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. 2021 Feb 27;24(3):159–168. doi: 10.1016/j.cjtee.2021.02.007

Table 1.

General information of the eligible studies.

Study (year) Patient (n) Age (year) Gender (male/female) Variables assessed Follow-up (month)
Maini et al.7 (2018) a, b, e unclear
 3D printing 10 37.9 9/1
 Conventional 11 40.5 9/2
Maini et al.8 (2018) a, b, e unclear
 3D printing 12 38.2 11/1
 Conventional 13 40.3 12/1
Huang et al.9 (2020) a, c, d, f 40
 3D printing 20 43.4 12/8
 Conventional 20 37.4 14/6
Wan et al.10 (2019) a, b, c, d, e, f 6
 3D printing 48 43.4 34/14
 Conventional 48 41.5 32/16
Chen et al.11 (2019) a, b, e, f unclear
 3D printing 28 46.1 18/10
 Conventional 24 42.3 14/10
Liu et al.12 (2017) a, b, c, d, e, f 15
 3D printing 19 37.6 12/7
 Conventional 34 37.4 23/11
Zhang et al.13 (2016) a, b, c, d, e, f 20
 3D printing 53 41.2 36/17
 Conventional 68 42.6 42/26
Wang et al.14 (2016) a, b, c, d, e 11
 3D printing 15 45.1 7/8
 Conventional 19 43.7 11/8
Zhang et al.15 (2020) a, b 12
 3D printing 12 38 7/5
 Conventional 13 40.0 7/6

Variables assessed: a. operation time, b. intraoperative bleeding volume, c. intraoperative fluoroscopy times, d. total incidence of complications, e. the excellent and good rate of Matta score for reduction, f. the excellent and good rate of postoperative hip joint function.