| Literature DB >> 24885458 |
Qingjun Pan, Yaning Li, Ling Ye, Zhenzhen Deng, Lu Li, Yongmin Feng, Weijing Liu, Huafeng Liu1.
Abstract
BACKGROUND: Geographical variation in lupus nephritis epidemiology may indicate important environmental factors contributions to the etiology of lupus nephritis. This paper first describes the epidemiology of biopsy-proven lupus nephritis in China by performing a systematic literature review and the possible social-environmental influential factors.Entities:
Mesh:
Year: 2014 PMID: 24885458 PMCID: PMC4013059 DOI: 10.1186/1471-2369-15-67
Source DB: PubMed Journal: BMC Nephrol ISSN: 1471-2369 Impact factor: 2.388
Basic information of the 41 studies which met the study validation criteria
| 1 | Xu YZ [ | 21.11 | 110.30 | 322 | 19.77 | 65.04 | | 1627 | 1999 | 2007 | 1.01 | 30.7 ± 15.1 |
| 2 | Luo Q [ | 22.35 | 113.46 | 76 | 12.40 | 60.80 | | 615 | 2000 | 2007 | 1.00 | F (33.1 ± 7.8), M (33.56 ± 13.3) |
| 3 | Mo WG [ | 22.47 | 108.20 | 309 | 20.61 | 80.26 | 5.44 | 1499 | 1999 | 2004 | 1.07 | 30.52 |
| 4 | Zhong HB [ | 26.02 | 117.36 | 95 | 10.41 | 53.07 | | 913 | 1993 | 2006 | 0.70 | 30.12 ± 15.37 |
| 5 | Chen JY [ | 26.02 | 119.18 | 31 | 11.52 | 62.00 | | 269 | 1998 | 2007 | 0.78 | 11-68 |
| 6 | Zhu CL [ | 26.34 | 106.42 | 25 | 25.00 | 80.65 | | 100 | 1999 | 2002 | 1.70 | 40.7 ± 28.3 |
| 7 | Li SR [ | 28.00 | 119.31 | 12 | 10.62 | 46.15 | | 113 | 1996 | 2004 | 1.05 | 36, 14-73 |
| 8 | Ke YJ [ | 28.00 | 121.20 | 20 | 17.70 | | | 113 | 2000 | 2002 | 0.61 | 32.8 |
| 9 | Xiang XQ [ | 28.12 | 113.00 | 87 | 7.18 | | | 1211 | 1989 | 2004 | | 35.16 (1989-1997) |
| 35.65 (2000-2004) | ||||||||||||
| 10 | Sun T [ | 29.33 | 106.32 | 46 | 9.41 | 54.76 | 4.75 | 489 | 2004 | 2005 | 1.39 | 32 ± 16 |
| 11 | Shi XD [ | 30.15 | 119.14 | 82 | 12.26 | 55.78 | | 669 | 1992 | 2001 | 1.42 | 9-79 |
| 12 | Xu YC [ | 30.39 | 104.05 | 15 | 11.00 | 53.57 | | 140 | 2000 | 2003 | 0.94 | 40.5, 13-70 |
| 13 | Liu K [ | 31.12 | 121.29 | 21 | 19.63 | 63.64 | | 107 | 2003 | 2005 | 1.55 | 32.9 |
| 14 | Yu JP [ | 31.12 | 121.29 | 17 | 9.60 | | | 177 | 1994 | 1999 | 0.86 | 34.47 |
| 15 | Chen HP [ | 31.20 | 118.50 | 1319 | 12.45 | 74.14 | | 10594 | 1979 | 2000 | 0.97 | 31.4 ± 13 |
| 16 | Peng YP [ | 31.51 | 114.52 | 19 | 10.80 | 67.40 | | 176 | 2000 | 2004 | 1.29 | 38, 13-74 |
| 17 | Wang T [ | 32.03 | 118.50 | 44 | 5.47 | 34.92 | | 805 | 2003 | 2008 | 0.98 | 36.12 ± 16.08 |
| 18 | Fan YL [ | 33.96 | 116.23 | 6 | 5.66 | | | 106 | 1989 | 1992 | 0.58 | 32, 13-60 |
| 19 | Du JL [ | 34.15 | 110.54 | 220 | 14.27 | 53.14 | 14.7 | 1542 | 2000 | 2004 | 0.65 | 33.5 ± 11.8 (LN) |
| 20 | Shi J [ | 34.15 | 110.54 | 6 | 2.37 | 11.76 | | 253 | 2005 | 2008 | 0.85 | 32 ± 16 |
| 21 | Wang HX [ | 34.16 | 117.11 | 40 | 11.36 | 41.70 | | 352 | 1998 | 2007 | 1.10 | 38 ± 9.5 |
| 22 | Li SK [ | 34.16 | 117.11 | 59 | 7.94 | 38.82 | 4.36 | 743 | 2005 | 2008 | 0.79 | 30.09 ± 14.19 |
| 23 | Wang YT [ | 34.44 | 113.53 | 38 | 4.13 | 27.74 | | 919 | 1996 | 2008 | 0.81 | 33.1 ± 14.1, 16-72 |
