From: Circulating chemerin levels and gestational diabetes mellitus: a systematic review and meta-analysis
References | Study location | Study design | Case group | Control group | Chemerin measurement trimester | Average age of GDM patients (years) | Average BMI of GDM patients (kg/m2) | GDM criteria | Quality Score | ||
---|---|---|---|---|---|---|---|---|---|---|---|
Sample size | Chemerin (ng/mL) | Sample size | Chemerin (ng/mL) | ||||||||
Pfau, 2010 [18] | Germany | cross-sectional | 40 | 230.3 ± 42.4 | 80 | 217.6 ± 72.3 | Second | 33.0 | 24.9 | WC | 3 |
Barker, 2012 [19] | Australia | cross-sectional | 69 | 117.6 ± 29.1 | 62 | 124.2 ± 31.5 | Third | 35.2 | 28.2 | ADIPS | 6 |
Shao, 2015 [20] | China | cross-sectional | 20 | 83.75 ± 15.88 | 20 | 77.80 ± 24.49 | Third | 30.0 | 28.73 | IADPSG | 7 |
Ademoglu, 2015 [21] | Turkey | cross-sectional | 47 | 1.65 ± 0.17 | 32 | 1.57 ± 0.16 | Second | 30.2 | 31.3 | ADA | 4 |
Li, 2015 [22] | China | cross-sectional | 48 | 194.0 ± 103.4 | 42 | 135.8 ± 89.3 | Second | na | 27.7 | IADPSG | 4 |
Görkem, 2016 [23] | Turkey | cross-sectional | 76 | 3.64 ± 1.27 | 82 | 3.47 ± 0.61 | Second | 29.0 | 33.3 | C&C | 5 |
Pan, 2016 [24] | China | cross-sectional | 85 | 9.12 ± 0.75 | 85 | 6.47 ± 0.59 | Third | 28.1 | 23.6 | ADA | 5 |
Fatim, 2017 [25] | Pakistan | cross-sectional | 208 | 93.39 ± 45.43 | 300 | 14.35 ± 5.88 | Second | 27.3 | 24.8 | IADPSG | 4 |
Zhang, 2017 [26] | China | cross-sectional | 60 | 11.2 ± 1.17 | 60 | 5.76 ± 0.03 | Second | 29.1 | 38.7 | ESCPG & ACOG | 3 |
Yang a, 2017 [27] | China | cross-sectional | 19 | 146.6 ± 38.9 | 20 | 187.2 ± 46.8 | First | 26.8 | 22.7 | IADPSG | 6 |
Yang b, 2017 [27] | China | cross-sectional | 19 | 308.6 ± 56.4 | 20 | 227.5 ± 46.5 | Third | 26.8 | 25.7 | IADPSG | |
Gashlan a, 2017 [28] | KSA | cross-sectional | 25 | 7.21 ± 5.95 | 19 | 7.68 ± 5.93 | Second | 32.4 | 33.4 | WHO | 7 |
Gashlan b, 2017 [28] | KSA | cross-sectional | 26 | 6.57 ± 4.84 | 18 | 5.56 ± 3.90 | Third | 33.4 | 34.1 | WHO |