER | |
| Song Yi, 2017 | Acupuncture, qd+RT8 | RT8 | 4 weeks/5 months | FMA, NIHSS | |
| Tang Youbin, 2014 | Acupuncture, qd+RT | RT | NR/NR | TER, ADL | |
| Wang Jing, 2019 | Acupuncture, qd+RT9 | RT9 | 12 weeks/3 months | ADL | |
| Xiao Yu, 2013 | Acupuncture, qd+RT | RT | 12 weeks/NR | TER | |
| Xie Xiaojuan, 2018 | Acupuncture, qd+RT | RT | 4 weeks/NR | TER, NIHSS | |
| Xu Lei, 2017 | Acupuncture, qd+RT | RT | 40 days/NR | TER, FMA, BI | |
| Xu Wansong, 2017 | Acupuncture, qd+RT | RT | 40 days/NR | TER, FMA, BI, NIHSS | |
| Zhang Liao, 2018 | Acupuncture, qd+RT10 | RT10 | 10 weeks/NR | FMA, BI, NIHSS | |
| Zhang Ningxia, 2010 | Acupuncture, qd+RT11 | RT11 | 3 weeks/NR | TER, FMA, BI, NIHSS | |
| Zhou Minya, 2016 | Acupuncture, qd+RT | RT | 4 weeks/NR | TER, BI | |
| Zhou Shuxin, 2018 | Acupuncture, qd+RT12 | RT12 | 4 weeks/NR | IgA, IgG, IgM | |
|
| |||||
| OTTCM | Yao Baonong, 2014 | Moxibustion+RT | RT | 1 month/NR | Bl |
| Zhu Xiaolei, 2017 | Needle knife+RT | RT | 4 weeks/NR | FMA | |
| Yan Jiang, 2017 | SSIEAC+RT | RT | 15 days/NR | NIHSS, TER | |
| Qi Jiangmin, 2017 | Moxibustion+RT | RT | 1 week/NR | FMA, TER | |
| Huo and Wang, 2014 | Moxibustion+RT | RT | 20 days/1 month | FMA, Barthel | |
| Guo Chenggang, 2015 | Needle knife+RT | RT | 6 weeks/NR | FMA, Barthel | |
| Ding Min, 2018 | Needle knife+RT | RT | 15 days/NR | FMA, CSI, TER | |
| Yan Hongda, 2018 | Moxibustion+RT | RT | 8 weeks/NR | MOCA, Barthel, FMA | |
| Zhao Lijuan, 2013 | SWM+RT | RT | 15 days/NR | FMA, Barthel | |
| Nie Bin, 2013 | Moxibustion+RT | RT | 2 months/NR | FMA, Barthel, TER | |
| Hou and Liu, 2014 | Moxibustion+RT | RT | 20 days/1 month | FMA, Barthel | |
| Huo Xinhui, 2016 | Moxibustion+RT | RT | 1 month/1 month | FMA | |
| Yang Haixia, 2016 | Moxibustion+RT | RT | 1 month/NR | MRS | |
| Li Chaoming, 2018 | Moxibustion+RT | RT | 4 weeks/NR | Barthel, MRS, TER | |
| Zhao Yang, 2017 | Moxibustion+RT | RT | 2 months/NR | NIHSS, TER | |
| Wang Ling, 2014 | Moxibustion+RT | RT | 3 weeks/NR | FMA | |
ADL: evaluation result of activities of daily living; bid: twice a day; BI: Barthel Index; BFGF: serum fibrillar growth factor; CSI: clinical spasticity index; FMA: Fugl-Meyer Assessment; FIB: fibrinogen; hs-CRP: hypersensitive C-reactive protein; HDL: high-density lipoprotein; HCY: homocysteine; HCT: hematocrit; ivdrip: intravenous drip; IgA: immunoglobulin A; IgG: Immunoglobulin G; IgM: immunoglobulin M; LDL: low-density lipoprotein; MRS: modified Rankin scale; NIHSS: National Institutes of Health Stroke Scale; po: oral administration; PV: plasma viscosity; qd: once a day; RT: routine treatment; SITCM: syndrome integral of traditional Chinese medicine; SSA: standardized swallowing assessment; SSIEAC: self-made square internal and external application combined with puncture and cupping; SWM: scrapping with moxibustion; TER: total efficacy rate; TC: total cholesterol; TG: triglyceride; tid: three times a day; VEGF: vascular endothelial growth factor; VFSS: videofluoroscopy swallowing study; WHV: whole high viscosity; WLV: whole low viscosity.
