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. 2018 Mar 21;8:78. doi: 10.3389/fonc.2018.00078

Table 2.

Clinical studies investigating the role of NLR in predicting cancer patient outcomes.

Reference Cancer type Measurements # of patients Range cutoffs Multivariate HR (OS) Time of measurement
Absenger et al. (17) Colon NLR 504 NLR > 4 1.95, p = 0.006 Preoperative
Azab et al. (75) Breast NLR 316 NLR > 3.3 4.07, p = 0.002 Pretreatment
Jung et al. (76) Gastric NLR 293 NLR > 2.0 1.61, p = 0.006 Presurgery
Pichler et al. (128) Renal cell carcinoma NLR 678 NLR > 3.3 1.59, p = 0.014
CSS—1.39, p = 0.184
Pretreatment
Proctor et al. (50) Multiple NLR
dNLR
12,118 NLR > 4dNLR > 2 Prediagnosis—NLR—1.57, p < 0.001, dNLR—1.54, p < 0.001
Postdiagnosis—NLR—1.86, p < 0.001, dNLR—1.76, p < 0.001
Within 2 years of diagnosis
Rachidi et al. (77) Head and neck NLR 543 NLR in highest tertile 2.39, p = 0.0001 Pretreatment
Ubukata et al. (78) Gastric NLR 157 NLR > 5 RR—5.78, p < 0.001 (presurgery)
RR—3.26, p = 0.540 (postsurgery)
Presurgery and 14 days post
Viers et al. (79) Clear cell carcinoma NLR 827 NLR > 4 1.02, p < 0.01 Pretreatment

CSS, cancer-specific survival; OS, overall survival; RR, relative risk.