Prevalence and influencing factors of nonunion in patients with tibial fracture: systematic review and meta-analysis

Tian, Ruifeng; Zheng, Fang; Zhao, Wei; Zhang, Yuhui; Yuan, Jinping; Zhang, Bowen; Li, Liangman

doi:10.1186/s13018-020-01904-2

Journal of Orthopaedic Surgery and Research

Table 1 The basic information and prevalence of tibia fracture nonunion in each included study

From: Prevalence and influencing factors of nonunion in patients with tibial fracture: systematic review and meta-analysis

Author	Year	Country	Age	Male	Female	Number of tibia fracture	Number of nonunion	Prevalence
Su CA [31]	2018	USA	40.4	225	102	284	19	0.067
Mehta D [32]	2018	USA	35.2	29	11	40	4	0.100
Milenkovic S [33]	2018	USA	43.5	20	12	32	6	0.188
Chang BS [34]	2018	China	23-57	38	26	60	7	0.117
Liu BQ [35]	2018	China	36.1	46	5	51	3	0.059
Zhang JS [36]	2018	China	49.4	60	34	94	5	0.053
Zhang QL [37]	2018	China	35	50	36	86	0	0.000
Yu JQ [38]	2018	China	42.4	65	39	94	5	0.053
Jin PF [39]	2018	China	57.6	90	107	197	26	0.132
Ge Y [40]	2018	China	39.3	50	42	92	2	0.022
Fang YS [41]	2018	China	45.2	49	13	62	1	0.016
Li J [42]	2018	China	35.5	46	39	70	2	0.029
Xu DY [43]	2018	China	40.9	38	26	64	3	0.047
Li ZT [44]	2018	China	52.4	48	42	90	1	0.011
Dailey HL [45]	2018	UK		739	264	1003	121	0.121
Singh A [46]	2018	Singapore	38.2	101	2	103	44	0.427
Galal S [47]	2018	Egypt	37.2	52	8	60	2	0.033
Javdan M[48]	2017	USA				231	12	0.052
Auston DA [49]	2017	USA	42	184	131	315	17	0.054
Zura R [50]	2017	USA	18-63	6273	6535	12808	944	0.074
Thakore RV [15]	2017	USA	36	364	102	486	56	0.115
Chan DS [51]	2017	USA	44	82	32	114	24	0.211
Xiong SR [52]	2017	China	42.5	82	66	148	8	0.054
Javdan M [48]	2017	Iran	35.9	45	4	49	3	0.061
BeytemürÔ [53]	2017	Turkey	40.6	52	21	73	1	0.014
Daolagupu AK [54]	2017	India	37.14	32	10	42	3	0.071
Garg S [55]	2017	India	38.9	5	31	36	4	0.111
Mukherjee S [56]	2017	India	40.3	26	14	40	3	0.075
Blair JA [57]	2016	USA	42.2	156	28	184	16	0.087
Burrus MT [16]	2016	USA		8132	6506	14,638	1758	0.120
Avilucea FR [58]	2016	USA	40.6	162	54	216	29	0.134
O'Halloran K [19]	2016	USA	39.3	93	289	382	56	0.147
Barcakë [59]	2016	USA				64	5	0.078
Shen J [60]	2016	China	45	54	71	125	0	0.000
Fang JH [61]	2016	China	36.8	40	16	56	2	0.036
Hao LS [62]	2016	China	19-67	67	15	82	2	0.024
Hu H [63]	2016	China	36.7	30	22	52	1	0.019
Liu JQ [64]	2016	China	43.2	44	16	60	1	0.017
Rao HR [65]	2016	China	35.7	35	15	50	2	0.040
Bai T [66]	2016	China	36.8	43	17	60	4	0.067
Zhao KP [67]	2016	China	35.6	41	17	58	1	0.017
Uchiyama Y [68]	2016	Japan	41.9	77	8	85	3	0.035
Gupta P [69]	2016	India	42.7	22	8	30	1	0.033
Piątkowski K [70]	2015	USA	49.5	24	17	45	12	0.267
Sun KF [71]	2015	China	43.1	32	20	115	7	0.061
Sun JQ [72]	2015	China	48	35	21	56	7	0.125
Ma N [73]	2015	China	45.4	334	246	580	82	0.141
Huang H [74]	2015	China	17-65	52	44	96	5	0.052
Huang PZ [75]	2015	China	32	43	13	56	1	0.018
Zhang YH [76]	2015	China	36.5	49	21	70	2	0.029