| 24 | Zhao ZZ [ | 34.44 | 113.42 | 60 | 14.56 | 54.55 | | 412 | 2001 | 2003 | 0.98 | 6-69 |
| 25 | Li XY [ | 34.44 | 114.51 | 9 | 6.25 | 28.10 | | 144 | 1999 | 2004 | 1.18 | 9-72 |
| 26 | Zhou SY [ | 36.03 | 103.49 | 49 | 4.08 | 50.00 | | 1202 | 1994 | 2006 | 0.94 | 31.54 |
| 27 | Zheng CX [ | 36.63 | 114.47 | 33 | 7.04 | 31.43 | | 469 | 2000 | 2008 | 0.85 | 34.6, 9-78 |
| 28 | Huo J [ | 37.51 | 112.34 | 72 | 5.62 | 27.20 | | 1281 | 1993 | 2006 | 0.77 | 31.6 ± 13.3, 6-74 |
| 29 | Wang YM [ | 38.03 | 115.28 | 14 | 5.22 | 26.92 | | 268 | 2004 | 2009 | 0.97 | 35 ± 18, 13-76 |
| 30 | Zhao CX [ | 38.03 | 116.83 | 6 | 3.16 | 20.00 | | 190 | 2004 | 2006 | 0.92 | 30.3, 11-67 |
| 31 | Ding XG [ | 39.36 | 118.11 | 21 | 5.80 | 37.49 | | 362 | 2005 | 2007 | 0.88 | 34.3 ± 8.2, 11-70 |
| 32 | Zhang YP [ | 39.54 | 116.28 | 142 | 7.27 | 37.10 | 4.46 | 1954 | 1987 | 1999 | 0.50 | 33.2 ± 13, 15–73 |
| 33 | Wang WX [ | 39.54 | 116.28 | 13 | 12.50 | 38.24 | | 104 | 1989 | 1994 | 0.51 | 13-70 |
| 34 | Liu WX [ | 39.54 | 116.28 | 11 | 11.00 | 50.00 | | 100 | 2002 | 2008 | 0.82 | 36.2 ± 14.3, 6-65 |
| 35 | Hou XY [ | 40.48 | 111.41 | 10 | 4.61 | 71.43 | | 217 | 2004 | 2009 | 0.75 | 31.8 ± 10.6, 9-70 |
| 36 | Wang CH [ | 40.48 | 116.21 | 40 | 15.27 | 48.78 | | 262 | 2005 | 2008 | 0.76 | 37.82 ± 15.51, 12-74 |
| 37 | Li YQ [ | 41.48 | 123.24 | 91 | 7.03 | 48.37 | 7.5 | 1295 | 1997 | 2004 | 0.77 | 3.62 ± 8.53, 8-76 |
| 38 | Feng W [ | 43.46 | 87.36 | 87 | 5.80 | 34.25 | | 1500 | 1993 | 2007 | 0.97 | 31.4 ± 13, 9-70 |
| 39 | Yue H [ | 43.46 | 87.36 | 12 | 5.05 | 41.26 | | 237 | 1999 | 2005 | 0.85 | 35.6 ± 14, 7-74 |
| 40 | Wang LY [ | 43.55 | 125.19 | 53 | 10.60 | 43.09 | | 500 | 1984 | 2004 | 0.66 | 39.8 ± 3, 7-74 |
| 41 | Jiang GT [ | 45.45 | 126.41 | 61 | 11.19 | 64.20 | 5.8 | 545 | 2003 | 2005 | 1.27 | 1.7 ± 12.6, 8-64 |
Abbreviation: latitude (Lat.), Longitude (Long.); Femal (F), Male (M), Referance (Ref.), Number (No.).
Figure 1The characteristics of the study centers included in the analyses. The distribution of the studies in China (A), the study period, from the beginning to the end, for all renal diseases (B), the ratio of the number of females to males in all cases of renal disease (C) and the ratio of the number of females to males in LN disease (D).
Figure 2The correlation between the geographical distribution and the proportion of biopsy-proven LN. The incidence of LN in all renal diseases was correlated with the geographic latitude (A), the incidence of LN in secondary glomerular diseases (SGD) correlated with geographic longitude (B), the incidence of LN in all renal diseases correlated with the geographic latitude (C) and the incidence of LN in secondary glomerular diseases (SGD) with the geographic longitude (D).
Figure 3The possible influential factors. Population density of China (A); The distribution of Chinese ethnic groups (B); Ratio of females to males in different regions of China (C); Average sunshine per year in different regions of China (D); Annual average temperature (E); Annual relative humidity of China (F).