Prescription of TCM and its source.
| Drugs | Prescription name | Composition | Prescription | Source |
|---|---|---|---|---|
| TCM-1 | Yindan Xinnao Tong soft capsule | Ginkgo Folium, Salviae Mihiorrhizae Radix et Rhizoma, Erigeron breviscapus, Gynostemma pentaphyllum, Crataegi Fructus, Allii sativum Bulbus, Notoginseng Radix et Rhizoma, L-Borneolum | 《Chinese Pharmacopoeia》 | |
| TCM-2 | Buyang Huanwu decoction | Astragali Radix, Angeticae Sinensis Radix, Paeoniae Radix Rubra, Pheretima, Chuanxiong Rhizoma, Carthami Flos, Persicae Semen | 《Yi Lin Gai Cuo》 | |
| TCM-3 | Added flavor of Buzhong Yiqi decoction | Astragali Radix 30 g, Codonopsis 20 g, (Angeticae Sinensis Radix, Atractylodis Macrocephalae Rhizoma, Alismatis Rhizoma, Bupleuri Radix, Rehmanniae Radix, Puerariae Lobatae Radix, Chuanxiong Rhizoma, Achyranthis Bidentatae Radix) 15 g, (Ophiopogonis Radix, Gastrodiae Rhizoma) 12 g, (Pheretima, Citri Reticulatae Pericarpium, Carthami Flos) 9 g | Buzhongyiqi decoction | 《Yi Lin Gai Cuo》 |
| TCM-4 | Shenmatongluo capsules | Astragali Radix, Salviae Mihiorrhizae Radix et Rhizoma, Gastrodiae Rhizoma, Pinelliae Rhizoma, Paeoniae Radix Rubra, Angeticae Sinensis Radix, Persicae Semen, Carthami Flos, Spatholobi Caulis, Bambusae Caulis in Taenias, Acori Tatarinowii Rhizoma, Bombyx Batryticatus, Lycii Fructus, Curcumae Radix, Paeoniae Radix Alba, Achyranthis Bidentatae Radix | 《Chinese Pharmacopoeia》 | |
| TCM-5 | Shenqi Fuzheng injection | Codonopsis, Astragali Radix | 《Chinese Pharmacopoeia》 | |
| TCM-6 | Shuxuetong injection | Hirudo, Pheretima | 《Chinese Pharmacopoeia》 | |
| TCM-7 | Pinggan Ditan Tongluo decoction | Gastrodiae Rhizoma 10 g, Uncariae Ramulus cum Uncis 20 g, Salviae Mihiorrhizae Radix et Rhizoma 15 g, Notoginseng Radix et Rhizoma 15 g, Angeticae Sinensis Radix 15 g, Chuanxiong Rhizoma 15 g, Acori Tatarinowii Rhizoma 10 g, Persicae Semen 10 g, Carthami Flos 10 g, Glycyrrhizae Radix et Rhizoma 6 g | Kang Xian Jian | Self-formulation |
| TCM-8 | Quyu Huatan Tongfu recipe | Coptidis Rhizoma9 g, Forsythiae Fructus 9 g, Phyllostachys nigra 9 g, Inulae Flos 9 g, Aurantii Fructus Immaturus 9 g, Puerariae Lobatae Radix 30 g, Hirudo 3 g, fried Crataegi Fructus 10 g, Poria 10 g, Rheum Palmatum 5 g, Notoginseng Radix et Rhizoma 3 g, mother of pear 15 g | Huanglian Wendan decoction | 《Liu Yin Tiao Bian》 |