Luo BX [77]	2015	China	38.5	47	31	78	1	0.013
Wang B [78]	2015	China	41.2	39	33	72	2	0.028
Cui LH [79]	2015	China	37.5	53	21	74	2	0.027
Meng YH [80]	2015	China	31.6	19	35	54	1	0.019
Gong Y [81]	2015	China	16-39	38	32	70	11	0.157
Lian HK [82]	2015	China	35.1	51	43	94	4	0.043
Meena RC [83]	2015	India	37.5	32	12	44	2	0.045
Sathiyakumar V [84]	2014	USA	37.5	63	30	93	17	0.183
Li Y [85]	2014	China.	43.3	116	5	121	2	0.017
Dai QH [86]	2014	China	34.5	23	19	42	0	0.000
Wu ZH [87]	2014	China	48.5	32	18	50	1	0.020
Li ZZ [88]	2014	China	43.8	76	44	60	5	0.083
Ren Y [89]	2014	China	34.7	49	21	70	4	0.057
Luan HX [90]	2014	China	37.1	78	20	98	6	0.061
Zhang WJ [91]	2014	China	44	43	25	68	3	0.044
Heng WX [92]	2014	China	18-79	45	23	68	4	0.059
Yavuz U [93]	2014	Turkey	42	32	23	55	3	0.055
Lack WD [94]	2014	USA	45	92	71	163	13	0.080
Berlusconi M [95]	2014	Italy	45	42	18	60	5	0.083
Antonovaë [6]	2013	USA	52.5	378	475	853	99	0.116
Huang Q [96]	2013	China	36.9	80	40	120	3	0.025
Gong M [97]	2013	China	40.3	41	11	52	2	0.038
Lv YM [98]	2013	China	39.1	77	34	111	6	0.054
Xu YD [99]	2013	China	39	105	58	163	2	0.012
Clement ND [100]	2013	UK	77.9	63	170	233	23	0.099
Sitnik AA [101]	2013	Belarus	43	54	26	80	7	0.088
Yusof NM [102]	2013	Malaysia	24.5	52	6	58	10	0.172
Bishop JA [103]	2012	USA				32	1	0.031
Lin ZF [104]	2012	China	36.6	222	194	416	33	0.079
Zhang H [105]	2012	China	39.6	58	38	96	1	0.010
Jia QT [106]	2012	China	36	61	27	88	4	0.045
Zhou JL [107]	2012	China	53	43	9	52	10	0.192
Rouhani A [108]	2012	Iran	26.4	45	8	54	3	0.056
Vallier HA [109]	2011	USA	38.3	85	19	114	6	0.053
Zhu DK [110]	2011	China	18-76	53	31	84	3	0.036
Zhao DL [111]	2011	China	37.8	54	26	80	1	0.013
Liu F [112]	2011	China	32.6	32	14	46	4	0.087
Enninghorst N [113]	2011	Australia	42.4	66	23	89	26	0.292
Xu JQ [114]	2009	China	36.3	121	49	170	8	0.047
Li ZG [115]	2009	China	35.8	71	56	127	3	0.024
Mahmudi N [116]	2009	China	37	34	10	44	3	0.068
Deng HP [117]	2009	China	40.3	51	34	85	4	0.047
Dong JH [118]	2009	China	18-74	77	51	128	2	0.016
Fu KL [119]	2009	China				112	11	0.098
Zhou L [120]	2009	China	37.9	52	41	93	5	0.054
Lang ZY [121]	2009	China	33.6	51	16	67	2	0.030
Wu C [122]	2009	China	19-71	25	12	37	2	0.054
Li QM [123]	2009	China	37.6	168	51	219	6	0.027
Yokoyama K [124]	2008	Japan	34.6	70	14	84	17	0.202
Aderinto J [125]	2008	UK				54	3	0.056
Lu HY [126]	2007	China	34.5	158	98	256	9	0.035
Hu GZ [127]	2007	China	33.4	301	116	396	11	0.028
Zeng CJ [128]	2006	China	30.7	390	264	541	14	0.026
Zhang YL [129]	2006	China	35	73	25	98	9	0.092
Zhao XZ [130]	2006	China	43.8	52	26	78	5	0.064
Zhu GH [131]	2005	China	34	55	23	78	5	0.064
Harris I [132]	2005	Australia	34	124	39	163	13	0.080
Cole PA [133]	2004	USA				89	2	0.022
Bonnevialle P [134]	2003	France	40.8	34	15	49	8	0.163
Harvey EJ [135]	2002	Canada				110	13	0.118
Keating J [136]	1997	USA				112	9	0.080

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