Study | Country | Year | Involved centers | Design | SII analysis | SII cut-off value | Age(mean + SD) | Sample size | HTN% | DM% | HPL% | Follow-up duration (days) | Outcome |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Ya-Ling Yang | china | 2020 | single | RC | High SII: Low SII | 694.3 | 69.2 ± 12.9 | 5602 | 87 | 40 | NA | 1638 | ①③④⑤⑥ |
Demet Ozkaramanli Gur | Turkey | 2021 | single | RC | T3:T1 | NA | 64.15 ± 11,56 | 206 | 36 | 40 | 43 | 365 | ① |
Sanling Shi | china | 2022 | single | RC | High SII: Low SII | 1159.84 | 71.9 + 10.7 | 744 | 77 | 40 | 49 | 912.5 | ①②③④⑤⑥ |
Gokhan Demirci | Turkey | 2023 | single | RC | High SII: Low SII | 548 | 63.6 ± 9.1 | 303 | 78 | 44 | 56 | 10,095 | ① |
Faysal Saylik | Turkey | 2021 | single | RC | High SII: Low SII | 951.7 | 60.2 ± 9.74 | 843 | 33 | 24 | 39 | 1026 | ①②③④⑥ |
Lütfi Öcal | Turkey | 2021 | single | RC | High SII: Low SII | 1781 | 56.93 ± 11.53 | 1660 | 42 | 22 | 27 | 999 | ①②④⑥ |
Wenjun Fan | china | 2021 | single | PC | High SII: Low SII | 628.60 | NA | 1553 | 59 | 25 | 22 | 1142 | ① |
Xing Wei | china | 2023 | single | RC | T3:T1 | 1,085.55 | 62.54 ± 13.76 | 310 | 58 | 31 | NA | NA | ① |