Background
Methods
Search strategy and study selection
Quality assessment and data extraction
Statistical analysis
Results
Interleukins | Author | Country(incidence) | Year | Cut-off (pg/ml) | Index test | Design |
---|---|---|---|---|---|---|
IL-27 | Wu et al. [16] | China (high) | 2013 | 900.8 | ELISA | P |
Liu et al. [42] | China (high) | 2015 | 1012 | ELISA | R | |
Luo et al. [27] | China (high) | 2015 | 353.47 | ELISA | R | |
Skouras et al. [46] | Greece (low) | 2015 | 391 | ELISA | NA | |
Sun et al. [29] | China (high) | 2014 | 838 | ELISA | R | |
Valdes et al. [31] | Spain (low) | 2014 | 550 | ELISA | P | |
Yang et al. [50] | China (high) | 2012 | 1007 | ELISA | P | |
Niu et al. [38] | China (high) | 2012 | 846 | ELISA | R | |
IL-18 | Chen et al. [17] | China (high) | 2011 | 843.7 | ELISA | R |
Dai et al. [18] | China (high) | 2015 | 503.58 | ELISA | R | |
Ding et al. [19] | China (high) | 2008 | 640 | ELISA | R | |
Hu et al. [21] | China (high) | 2009 | 365 | ELISA | R | |
Jiang et al. [22] | China (high) | 2009 | 503.88 | ELISA | R | |
Klimiuk et al. [39] | Poland (low) | 2014 | 327.7 | ELISA | P | |
Liu et al. [43] | China (high) | 2015 | 438.86 | ELISA | R | |
Okamoto et al. [44] | Japan (low) | 2005 | 992.7 | ELISA | NA | |
Wang et al. [47] | China (high) | 2008 | 358 | ELISA | R | |
Wu et al. [33] | China (high) | 2006 | 150 | ELISA | R | |
Xiong et al. [34] | China (high) | 2007 | 358 | ELISA | R | |
Yu et al. [51] | China (high) | 2003 | 150 | ELISA | NA | |
IL-6 | Kiropoulos et al. [24] | Greece (low) | 2007 | 17,215 | ELISA | P |
Wang et al. [32] | China (high) | 2005 | 1950 | ELISA | R | |
Wong et al. [48] | China (high) | 2003 | 4000 | ELISA | P | |
Wu et al. [49] | China (high) | 2005 | 550 | ELISA | R | |
Zan et al. [35] | China (high) | 2014 | 277 | RIA | NA | |
Yang et al. [37] | China (high) | 2006 | 220 | RIA | R | |
IL-33 | Lee et al. [26] | Korea (low) | 2013 | 10 | ELISA | R |
Li et al. [40] | China (high) | 2015 | 68.3 | ELISA | R | |
Liu et al. [42] | China (high) | 2015 | 19.31 | ELISA | R | |
Xuan et al. [36] | China (high) | 2014 | 19.86 | ELISA | R | |
IL-12 | Chen et al. [17] | China (high) | 2011 | 785.6 | ELISA | R |
Gu et al. [20] | China (high) | 2002 | 300 | ELISA | NA | |
Jiang et al. [23] | China (high) | 2010 | 87.41 | ELISA | R | |
Okamoto et al. [44] | Japan (low) | 2005 | 129 | ELISA | NA | |
Tian et al. [28] | China (high) | 2004 | 73.5 | ELISA | R | |
