| | Author | Year | CVD | Non-CVD | Mean differences
(95% CI) | | N | mean [48] | N | mean [48] |
| | Coronary artery disease | | | | | | |
| | Sonmez [10] | 2013 | 106 | 2.37 (0.89) | 69 | 2.03 (1.56) | 0.34 (-0.07, 0.75) | | Naz [11] | 2014 | 40 | 3.67 (1.62) | 20 | 1.61 (0.84) | 2.06 (1.44, 2.68) | | Mayyas [12] | 2014 | 60 | 2.61 (0.17) | 68 | 2.72 (0.19) | -0.11 (-0.17, -0.05) | | Sari [13] | 2015 | 100 | 3.70 (2.60) | 80 | 2.2 (1.7) | 1.50 (0.87, 2.13) | | Acar [15] | 2015 | 71 | 2.50 (0.70) | 90 | 1.90 (0.70) | 0.60 (0.38, 0.82) | | Gungoren [17] | 2015 | 261 | 2.73 (1.07) | 50 | 1.51 (0.42) | 1.22 (1.05, 1.39) | | Yu [18] | 2016 | 691 | 3.62 (2.70) | 251 | 2.14 (1.97) | 1.48 (1.16, 1.79) | | Perl [19] | 2016 | 170 | 3.44 (2.90) | 352 | 3.00 (2.50) | 0.44 (-0.16, 1.04) | | Uysal [21] | 2016 | 152 | 2.77 (0.23) | 42 | 1.97 (0.15) | 0.80 (0.74, 0.86) | | Yilmaz [22] | 2016 | 40 | 2.51(0.65) | 40 | 1.73 (0.71) | 0.78 (0.48, 1.08) | | Guo [24] | 2017 | 31 | 2.93(1.82) | 33 | 2.11 (0.79) | 0.82 (0.13, 1.52) | Sharma [25]
| 2017 | 225 | 5.60(4.50) | 99 | 4.30 (3.80) | 1.30 (0.35, 2.25) | | Korkmaz [26] | 2018 | 63 | 2.66(0.86) | 50 | 2.10 (0.53) | 0.56 (0.30, 0.82) |
| | USMD (95%CI) | | | | | | 0.87 (0.52, 1.22) |
| | Acute coronary syndrome | | | | | | |
| | Yu [18] | 2016 | 349 | 4.93 (3.15) | 251 | 2.14 (1.97) | 2.79 (2.38, 3.20) | | Nordestgaard [28] | 2008 | 133 | 4.77 (3.83) | 45 | 3.00 (1.60) | 1.77 (0.97, 2.57) | | Caimi [29] | 2015 | 123 | 2.38 (0.87) | 116 | 1.82 (0.71) | 0.56 (0.36, 0.76) | | Qiu [30] | 2016 | 38 | 8.10 (6.44) | 34 | 2.37 (1.19) | 5.73 (3.64, 7.82) | | Nalbant [31] | 2016 | 189 | 5.58 (6.60) | 95 | 5.10 (7.60) | 0.48 (-1.32, 2.28) |
| | USMD (95%CI) | | | | | | 2.12 (0.70, 3.53) |
| | Stroke | | | | | | |
| | Ertas [34] | 2013 | 39 | 5.60 (3.40) | 87 | 3.10 (2.10) | 2.50 (1.35, 3.66) | | Celikbilek [35] | 2014 | 70 | 2.97 (0.53) | 70 | 1.88 (0.40) | 1.09 (0.96, 1.23) | | Akil [36] | 2014 | 38 | 3.10 (2.00) | 47 | 1.80 (0.40) | 1.30 (0.65, 1.95) | | Wang [37] | 2015 | 50 | 1.40 (0.83) | 50 | 1.40 (0.41) | 0.00 (-0.26, 0.26) | | Köklü [38] | 2016 | 115 | 3.09 (0.23) | 139 | 2.23 (0.15) | 0.86 (0.81, 0.91) | | Long [40] | 2018 | 70 | 5.51 (8.02) | 140 | 3.60 (1.89) | 1.91 (0.01, 3.82) | | Abete [41] | 2018 | 51 | 2.30 (0.50) | 51 | 2.00 (0.30) | 0.30 (0.14, 0.46) | | Farah [42] | 2018 | 200 | 3.44 (2.56) | 30 | 1.89 (0.61) | 1.55 (1.13, 1.97) |
| | USMD (95% CI) | | | | | | 0.92 (0.60, 1.24) |
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