| First author (year) | Study design | Country | MetS (% female) | Control (% female) | Age mean ± SD, median (IQR/range) | Comorbidity | MetS criteria | VAI cut-off values | Area under the curve (CI 95, value) |
| Adejumo (2019) | Cross-sectional | Nigeria | 123 (81.3%) | 412 (70.1%) | 47.04 ± 14.70 | | IDF | 0.84 (M) 1.15 (F) | 0.687 (0.587–0.786) (M) 0.745 (0.684–0.805) (F) |
| Al-Batsh (2018) | Cross-sectional | Jordan | 59 | 29 | 49.78 ± 11.21 | | IDF | NR | NR |
| Al-Daghri (2015) | Cohort | Saudi Arabia | 3317 | 3504 | 43.07 ± 15.70 | | IDF | NR | 0.814 (0.80–0.829), (2008) 0.837 (0.82–0.853), (2013) |
| Amato (2011) | Cross-sectional | Italy | NR | NR | 47.80 ± 18.28 | | ATP-III | 2.52 (<30 years) 2.23 (30, <42) 1.92 (42, <52) 1.93 (52, <66) 2.00 (66≤) | 0.997 ± 0.003 (<30 years) 0.898 ± 0.061 (30, <42) 0.852 ± 0.037 (42, <52) 0.840 ± 0.028(52, <66) 0.783 ± 0.025 (66≤) for all groups |
| Anık İlhan (2019) | Cross-sectional | Turkey | 63 (100%) | 137 (100%) | 52.06 ± 5.82 | Postmenopausal women | ATP-III | 2.04 | 0.88 (0.83–0.94), NR |
| Barazzoni (2018) | Cohort | Italy | 492 | 1453 | 49 ± 13 | | ATP-III | NR | NR |
| Baveicy (2020) | Cross-sectional | Iran | NR | NR | 48.14 ± 8.25 | | IDF | 4.28 (M) 4.11 (F) | 0.86 (0.85–0.87) (M) 0.82 (0.81–0.84) (F) for all groups |
| Bil (2016) | Cross-sectional | Turkey | 22 (100%) | 78 (100%) | 22.31 ± 5.77 | Polycystic ovarian syndrome | ATP-III | NR | NR |
| Chen (2016) | Cross-sectional | China | 238 | 173 | 48.80 ± 13.62 | Obstructive sleep apnea | ATP-III | 2.28 | 0.836 (0.797–0.875), |
| de Oliveira (2017) | Cross-sectional | Brazil | NR | NR | 80.2 ± 9.0 | | JIS | 2.26 | 0.641 (0.564–0.718), |
| Diez-Rodriguez (2014) | Cross-sectional | Spain | 70 | 69 | 43.81 ± 10.6 | | ATP-III | NR | NR |
| Elisha (2013) | Cohort | Canada | 20 (100%) | 79 (100%) | 58.1 ± 4.7 | Obese and overweight postmenopausal women | ATP-III | 2.6 | 0.95 (0.88–0.97), |
| Ercin (2015) | Cohort | Turkey | 20 | 195 | 32.11 (IQR: 20–53) | Nonalcoholic steatohepatitis | ATP-III | NR | NR |
| Ferrau (2017) | Cohort (retrospective) | Italy | 2 | 22 | 38.3 ± 15.4 | | IDF | NR | NR |
| Gu (2018) | Cross-sectional | China | 2718 (70.9%) | 4004 (42.9%) | 70.08 ± 7.50 | | IDF | 1.63 (M) 2.05 (F) | 0.865 (0.853–0.877) (M) 0.856 (0.844–0.867) (F) for all groups |
| Guo (2016) | Cross-sectional | China | 2565 (58%) | 7464 (55.6%) | 45.36 ± 14.37 | | JIS | 1.71 (M) 1.67 (F) | 0.789 (0.772–0.805) (M), 0.761 (0.747–0.775) (F), |
| Huang (2020) | Cross-sectional | China | 417 | 387 | NR | Susceptible for diabetes | ATP-III | 1.94 (M) 1.67 (F) | 0.804 (0.758–0.849) (M) 0.783 (0.738–0.827) (F) for all groups |
| Jung (2020) | Cohort | Korea | 1728 | 4079 | 50.8 ± 8.7 | | IDF | 2.05 | 0.660 (0.646–0.675), |
| Kouli (2017) | NR | Greece | 484 | 1536 | 38.0 ± 19.4 | | JIS | 2.4 | NR |
| Lee (2018) | Cross-sectional | South Korea | 455 (100%) | 3481 (100%) | 52.14 ± 10.97 | | ATP-III | NR | 0.88 (0.86–0.90), |
| Li (2018) | Cross-sectional | China | 375 | 617 | 66.07 ± 9.9 | | IDF, ATP-III | 2.01 (IDF) 2.03 (ATP-III) | 0.783 (0.752–0.814) (IDF), 0.830 (0.804–0.856) (ATP-III), |
| Loureiro (2019) | Cross-sectional | Brazil | 150 | 73 | 41.20 ± 10.15 | Class III obesity | ATP-III | NR | |
| Ma (2017) | Cross-sectional | China | 507 (42.9%) | 204 (45%) | 54.18 ± 12.82 | | Chinese Diabetes Society | 35.7 (M) 44.0 (F) | 0.894 (0.863–0.925) (M) 0.894 (0.863–0.925) (F) for all groups |
| Motamed (2017) | Cross-sectional | Iran | 1768 (58.7%) | 3544 (36.7%) | 43.06 ± 15.04 | | IDF, ATP-III, AHA, JIS | NR | 0.829 (0.813–0.846) (M) (IDF) 0.894 (0.881–0.907) (F) (IDF) 0.866 (0.850–0.881) (M) (ATP-III) 0.888 (0.875–0.902) (F) (ATP-III) 0.859 (0.844–0.873) (M) (AHA update of ATP-III) 0.883 (0.869–0.897) (F) (AHA update of ATP-III) 0.876 (0.863–0.889) (M) (JIS) 0.879 (0.864–0.894) (F) (JIS) for all groups |
| Okosun (2020) | Cross-sectional | USA | 1016 | 2419 | 53.98 ± 17.28 | | IDF | NR | NR |
| Omuse (2017) | Cross-sectional | Kenya | 135 | 393 | 39 (range: 18–65) | | JIS | 2.06 | 0.858 (0.818–0.897), |
| Pekgor (2019) | NR | Turkey | 41 | 51 | 38.80 ± 0.96 | Overweight and obese population | IDF | 2.2 | 0.818 (0.732–0.903), |
| Rashid (2020) | Cross-sectional | India | NR | NR | NR | Polycystic ovarian syndrome | ATP-III | 2.2 | 0.738 (NR), NR |
| Shin (2019) | Cross-sectional | South Korea | 1888 | 13602 | 51.18 ± 9.10 | | AHA | 1.83 | 0.888 (0.882–0895), |
| Stefanescu (2020) | Cross-sectional | Peru | 403 | 1115 | 39.30 ± 15.07 | | ATP-III | NR | NR |
| Štěpánek (2019) | Cross-sectional | Czech Republic | 226 | 557 | 46.45 ± 14.57 | | IDF | 2.37 | 0.878 (0.853–0.903), |
| Sung (2020) | Cross-sectional | South Korea | 1116 | 3264 | 51.65 ± 16.18 | | ATP-III | 2.43 | NR |
| Techatraisak (2016) | Cross-sectional | Thailand | 98 (100%) | 301 (100%) | 25.42 ± 5.6 | | IDF | 5.6 | 0.94 (0.91–0.97), |
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