Zhou et al. [53] | China (high) | 2012 | 90 | ELISA | R | |
IL-2 | Liu et al. [43] | China (high) | 2015 | 67.17 | ELISA | R |
Liu et al. [42] | China (high) | 2015 | 99.08 | ELISA | R | |
Ren et al. [25] | China (high) | 2014 | 41.91 | ELISA | R | |
Wu et al. [49] | China (high) | 2005 | 250 | ELISA | R | |
Zhang et al. [52] | China (high) | 1998 | 400 | RIA | R | |
IL-12p40 | Fernández et al. [41] | Venezuela (low) | 2011 | 89 | ELISA | NA |
Klimiuk et al. [39] | Poland (low) | 2014 | 296 | ELISA | P | |
Tural Önür et al. [45] | Turkey (low) | 2015 | 210 | ELISA | NA | |
Valdes et al. [30] | Spain (low) | 2009 | 550 | ELISA | P | |
IL-8 | Yamada et al. [57] | Japan (low) | 2001 | 228 | ELISA | R |
Yang et al. [56] | China (high) | 2001 | 1000 | ELISA | R | |
IL-10 | Wu et al. [49] | China (high) | 2005 | 50 | ELISA | R |
IL-22 | Jin et al. [58] | China (high) | 2011 | 49 | ELISA | R |
Yuan et al. [55] | China (high) | 2014 | 186.6 | ELISA | R | |
IL-23 | Klimiuk et al. [39] | Poland (low) | 2014 | 0.7 | ELISA | P |
IL-31 | Gao et al. [54] | China (high) | 2015 | 67.5 | ELISA | R |
Study characteristics
Interleukins | Author | Subjects | TP | FP | FN | TN |
---|---|---|---|---|---|---|
IL-27 | Wu et al. [16] | 81 | 38 | 1 | 2 | 40 |
Liu et al. [42] | 147 | 88 | 3 | 7 | 49 | |
Luo et al. [27] | 62 | 32 | 1 | 2 | 27 | |
Skouras et al. [46] | 121 | 8 | 10 | 2 | 101 | |
Sun et al. [29] | 76 | 38 | 1 | 2 | 35 | |
Valdes et al. [31] | 431 | 64 | 54 | 6 | 307 | |
Yang et al. [50] | 174 | 63 | 1 | 5 | 105 | |
Niu et al. [38] | 44 | 23 | 1 | 0 | 20 | |
IL-18 | Chen et al. [17] | 64 | 28 | 4 | 6 | 26 |
Dai et al. [18] | 52 | 21 | 2 | 2 | 27 | |
Ding et al. [19] | 72 | 33 | 2 | 1 | 36 | |
Hu et al. [21] | 102 | 48 | 3 | 4 | 47 | |
Jiang et al. [22] | 60 | 26 | 2 | 4 | 28 | |
Klimiuk et al. [39] | 203 | 27 | 20 | 17 | 139 | |
Liu et al. [43] | 80 | 36 | 3 | 4 | 37 | |
Okamoto et al. [44] | 43 | 4 | 1 | 7 | 31 | |
Wang et al. [47] | 44 | 17 | 2 | 2 | 23 | |
Wu et al. [33] | 48 | 20 | 2 | 4 | 22 | |
Xiong et al. [34] | 86 | 41 | 3 | 5 | 37 | |
Yu et al. [51] | 52 | 30 | 0 | 2 | 20 | |
IL-6 | Kiropoulos et al. [24] | 97 | 22 | 17 | 3 | 55 |
Wang et al. [32] | 71 | 33 | 2 | 1 | 35 | |
Wong et al. [48] | 66 | 29 | 8 | 3 | 26 | |
Wu et al. [49] | 109 | 31 | 9 | 25 | 44 | |
Zan et al. [35] | 56 | 30 | 5 | 12 | 9 | |
Yang et al. [37] | 54 | 20 | 2 | 2 | 30 | |