| TCM-9 | Naoxintong capsule | Astragali Radix, Paeoniae Radix Rubra, Salviae Mihiorrhizae Radix et Rhizoma, Angeticae Sinensis Radix, Chuanxiong Rhizoma, Persicae Semen, Carthami Flos, Vinger Boswelliacarteri, Vinger Myrrha, Spatholobi Caulis, Achyranthis Bidentatae Radix, Cinnamomi Ramulus, Morus albal, Pheretima, Scorpio, Hirudo | 《Chinese Pharmacopoeia》 | |
| TCM-10 | Yiqi Huoxue Tongluo Tang | Astragalus mongholicus Bunge60 g, Ginseng Radix et Rhizoma 30 g, (Persicae Semen, Carthami Flos, Salviae Mihiorrhizae Radix et Rhizoma, Angeticae Sinensis Radix) 15 g, (Paeoniae Radix Rubra, Chuanxiong Rhizoma, Hirudo, Pheretima, Atractylodis Macrocephalae Rhizoma, Alpinia oxyphylla Miq, Acori Tatarinowii Rhizoma, Polygalae Radix) 12 g, Glycyrrhizae Radix et Rhizoma cum Melle 6 g | Buyang Huanwu decoction | 《Yi Lin Gai Cuo》 |
| TCM-11 | Shuxuening injection | Ginkgo Folium | 《Chinese Pharmacopoeia》 | |
| TCM-12 | Maixuekang capsule | Hirudo | 《Chinese Pharmacopoeia》 | |
| TCM-13 | Modified Buyang Huanwu decoction | Astragali Radix 60 g, Persicae Semen 10 g, Carthami Flos 10 g, Angeticae Sinensis Radix 10 g, Chuanxiong Rhizoma 10 g, Pheretima 10 g, Erigeron breviscapus 30 g, Hirudo 10 g, Asari Radix et Rhizoma 10 g, Puerariae Lobatae Radix 30 g, Acori Tatarinowii Rhizoma 15 g, Angelicae Dahuricae Radix 8 g | Buyang Huanwu decoction | 《Yi Lin Gai Cuo》 |
| TCM-14 | Traditional Chinese medicine for tonifying qi and promoting blood circulation | Astragali Radix 30 g, Codonopsis 20 g, Achyranthis Bidentatae Radix 20 g, Pheretima 15 g, Taxilli Herba 15 g, Spatholobi Caulis 15 g, Cinnamomi Ramulus 10 g, Angeticae Sinensis Radix 10 g, Paeoniae Radix Rubra 10 g, Chuanxiong Rhizoma 10 g, Eucommiae Cortex 10 g, common clubmoss herb Latin 10 g, Glycyrrhizae Radix et Rhizoma 10 g | Buyang Huanwu decoction | 《Yi Lin Gai Cuo》 |
| TCM-15 | Gegen huangqi soup | Astragali Radix 30 g~60 g, Puerariae Lobatae Radix 30 g, Salviae Mihiorrhizae Radix et Rhizoma 12 g, Bombyx Batryticatus 10 g, Spatholobi Caulis 25 g, Angeticae Sinensis Radix 6 g, cicada slough 10 g, Scorpio 5 g | Zhufeng Tongbi decoction | |
| TCM-16 | Qi-tonifying and stasis-eliminating therapy | Astragalus mongholicus Bunge 60 g, (Pheretima, Paeoniae Radix Rubra) 15 g, Angeticae Sinensis Radix 12 g, (Saposhnikoviae Radix, Chuanxiong Rhizoma) 10 g, (Hirudo, Scorpio) 6 g | Buyang Huanwu decoction | 《Yi Lin Gai Cuo》 |
| TCM-17 | Buqi Jiannao Tongluo Tang | Astragali Radix 60 g, Codonopsis 20 g, Angeticae Sinensis Radix 10 g, Paeoniae Radix Rubra 10 g, Chuanxiong Rhizoma 10 g, Achyranthis Bidentatae Radix 15 g, Pheretima 15 g, Cinnamomi Ramulus 10 g, Dipsaci Radix 15 g, Taxilli Herba 15 g, Eucommiae Cortex 10 g, Chaenomelis Fructus 10 g, common clubmoss herb Latin 10 g, Stephaniae Tetrandrae Radix 15 g, Hirudo 10 g, Spatholobi Caulis 15 g, Platycodonis Radix 10 g, Glycyrrhizae Radix et Rhizoma 10 g | Buyang Huanwu decoction | 《Yi Lin Gai Cuo》 |
