Table 1 Main characteristics of the eligible studies
Study | Year | Region | Study period | Type of study | Population | Endpoints with HR | LNR cut-off | Method of LNR determination | Follow-up time (months) |
|---|---|---|---|---|---|---|---|---|---|
Ye [22] | 2018 | China | 2007 to 2016 | retrospective | HPSCC | OS, DFS | <0.07,≥0.07 | ROC | Median 33.1 (6.1 to 110.7) |
Lo [15] | 2017 | Taipei, China | 2001 to 2007 | retrospective | HPSCC | OS, DFS, DSS | < 0.113, ≥0.113 | Mean | Mean 51 (4 to 144) |
Suzuki [21] | 2016 | Japan | 2000 to 2015 | prospective | HPSCC | OS, DFS | < 0.09, ≥0.09 | Log-rank test | Mean ± SD 45.7 ± 40.6 |
Joo [14] | 2015 | Korea | 1993 to 2014 | retrospective | HPSCC | OS, DFS | < 0.055, ≥0.055 | ROC | Mean 37 (1 to 151) |
Hua [13] | 2015 | China | 2000 to 2005 | retrospective | HPSCC | OS | < 10, > 10% | NA | Median 48 (12 to 127) |
Yu [29] | 2013 | China | 1965 to 2008 | retrospective | HPSCC | OS, DFS, DSS | ≤0.14, > 0.14 | LNR quartiles | Mean 41.8 (1 to 295) |
Wang [27] | 2013 | SEER | 1988 to 2008 | retrospective | HPSCC | OS, DFS | 0–0.05, 0.05–0.30, > 0.30 | Log-rank test | Median 23 (0 to 238) |
Imre [19] | 2016 | Turkey | 2006 to 2014 | retrospective | LSCC | OS, DFS | < 0.09, ≥0.09 | Univariate Cox analysis | Mean 33.5 (6 to 94) |
Ryu [16] | 2015 | Korea | 2001 to 2010 | retrospective | LSCC | DFS | ≤0.044, > 0.044 | ROC | Median 53.2 (2.1 to 147.1) |
Wang [28] | 2014 | SEER | 1988 to 2008 | retrospective | LSCC | OS, DFS | 0–0.09, 0.09–0.20, > 0.20 | Log-rank test | NA |
Künzel [20] | 2015 | Germany | 1980 to 2010 | retrospective | LSCC | DFS | < 0.09, > 0.09/< 0.09, > 0.09 | ROC | Mean 53 (0.1 to 229) |
Choi [12] | 2019 | Germany | 2006 to 2016 | retrospective | HPSCC/LSCC | OS, DFS, DSS | 0.03 | ROC | Median 60 (24 to 134) |
Grasl [18] | 2019 | Austria | 1994 to 2018 | retrospective | HPSCC/LSCC | OS, DFS, DSS | ≤0.07, > 0.07 | ROC | Mean ± SD 55.6 ± 59.3 |