IL-33 | Lee et al. [26] | 220 | 47 | 56 | 13 | 104 |
Li et al. [40] | 87 | 27 | 16 | 5 | 39 | |
Liu et al. [42] | 147 | 82 | 5 | 13 | 47 | |
Xuan et al. [36] | 44 | 20 | 2 | 3 | 19 | |
IL-12 | Chen et al. [17] | 64 | 30 | 5 | 4 | 25 |
Gu et al. [20] | 52 | 27 | 5 | 5 | 25 | |
Jiang et al. [23] | 60 | 22 | 3 | 8 | 27 | |
Okamoto et al. [44] | 43 | 6 | 1 | 5 | 31 | |
Tian et al. [28] | 190 | 120 | 17 | 21 | 32 | |
Zhou et al. [53] | 73 | 31 | 8 | 14 | 20 | |
IL-2 | Liu et al. [43] | 80 | 25 | 6 | 15 | 34 |
Liu et al. [42] | 147 | 53 | 18 | 42 | 34 | |
Ren et al. [25] | 88 | 39 | 4 | 3 | 42 | |
Wu et al. [49] | 109 | 34 | 21 | 22 | 32 | |
Zhang et al. [52] | 69 | 23 | 6 | 4 | 36 | |
IL-12p40 | Fernández et al. [41] | 60 | 11 | 20 | 9 | 20 |
Klimiuk et al. [39] | 203 | 38 | 44 | 6 | 115 | |
Tural Önür et al. [45] | 120 | 42 | 27 | 10 | 41 | |
Valdes et al. [30] | 96 | 36 | 17 | 3 | 40 | |
IL-8 | Yamada et al. [57] | 70 | 17 | 14 | 4 | 35 |
Yang et al. [56] | 64 | 38 | 4 | 2 | 20 | |
IL-10 | Wu et al. [49] | 109 | 46 | 7 | 20 | 36 |
IL-22 | Jin et al. [58] | 56 | 23 | 1 | 5 | 27 |
Yuan et al. [55] | 87 | 47 | 7 | 5 | 28 | |
IL-23 | Klimiuk et al. [39] | 203 | 13 | 66 | 31 | 93 |
IL-31 | Gao et al. [54] | 71 | 33 | 0 | 7 | 31 |
Determination of statistical pooling model
interleukins | I2 for heterogeneity in InDOR(%) | Spearman’s coefficient | Egger test P value | Deeks test P value |
---|---|---|---|---|
IL-27 | 53.5 | −0.467 | 0.101 | 0.57 |
IL-18 | 61.7 | −0.511 | 0.5 | 0.73 |
IL-6 | 77.8 | −0.657 | 0.532 | 0.66 |
IL-33 | 77.7 | −1.00 | 0.359 | 0.54 |
IL-12 | 34.3 | 0.493 | 0.029 | 0.23 |
IL-2 | 88.4 | −0.900 | 0.17 | 0.18 |
IL-12p40 | 83.2 | −0.800 | 0.9 | 0.34 |
Diagnostic accuracy
Interleukins | sensitivity(95%CI) | specificity(95%CI) | DOR | AUC | PLR | NLR |
---|---|---|---|---|---|---|
IL-27 | 0.93(0.90–0.95) | 0.95(0.90–0.98) | 264 | 0.95 | 19.5(9.4–40.5) | 0.07(0.05–0.11) |
IL-18 | 0.87(0.79–0.92) | 0.92 (0.88–0.95) | 76 | 0.95 | 10.8 (7.2–16.3) | 0.14(0.09–0.23) |
IL-6 | 0.86(0.70–0.94) | 0.84(0.74–0.90) | 30 | 0.90 | 5.2(3.0–9.1) | 0.17(0.07–0.41) |
IL-33 | 0.84(0.77–0.89) | 0.80(0.65–0.89) | 20 | 0.88 | 4.2(2.21–7.9) | 0.20(0.13–0.32) |
IL-12 | 0.78(0.69–0.84) | 0.83(0.72–0.91) | 17 | 0.86 | 4.6(2.8–7.8) | 0.27(0.20–0.37) |
IL-2 | 0.67(0.61–0.73) | 0.76(0.70–0.82) | 11 | 0.86 | 3.4(1.7–6.8) | 0.36(0.20–0.66) |
IL-12p40 | 0.82(0.66–0.91) | 0.65(0.54–0.74) | 8 | 0.76 | 2.3(1.6–3.4) | 0.28(0.13–0.61) |