| TCM-18 | Puerarin | Puerariae Lobatae Radix | 《Chinese Pharmacopoeia》 | |
| TCM-19 | Lemai granule | Salviae Mihiorrhizae Radix et Rhizoma, Chuanxiong, Rhizoma, Paeoniae Radix Rubra, Carthami Flos, Cyperi Rhizoma, Aucklandiae Radix, Crataegi Fructus | 《Chinese Pharmacopoeia》 | |
| TCM-20 | Yiqi Huoxue Huatan Tongluo decoction | Astragali Radix 30 g, Paeoniae Radix Rubra 25 g, Angeticae Sinensis Radix 15 g, (Persicae Semen, Chuanxiong Rhizoma, Citri Reticulatae Pericarpium, Bambusae Caulis in Taenias, Pinelliae Rhizoma Praeparatum, Aurantii Fructus Immaturus, Acori Tatarinowii Rhizoma, Polygalae Radix) 10 g, (Carthami Flos, Glycyrrhizae Radix et Rhizoma) 6 g | Buyang Huanwu decoction | 《Yi Lin Gai Cuo》 |
| TCM-21 | Qingnao Shuluo decoction | Astragali Radix Praeparata Cum Malle 30 g, Angeticae Sinensis Radix 10 g, Paeoniae Radix Rubra 10 g, Persicae Semen 10 g, Carthami Flos 6 g, Pheretima 10 g, Salviae Mihiorrhizae Radix et Rhizoma 15 g, Chuanxiong Rhizoma 10 g, Spatholobi Caulis 30 g, Taxilli Herba 15 g, Achyranthis Bidentatae Radix 15 g, Liquidambaris Fructus 20 g, Crataegi Fructus 15 g | Buyang Huanwu decoction | 《Yi Lin Gai Cuo》 |
| TCM-22 | Peiyuan Tongzhi capsule | Polygoni Multiflori Radix, Rehmanniae Radix, Cervi Cornu Pantotrichum, Cistanches Herba, Cinnamomi cortex, Scorpio, Pheretima, Hirudo, Paeoniae Radix Rubra, Poria, fried Crataegi Fructus, Glycyrrhizae Radix et Rhizoma | 《Chinese Pharmacopoeia》 |
Acupoint control table.
| Study ID (name, year) | Acupoint |
|---|---|
| Cai Jing-jing, 2012 | Jianliao, Quchi, Hegu, Huantiao, Yanlingquan, Zusanli, Xuanzhong, Jiexi, Kunlun, Taichong, Dicang, Yingxiang, Jiachengjiang, Lianquan |
| Chen Dan, 2018 | Lianquan, Fengchi, Fengfu |
| Dai Shu-qing, 2015 | Guanyuan, Qihai, Zusanli, Jianzhen, Naoshu, Bingfeng, Tianzong, Quyuan, Jianwaishu, Jianzhongshu, Jianyu, Quchi, Hegu |
| Deng Xiao-dong, 2018 | Biguan, Xuehai, Xuanzhong, Yanglingquan, Huantiao, Fengshi, Quxu, Fenglong, Zusanli |
| Du Xin, 2018 | Baihui, Taiyang, Fengchi, Zusanli, Zhibian, Xiyan, Yanglingquan, Huantiao, Jiexi, Zhongfeng, Hegu |
| Feng Sheng-wang, 2016 | Lianquan, Yifeng, Fengchi, Wangu, Fengfu, Yamen, Daying, Jinjin |
| Fu Qin-hui, 2016 | Shenting, Baihui, Hegu, Fenglong, Jianyu, Quchi, Waiguan, Yanglingquan, Zusanli, Tianjin, Naohui, Weizhong, Chengshan, Taichong, Shangjuxu, Taixi, Qihai, Shenshu |
