Journal of Traditional Chinese Medicine ›› 2025, Vol. 45 ›› Issue (4): 711-719.DOI: 10.19852/j.cnki.jtcm.2025.04.001
• Meta-analysis • Next Articles
CHEN Ziying1, ZHAO Xiaoping3, FAN Xiaoxuan3, TANG Didi2, SUN Wen2, LYU Jing2, HUANG Lan2, QI Fan2
Received:2024-06-12
Accepted:2024-10-22
Online:2025-07-25
Published:2025-07-25
Supported by:CHEN Ziying, ZHAO Xiaoping, FAN Xiaoxuan, TANG Didi, SUN Wen, LYU Jing, HUANG Lan, QI Fan. Seven Traditional Chinese Medicine external treatments combined with rehabilitation training on the functional recovery of limbs in patients with cerebral hemorrhage: a network Meta-analysis[J]. Journal of Traditional Chinese Medicine, 2025, 45(4): 711-719.
| Study | n | Experimental group | Control group | Evaluation index | ||||||
|---|---|---|---|---|---|---|---|---|---|---|
| t | Age | N (Male/Female) | t | Age | n (Male/Female) | |||||
| Liao HY et al 2021 | 38 | A | 58.19±4.92 | 19 (11/8) | B | 57.35±4.57 | 19 (10/9) | FMA, BI | ||
| Ta CF et al 2013 | 60 | A | 62.3±7.87 | 30 (18/12) | B | 63.1±7.04 | 30 (19/11) | FMA, BI | ||
| Li TS et al 2021 | 86 | A | 58.20±11.03 | 43 (25/18) | B | 57.31±10.1 | 43 (23/20) | FMA | ||
| Wang MG et al 2021 | 48 | A | 52.67±8.22 | 24 (13/11) | B | 52.36±7.84 | 24 (12/12) | FMA | ||
| Wang BY et al 2018 | 90 | A | 55.5±1.0 | 45 (30/15) | B | 55.5±1.0 | 45 (28/17) | FMA | ||
| Li J et al 2018 | 66 | A | 55.98±6.76 | 33 (19/14) | B | 56.57±6.09 | 33 (20/13) | FMA | ||
| Wang XY et al 2018 | 80 | A | 58.2±10.4 | 40 (21/19) | B | 57.8±9.8 | 40 (26/14) | FMA | ||
| Zhu LL et al 2020 | 80 | A | 64.2±1.3 | 40 (25/15) | B | 63.9±1.2 | 40 (24/16) | FMA | ||
| Liu X et al 2019 | 94 | A | 57±4 | 47 (25/22) | B | 57±4 | 47 (26/21) | FMABI | ||
| Lin B et al 2017 | 76 | A | 60.5±10.2 | 38 (24/14) | B | 58.1±11.3 | 38 (26/12) | FMA, BI | ||
| Wang HQ et al 2020 | 134 | A | 55.76±7.66 | 67 (46/21) | B | 57.69±7.9 | 67 (41/26) | FMA, | ||
| Li L et al 2021 | 60 | C | 57±12.81 | 30 (20/10) | B | 58.1±10.97 | 30 (19/11) | BI | ||
| Wang CH et al 2005 | 60 | C | 55.3±10.8 | 30 (23/7) | B | 54.7±10.2 | 30 (20/10) | FMA, BI | ||
| Mao Y et al 2018 | 104 | C | 60.28±12.23 | 52 | B | 60.28±12.23 | 52 | FMA | ||
| Dong RL et al 2021 | 90 | D | 64.70±5.41 | 45 (25/20) | B | 64.19±5.32 | 45 (23/22) | FMA, BI | ||
| Wu DH et al 2020 | 100 | E | 64.06±8.70 | 50 (34/16) | B | 64.11±8.67 | 50 (22/28) | BI | ||
| Chen MF et al 2015 | 90 | E | 54.48±3.27 | 45 (27/18) | B | 54.79±3.19 | 45 (30/15) | BI | ||
| Lian LL et al 2022 | 60 | E | 57.45±11.28 | 30 (16/14) | B | 56.15±12.93 | 30 (18/12) | FMA, BI | ||
| Huang CB et al 2021 | 68 | E | 54.03±11.29 | 34 (21/13) | B | 55.76±11.44 | 34 (19/15) | FMA, BI | ||
| Wang ZY et al | 86 | E | 50.5 | 44 (20/24) | B | 57.4 | 42 (19/23) | FMA, BI | ||
