Table 1. Basic information of the included literature.
| First author and date of publication | Area | Sample size (C/T) |
Gender M/F |
Ages (C/T) |
Interventions (C/T) |
Duration(Week) | Outcome indicators |
|---|---|---|---|---|---|---|---|
| Sun Ya 2023 [11] |
China | 26/26 | 33/19 | 58.23±9.61/ 56.15±8.01 |
CT/ CT+RATOT |
6 | ①② |
| Gong Shunzhi 2023 [12] |
China | 32/32 | 35/29 | 63.18±3.21/ 63.24±3.35 |
CT/ CT+RATOT |
6 | ① |
| Du Binhong 2022 [13] |
China | 30/30 | 37/23 | 58.33±11.90/ 60.77±11.27 |
CT/ CT+RATOT |
4 | ①② |
| Su Lili 2022 [14] |
China | 30/30 | 29/31 | 65.53±5.46/ 64.97±2.26 |
CT/ CT+RATOT |
4 | ② |
| Lei Yufeng 2021 [15] |
China | 47/47 | 53/41 | 61.03±7.36/ 60.82±7.54 |
CT/ RATOT |
8 | ① |
| Fan Hong 2020 [16] |
China | 30/31 | 38/23 | 68.40±10.68/ 65.74±6.73 |
CT/ CT+RATOT |
4 | ② |
| Ye Zhengmao 2019 [17] |
China | 18/17 | 24/11 | 60.11±5.64/ 62.06±7.39 |
CT/ RATOT |
2 | ①② |
| Gao Hongliang 2023 [18] |
China | 18/17 | 22/13 | 52.33±11.44/ 53.11±11.43 |
CT/ CT+RATOT |
4 | ①② |
| Pang Wenjun 2015 [19] |
China | 17/17 | 22/12 | 70.00±6.75/ 67.41±7.70 |
CT/ CT+RATOT |
6 | ①② |
| Fu Zhen 2017 [20] |
China | 14/16 | 21/9 | 65.50±3.11/ 62.69±3.20 |
CT/ CT+RATOT |
2 | ①② |
| Yang Qiang 2019 [21] |
China | 35/35 | 43/27 | 67.04±4.21/ 66.39±4.18 |
CT/ CT+RATOT |
2 | ① |
| HE You-Ze 2023 [22] |
China | 16/16 | 22/10 | 56.75±9.54/ 58.38±10.81 |
CT/ CT+RATOT |
4 | ①② |
| Yu-wei Hsieh 2017 [23] |
China | 15/16 | 18/13 | 52.87±10.40/ 49.28±10.90 |
CT/ CT+RATOT |
4 | ① |
| Alexa B. Keeling 2021 [24] |
Canada | 10/9 | 17/2 | 57.70±15.10/ 54.33±15.60 |
CT/ RATOT |
2 | ① |
| Gloria Perini 2021 [25] |
Italy | 9/9 | 9/9 | 61.4±9/ 58.7±20.6 |
CT/ RATOT |
4 | ① |
aC: Control group; T: Experimental group; M: Male; F: Female; CT: (Conventional therapy); RATOT: (Robot-assisted task-oriented training); ①:FMA-UE; ②: MBI