| Fu Xiao-feng, 2019 | Huatuojiaji, Renying, Baihui |
| Gao Ting, 2018 | Quchi, Waiguan, Hegu, Zusanli, Houxi, Weizhong, Yanglingquan, Huantiao, Juegu, Kunlun |
| Huang Wei, 2018 | Sishencong, Xuanli, Baihui, Qubin |
| Jiang Ming, 2018 | Baihui, Renzhong, Dicang, Shousanli, Quchi, Neiguan, Hegu, Waiguan, Jianliao, Shaoze, Zusanli, Huantiao, Yanglingquan, Fengshi, Xuehai, Chengshan, Yinlingquan, |
| Lin Bi-yu, 2018 | Hegu, Quchi, Baihui, Shenting, Sishencong, Neiguan, Waiguan, Zusanli, Taichong, Taixi, Fengchi, Jiquan, Chize |
| Liu Sang, 2018 | Zusanli, Yanglingquan, Weizhong, Huantiao, Quchi, Hegu, Xinshu, Geshu, Shenshu, Dazhui, Baihui, Renzhong, Taichong, Neiting, Cuanzhu, Dicang, Futu1, Jiache, Yangbai, Tiantu, Fenglong, Xuehai, Qihai, Taixi, Guanyuan |
| Peng Shao-kun, 2015 | Renzhong, Jianyu, Waiguan, Quchi, Chize, Taixi, Taichong, Weizhong, Huantiao, Neiguan, Sanyinjiao, Shousanli, Hegu, Tianfu, Shaohai, Zusanli, Yongquan, Jiquan, Xuehai, Fenglong |
| Shi You-jia, 2018 | Yongquan, Zusanli, Fenglong, Yanglingquan, Weizhong, Hegu, Neiguan, Shuigou, Quchi, Chize, Sanyinjiao, Baihui |
| Shi Yun-hua, 2017 | Renzhong, Baihui, Sishencong, Yintang, Neiguan, Zusanli, Sanyinjiao, Xuehai, Jiquan, Weizhong, Chize |
| Song Yi, 2017 | Baihui, Taiyang, Fengchi, Jianyu, Quchi, Hegu, Baxie, Zhibian, Huantiao, Xiyan, Yanglingquan, Zusanli, Quxu, Taichong, Fenglong, Taixi |
| Tang You-bin, 2014 | Tianzong, Yangchi, Wangu |
| Wang Jing, 2019 | Baihui, Yintang, Neiguan, Yanglingquan, Taixi, Danshu, Geshu, Yongquan, Xinshu, Shenshu |
| Xiao Yu, 2013 | Renzhong, Jiquan, Tongli, Neiguan, Juegu, Zusanli, Sanyinjiao, Yongquan, Jianyu, Quchi, Jianqia, Waiguan, Houxi, Jianzhen, Lieque, Jianqian, Guanyuan |
| Xie Xiao-juan, 2018 | Sanyinjiao, Shenmen, Sishencong, Shenting, Taichong, Neiguan, Taixi |
| Xu Lei, 2017 | Huatuojiaji, Jianyu, Quchi, Waiguan, Hegu, Huantiao, Futu1, Zusanli, Xuanzhong, Qiuxu, Kunlun |
| Xu Wan-song, 2017 | Renzhong, Baihui, Hegu, Quchi, Neiguan, Waiguan, Sanyinjiao, Zusanli, Yanglingquan |
| Zhang Liao, 2018 | Renzhong, Neiguan, Sanyinjiao, Weizhong, Jiquan, Chize |
| Zhang Ning-xia, 2010 | Jianyu, Quchi, Hegu, Yanglingquan, Yinlingquan, Zusanli, Sanyinjiao |
| Zhou Min-ya, 2016 | Baihui, Sishen, Shenting, Neiguan, Shenmen, Sanyinjiao |
| Zhou Shu-xin, 2018 | Shangjuxu, Zusanli, Taiyang, Yifeng, Qianzheng, Fengchi, Taichong, Cuanzhu, Yingxiang, Sibai, Jingming, Jiache, Chengjiang, Renzhong |
Acupuncture control group.