| Chen S et al 2022 | 68 | F | 67.53±2.71 | 34 (19/15) | B | 66.11±2.94 | 34 (20/14) | BI | ||
| Gui SZ et al 2019 | 70 | F | 60.9±7.6 | 35 (21/14) | B | 60.9±7.7 | 35 (22/13) | FMA, BI | ||
| Tang JY et al 2020 | 120 | F | 53.46±3.21 | 60 (32/28) | B | 53.09±2.97 | 60 (33/27) | FMA, BI | ||
| Xu L et al 2022 | 80 | G | 59.20±7.31 | 40 (25/15) | B | 59.47±7.27 | 40 (26/14) | BI | ||
| Zhang T et al 2016 | 40 | G | 51.2±16.5 | 20 (11/9) | B | 50.0±16.1 | 20 (13/7) | BI | ||
| Zhou LL et al 2019 | 104 | G | 55.51±11.73 | 52 (32/20) | B | 55.28±11.89 | 52 (31/21) | FMA | ||
| Huang QS et al 2014 | 83 | H | 64.1±6.2 | 42 (31/11) | B | 63. 6±5. 8 | 41 (27/14) | FMA, BI | ||
Table 1 Basic features of included studies
| Study | n | Experimental group | Control group | Evaluation index | ||||||
|---|---|---|---|---|---|---|---|---|---|---|
| t | Age | N (Male/Female) | t | Age | n (Male/Female) | |||||
| Liao HY et al 2021 | 38 | A | 58.19±4.92 | 19 (11/8) | B | 57.35±4.57 | 19 (10/9) | FMA, BI | ||
| Ta CF et al 2013 | 60 | A | 62.3±7.87 | 30 (18/12) | B | 63.1±7.04 | 30 (19/11) | FMA, BI | ||
| Li TS et al 2021 | 86 | A | 58.20±11.03 | 43 (25/18) | B | 57.31±10.1 | 43 (23/20) | FMA | ||
| Wang MG et al 2021 | 48 | A | 52.67±8.22 | 24 (13/11) | B | 52.36±7.84 | 24 (12/12) | FMA | ||
| Wang BY et al 2018 | 90 | A | 55.5±1.0 | 45 (30/15) | B | 55.5±1.0 | 45 (28/17) | FMA | ||
| Li J et al 2018 | 66 | A | 55.98±6.76 | 33 (19/14) | B | 56.57±6.09 | 33 (20/13) | FMA | ||
| Wang XY et al 2018 | 80 | A | 58.2±10.4 | 40 (21/19) | B | 57.8±9.8 | 40 (26/14) | FMA | ||
| Zhu LL et al 2020 | 80 | A | 64.2±1.3 | 40 (25/15) | B | 63.9±1.2 | 40 (24/16) | FMA | ||
| Liu X et al 2019 | 94 | A | 57±4 | 47 (25/22) | B | 57±4 | 47 (26/21) | FMABI | ||
| Lin B et al 2017 | 76 | A | 60.5±10.2 | 38 (24/14) | B | 58.1±11.3 | 38 (26/12) | FMA, BI | ||
| Wang HQ et al 2020 | 134 | A | 55.76±7.66 | 67 (46/21) | B | 57.69±7.9 | 67 (41/26) | FMA, | ||
| Li L et al 2021 | 60 | C | 57±12.81 | 30 (20/10) | B | 58.1±10.97 | 30 (19/11) | BI | ||
| Wang CH et al 2005 | 60 | C | 55.3±10.8 | 30 (23/7) | B | 54.7±10.2 | 30 (20/10) | FMA, BI | ||
| Mao Y et al 2018 | 104 | C | 60.28±12.23 | 52 | B | 60.28±12.23 | 52 | FMA | ||
| Dong RL et al 2021 | 90 | D | 64.70±5.41 | 45 (25/20) | B | 64.19±5.32 | 45 (23/22) | FMA, BI | ||
| Wu DH et al 2020 | 100 | E | 64.06±8.70 | 50 (34/16) | B | 64.11±8.67 | 50 (22/28) | BI | ||
| Chen MF et al 2015 | 90 | E | 54.48±3.27 | 45 (27/18) | B | 54.79±3.19 | 45 (30/15) | BI | ||
| Lian LL et al 2022 | 60 | E | 57.45±11.28 | 30 (16/14) | B | 56.15±12.93 | 30 (18/12) | FMA, BI | ||
| Huang CB et al 2021 | 68 | E | 54.03±11.29 | 34 (21/13) | B | 55.76±11.44 | 34 (19/15) | FMA, BI | ||
