Table 1 General characteristics of the included studies
Author | Year | Study Design | Country | Biomarker | Sample | Gender | Age (years) |
|---|---|---|---|---|---|---|---|
Salek et al. [27] | 2010 | Case-control | Dhakar | Metabolism | FSG = 30 CG = 30 | Male and female | FSG = 56.77 ± 8.07 CG = 56.77 ± 8.07 |
Kabbabe et al. [28] | 2010 | Case-control | Australia | Inflammation | Gfs = 13 Gc = 10 | Male and female | Not specified |
Xu et al. [29] | 2012 | Basic science study, Molecular Biology | Australia | Inflammation | FSG = 8 RTCG = 10 | Male and female | FSG = 58 ± 2.25 RTCG = 51 ± 12.5 |
Kim et al. [30] | 2013 | Basic science study, Molecular Biology | Korea | Inflammation | FSG = 13 CG = 6 | Male and Female | FSG = 52.6 ± 7.25 CG = 40.1 ± 9.75 |
Lubis et al. [31] | 2013 | Biology | Indonesia | Inflammation | FSG = 50 CG = 50 | Male AND female | FSG = 49.5 ± 10 CG = 53.5 ± 6 |
Lho et al. [32] | 2013 | Basic science study, molecular and cell | Korea | Inflammation | GFS = 14 GC = 7 | Male AND female | Not specified |
Sung et al. [33] | 2014 | Case-control | Korea | Metabolism | Fsg = 300 Gc = 900 | Male AND female | FSG = 54.01 ± 8.4 CG = 54.01 ± 8.47 |
Schiefer et al.[34] | 2017 | Case-control | Brazil | Metabolism | FSG = 93 CG = 151 | Male and female | FSG = 56.26 ± 8.61 CG = 52.32 ± 17.23 |
Safran et a l[35] | 2017 | Case series | Israel | Metabolism | GFS = 50 | Male and Female | FSG = 51 ± 5.4 |
Chan et al. [36] | 2017 | Case series, prognosis | USA | METABOLISM | FSG = 197 CG = 4795 | Male and female | FSG = 62.0 ± 18.8 CG = 62.0 ± 18.8 |
Chen A et al. [37] | 2017 | Case-control | UK | Inflammation | FSG = 42 CG = 50 | Male and female | FSG = 53.86 ± 1.60 CG = 54.80 ± 2.58 |
Yano et al. [38] | 2020 | Basic Science; Molecular and Cell Biology | Japan | Inflammation | FSG = 33 RCTG = 25 | Male and female | FSG: 62.0 ± 7.3 RCTG: 56.4 ± 5.8 |
Park et al. [39] | 2020 | Prognostic study: case and control | Korea | Metabolism | FSG = 151 CG = 453 | Male and female | FSG = 52.1 ± 7.2 CG = 52.1 ± 7.2 |
Mertens et al. [40] | 2024 | Cross-sectional | Belgium | Metabolism | FSG = 35 CG = 35 | Male and female | FSG = 53.40 ± 8.95 CG = 52.60 ± 6.93 |
Chen B et al. [41] | 2024 | Mendelian randomization | China | Metabolism | FSG = 28,416 (Biobank samples) | Male and Female | * As biobank samples, there is no age limit* |