| Routine treatment | Treatment mode |
|---|---|
| RT1 | Drugs that promote the functional recovery of brain tissue, neurotrophic drugs, lower blood pressure, hypoglycemic, rehabilitation training |
| RT2 | Good limb position, rehabilitation training |
| RT3 | Lower blood pressure, hypoglycemic, rehabilitation training |
| RT4 | Antiplatelet aggregation, defibrillating, stabilization of plaques, improvement of cerebral circulation and neuroprotection, rehabilitation training |
| RT5 | Regulation of blood lipids, lower blood pressure, hypoglycemic, rehabilitation training |
| RT6 | Nutrition of nerves, improvement of circulation, dehydration and lowering of intracranial pressure to control blood pressure and regulate blood glucose in patients with hypertension and diabetes mellitus, rehabilitation training |
| RT7 | Anticoagulant, antiplatelet aggregation, free radical scavenging, neuroprotective agents, brain cell protective dose therapy |
| RT8 | Blood pressure, blood glucose, regulating blood lipids, giving antiplatelet aggregation, nutritional nerve, as well as symptomatic treatment, prevention and treatment of complications and other basic treatment |
| RT9 | Hypotension, lipid reduction, antiplatelet aggregation, etc. |
| RT10 | Control of blood pressure, blood glucose, antiplatelet aggregation, oxygen support, anti-infection, dehydration, reduction of intracranial pressure, regulation of water and electrolyte disorders, improvement of cerebral metabolism, craniomagnetic stimulation therapy, etc. |
| RT11 | Control of blood glucose, high intracranial pressure treatment: 20°~30°, 20% mannitol 125 ml/ivdrip or 25% glycerin fructose 250 ml/ivdrip, rehabilitation training |
| RT12 | Neurotrophic drugs, rehabilitation training, etc. |
Figure 3Risk of bias assessment in eligible studies. The quality assessment was conducted by Review Manager 5.3 according to the Cochrane Handbook for Systematic Reviews of Interventions Version 5.1.0. Red circle: high risk of bias; green circle: low risk of bias; blank: unclear risk of bias.
Figure 4Forest plot of TER treated with TCMs, ACU, and OTTCM alone.
Figure 5Forest plot of indices of blood lipid in patients treated with TCMs and routine treatment. (a) The plot of TC, (b) the plot of TG, (c) the plot of LDL, and (d) the plot of HDL.
Figure 6Forest plot of indices of hs-CRP, FIB, and HCY function in patients treated with TCMs and routine treatment. (a) The plot of hs-CRP, (b) the plot of FIB, and (c) the plot of HCY.
Figure 7Forest plot of the NIHSS in patients treated with TCMs, ACU, or OTTCM combined with routine treatment.
Figure 8Forest plot of the BI treated with TCMs, ACU, and OTTCM alone.
Figure 9Forest plot of FMA in patients treated with ACU or OTTCM combined with routine treatment.
TCMs combined with routine treatment vs. routine treatment on hemorheological indices.
| Hemorheological indices | Number of studies | Study ID | Cases of experimental group | Cases of control group | MD (95% CI) |
|
|
|---|---|---|---|---|---|---|---|
| WHV | 2 | Liu Weicheng 2017, Zhang Kefei 2018 | 110 | 108 | -0.89 (-1.04, -0.74) | 11.56 | <0.00001 |
| WLV | 2 | Liu Weicheng 2017, Zhang Kefei 2018 | 110 | 108 | -2.30 (-4.24, -0.36) | 2.32 | 0.02 |
| PV | 2 | Liu Weicheng 2017, Zhang Kefei 2018 | 110 | 108 | -0.49 (-0.68, -0.31) | 5.19 | <0.00001 |
| HCT | 3 | Li Yaorong 2015, Zhao Xiaoli 2017, Bian Yonghong 2017 | 168 | 168 | -2.65 (-4.71, -0.58) | 2.51 | 0.01 |
ACU combined with routine treatment vs. routine treatment on serum immunoglobulin.