| Wang ZY et al | 86 | E | 50.5 | 44 (20/24) | B | 57.4 | 42 (19/23) | FMA, BI | ||
| Chen S et al 2022 | 68 | F | 67.53±2.71 | 34 (19/15) | B | 66.11±2.94 | 34 (20/14) | BI | ||
| Gui SZ et al 2019 | 70 | F | 60.9±7.6 | 35 (21/14) | B | 60.9±7.7 | 35 (22/13) | FMA, BI | ||
| Tang JY et al 2020 | 120 | F | 53.46±3.21 | 60 (32/28) | B | 53.09±2.97 | 60 (33/27) | FMA, BI | ||
| Xu L et al 2022 | 80 | G | 59.20±7.31 | 40 (25/15) | B | 59.47±7.27 | 40 (26/14) | BI | ||
| Zhang T et al 2016 | 40 | G | 51.2±16.5 | 20 (11/9) | B | 50.0±16.1 | 20 (13/7) | BI | ||
| Zhou LL et al 2019 | 104 | G | 55.51±11.73 | 52 (32/20) | B | 55.28±11.89 | 52 (31/21) | FMA | ||
| Huang QS et al 2014 | 83 | H | 64.1±6.2 | 42 (31/11) | B | 63. 6±5. 8 | 41 (27/14) | FMA, BI | ||
| Number | Code | Intervention |
|---|---|---|
| 1 | A | Acupuncture combined rehabilitation training |
| 2 | B | Rehabilitation training |
| 3 | C | Massage combined rehabilitation training |
| 4 | D | Moxibustion combined with rehabilitation training |
| 5 | E | Electroacupuncture combined rehabilitation training |
| 6 | F | Traditional Chinese Medicine therapy combined with rehabilitation training |
| 7 | G | Acupoint sticking therapy combined with rehabilitation training |
| 8 | H | Chinese herbal fumigation combined with rehabilitation training |
Table 2 Codes corresponding to intervention measures
| Number | Code | Intervention |
|---|---|---|
| 1 | A | Acupuncture combined rehabilitation training |
| 2 | B | Rehabilitation training |
| 3 | C | Massage combined rehabilitation training |
| 4 | D | Moxibustion combined with rehabilitation training |
| 5 | E | Electroacupuncture combined rehabilitation training |
| 6 | F | Traditional Chinese Medicine therapy combined with rehabilitation training |
| 7 | G | Acupoint sticking therapy combined with rehabilitation training |
| 8 | H | Chinese herbal fumigation combined with rehabilitation training |
| Intervention measure | FMA | BI | |||
|---|---|---|---|---|---|
| SUCRA | Sort | SUCRA | Sort | ||
| A | 77.9 | 1 | 65.7 | 3 | |
| C | 58.6 | 3 | 63.5 | 4 | |
| D | 45.0 | 5 | 50.2 | 5 | |
| E | 57.1 | 4 | 76.8 | 1 | |
| F | 39.3 | 6 | 27.8 | 7 | |
| G | 75.9 | 2 | 67.5 | 2 | |
| H | 32.0 | 7 | 41.5 | 6 | |
| B | 14.2 | 8 | 7.1 | 8 | |
Table 3 SUCRA probability ranking results of network Meta-analysis outcome measures
| Intervention measure | FMA | BI | |||
|---|---|---|---|---|---|
| SUCRA | Sort | SUCRA | Sort | ||
| A | 77.9 | 1 | 65.7 | 3 | |
| C | 58.6 | 3 | 63.5 | 4 | |
| D | 45.0 | 5 | 50.2 | 5 | |
| E | 57.1 | 4 | 76.8 | 1 | |
| F | 39.3 | 6 | 27.8 | 7 | |
| G | 75.9 | 2 | 67.5 | 2 | |
| H | 32.0 | 7 | 41.5 | 6 | |
| B | 14.2 | 8 | 7.1 | 8 | |
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