From: Meta-analysis of the association between interleukin-17 and ischemic cardiovascular disease
Author, Year | Design | Area | Disease | Sample | Sex(M/F) | Age(Year) | IL-17 concentration | Methods | |||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Case | Control | Case | Control | Case | Control | Case | Control | Unit | |||||
Sheng Liu 2022 [14] | CCS | China | CHD | 393 | 109 | 293/100 | 55/54 | 60.2 ± 10.3 | 59.1 ± 9.6 | 4.19 (1.97–9.06) | 4.22 (2.50–7.81) | pg/ml | FCM |
Hanmei Lu 2022 [15] | CCS | China | CHD | 150 | 50 | 113/37 | 38/12 | 61.7 ± 9.4 | 60.1 ± 4.0 | 58.6(42.3–85.5) | 43.6 (33.4–53.9) | pg/ml | ELISA |
Mateusz G 2014 [16] | CCS | United States | CI | 43 | 26 | 18/25 | 10/16 | 70.0 (60.0, 73.0) | 55.5 (50.2, 61.0) | 7.01 ± 2.30 | 4.78 ± 3.10 | pg/ml | FCM |
Maria del 2013 [17] | CCS | German | AMI | 20 | 20 | 12/8 | 12/8 | 68 (47, 92) | 63 (43, 86) | 271.9 ± 158 | 22.75 ± 7.16 | pg/ml | FCM |
Qing Li 2013 [18] | CCS | China | CI | 37 | 30 | 22/15 | 18/12 | 61.9 ± 15.8 | 57.6 ± 16.5 | 54.87 ± 12.13 | 16.40 ± 3.81 | pg/ml | ELISA |
Satwat Hashmi 2006 [19] | CCS | China | CHD | 58 | 20 | 44/14 | 14/6 | 56.2 ± 11.6 | 51.7 ± 7.2 | 340.3 ± 162.75 | 257.16 ± 71.37 | pg/ml | ELISA |