| Serum immunoglobulin | Number of studies | Study ID | Cases of experimental group | Cases of control group | MD (95% CI) |
|
|
|---|---|---|---|---|---|---|---|
| IgA | 1 | Zhou Shu-xin 2018 | 60 | 60 | -0.77 (-1.09, -0.45) | 4.71 | <0.00001 |
| IgG | 1 | Zhou Shu-xin 2018 | 60 | 60 | -1.87 (-2.51, -1.23) | 5.72 | <0.00001 |
| IgM | 1 | Zhou Shu-xin 2018 | 60 | 60 | -0.91 (-1.23, -0.59) | 5.54 | <0.00001 |
OTTCM combined with routine treatment vs. routine treatment on the observation index.
| Indices | Number of studies | Study ID | Cases of experimental group | Cases of control group | MD (95% CI) |
|
|
|---|---|---|---|---|---|---|---|
| CSI | 1 | Ding Min 2018 | 40 | 39 | -1.26 (-1.95, -0.57) | 3.56 | 0.0004 |
| MOCA | 1 | Yan Hongda 2018 | 45 | 45 | 3.39 (1.04, 5.74) | 2.83 | 0.005 |
| MRS | 2 | Li Chaoming 2018, Yang Haixia 2016 | 73 | 73 | -0.61 (-0.81, -0.42) | 6.08 | <0.00001 |
ACU combined with routine treatment vs. routine treatment on the swallowing function score.
| Indices | Number of studies | Study ID | Cases of experimental group | Cases of control group | MD (95% CI) |
|
|
|---|---|---|---|---|---|---|---|
| SSA | 1 | Chen Dan 2018 | 30 | 30 | -3.40 (-4.99, -1.81) | 4.19 | <0.00001 |
| VFSS | 2 | Chen Dan 2018, Feng Sheng-wang 2016 | 60 | 60 | 2.44 (1.74, 3.14) | 6.80 | <0.00001 |
| ADL | 5 | Cai Jingjing 2012, Jiang Ming 2018, Shi Youjia 2018, Tang Youbin 2014, Wang Jing 2019 | 251 | 250 | 14.04 (7.23, 20.86) | 4.04 | <0.00001 |
ACU combined with routine treatment vs. routine treatment on BFGF and VEGF expression levels.
| BFGF and VEGF expression levels | Number of studies | Study ID | Cases of experimental group | Cases of control group | MD (95% CI) |
|
|
|---|---|---|---|---|---|---|---|
| BFGF | 1 | Gao Ting 2018 | 46 | 46 | 3.90 (2.86, 4.94]) | 7.36 | <0.00001 |
| VEGF | 1 | Gao Ting 2018 | 46 | 46 | 272.24 (261.12, 283.36) | 47.99 | <0.00001 |
Figure 10Analysis diagram of TCM-index network relationship.
Figure 11Analysis diagram of ACU-index network relationship.
Figure 12Analysis diagram of OTTCM-index network relationship.
Figure 13Funnel plot for the publication bias. (a) The plot of TER, (b) the plot of BI, (c) the plot of NIHSS, and (d) the plot of hs-CRP. The funnel plots of these factors were generally symmetrical, indicating that there is no obvious publication bias.
Egger's test.
| Indices | Egger's test | ||
|---|---|---|---|
|
|
| ||
| TER | Total | 1.4211 | 0.1553 |
| TCMs-TER | 1.3117 | 0.1896 | |
| ACU-TER | 0.3884 | 0.6977 | |
| OTTCM-TER | 0.9818 | 0.3262 | |
|
| |||
| BI | Total | 1.2143 | 0.2246 |
| TCMs-BI | 0.4194 | 0.6749 | |
| ACU-BI | -0.6821 | 0.4952 | |
| OTTCM-BI | 1.5219 | 0.1280 | |
|
| |||
| NIHSS | Total | -2.3936 | 0.0167 |
| TCMs-NIHSS | -0.4708 | 0.6378 | |
| ACU-NIHSS | -1.0771 | 0.2815 | |
| OTTCM-NIHSS | / | / | |
|
| |||
| hs-CRP | TCMs-hs-CRP | -2.5896 | 0.0096 |