Meta-Analysis
Copyright ©The Author(s) 2025.
World J Methodol. Dec 20, 2025; 15(4): 107468
Published online Dec 20, 2025. doi: 10.5662/wjm.v15.i4.107468
Table 1 Baseline characteristics of the study population from the included studies, n (%)/mean ± SD
Ref.
Type of study
Follow-up in years
Sample size
Age in years
Males
BMI (Kg/m²)
Serum albumin (g/dL)
Absolute neutrophil value (109/L)
Absolute lymphocytes value (109/L)
Total leukocytes (109/L)
Erdem et al[13]P15955.6 ± 4435 (59)26.91 ± 63.85 ± 0.3834.30 ± 1.57a1.27 ± 0.35a6.35 ± 1.6a
Abe et al[14]PN/A8657.6 ± 11.558 (67.4)22.0 ± 4.03.5 ± 0.54.1 ± 1.7a1.1 ± 0.4a6.0 ± 2a
Neuen et al[15]R517054 ± 11102 (60)26 ± 1.53.4 ± 0.13a5.1 ± 1.7a1.7 ± 0.57a7.7 ± 0.59
Ouellet et al[16]R2578262.5 ± 15.2a3180(55)aN/A3.72 ± 0.48a64.5 ± 10.7a22.22 ± 9.01a7.26 ± 2.56a
Yaprak et al[17]PN/A8056.8 ± 18.132 (40)N/A3.64 ± 0.473.904 ± 1.5431.44 ± 0.5N/A
Sato et al[18]R27863.4 ± 11.751 (65.4)23.4 ± 3.93.2 ± 0.5N/AN/A6.3 ± 2.18a
Li et al[19]PN/A26848.7 ± 10.9149 (55)N/A3.63 ± 0.35N/AN/AN/A
Xiang et al[20]P635558.0 ± 14.9a220 (62)21.5 ± 3.304 ± 0.9a4.0 ± 0.3a1.2 ± 0.09a5.89 ± 0.39a
Woziwodzka et al[21]P58461.5 ± 4.3850 (59.5)25.1 ± 1.214.2 ± 0.11aN/AN/A6.9 ± 0.48a
Balboul et al[22]RN/A55467.6 ± 14.266 (12)26.7 ± 6.03.47 ± 0.64.8 ± 0.521.3 ± 0.147.0 ± 0.59
Kular et al[23]RN/A22465.8 ± 14.4a133 (59)N/A3.36 ± 6.324.67 ± 2.99a0.903 ± 0.496.16 ± 3.18a
Oguz et al[24]PN/A12361 ± 15.6a75 (61)N/A3.47 ± 0.65a4.8 ± 3.1a0.99 ± 0.896.6 ± 4.6a
Zhang et al[25]P5.936060 ± 3.17201 (56)N/A4.05 ± 0.084.05 ± 0.34a1.17 ± 0.112aN/A
Lano et al[6]P218365.5 ± 16.3a106(58)aN/A3.78 ± 0.564.3 ± 1.8a1.29 ± 0.58a6.9 ± 5.0a
Wang et al[26]R318556.3 ± 13.8a88 (47.6)N/A3.878 ± 0.36aN/AN/AN/A
Parmelia et al[27]P118656.3 ± 11.1110 (59)N/AN/A3.9 ± 0.38a1.3 ± 0.12a6.2 ± 0.38
Wang et al[28]R4.8324063.4 ± 13.7161 (67)N/A3.754 ± 0.42aN/AN/AN/A
Zhang et al[29]R730353.7 ± 13.17184 (61)N/A4 ± 0.234.1 ± 1.11.3 ± 0.3aN/A
He et al[30]PN/A16855.4 ± 15.1a101 (60)N/A4.15 ± 0.554.51 ± 1.841.38 ± 0.56aN/A
Table 2 Baseline characteristics of the study population from the included studies
Ref.
Total Platelets (109/L)
NLR
Hb (g/dL)
S Ferritin (ng/mL)
S Creatinine (mg/dL)
Smoking
HTN
Stroke
DM
CRP (mg/dL)
Erdem et al[13]222 ± 643.51 ± 0.95a11.15 ± 0.9N/A9.75 ± 2.5N/AN/AN/AN/AN/A
Abe et al[14]206 ± 593.72 ± 4.9a8.8 ± 1.3148.9 ± 180.810.2 ± 3.416 (18.6)N/A21 (24.4)N/AN/A
Neuen et al[15]N/A3 ± 0.28a10.8 ± 1.5a483 ± 98N/A32 (19)N/A6 (3.5)117 (69)aN/A
Ouellet et al[16]N/A3.84 ± 3.27aN/AN/AN/AN/AN/A231 (4)3007(52)aN/A
Yaprak et al[17]174 ± 562.52 ± 0.9110.6 ± 1.51015 ± 5137.68 ± 2.46N/AN/AN/AN/A1.36 ± 2.00
Sato et al[18]202 ± 92a4.09 ± 6.94a8.9 ± 1.382.6 ± 119.910.1 ± 3.2N/A77 (98.7)7 (9.0)N/A0.24 ± 1.41a
Li et al[19]N/A3.36 ± 1.6511.49 ± 1.27N/A10.33 ± 1.971 (26.5)N/AN/A49 (18.3)N/A
Xiang et al[20]N/A3.22 ± 0.3a10.68 ± 1.520.15 ± 0.05a11.46 ± 3.1985 (23.9)262 (74)N/A66 (18.6)N/A
Woziwodzka et al[21]N/A3 ± 0.37N/AN/A5 ± 0.4320 (23.8)71 (84.5)3 (3.6)25 (29.8)7.4 ± 3.26
Balboul et al[22]182 ± 16.43.55 ± 0.610.4 ± 1.5N/A6.42 ± 2.4N/AN/AN/A611.19 ± 0.65
Kular et al[23]N/A6.9 ± 8.4a10.5 ± 1.5N/AN/A71 (32)a182 (81)49 (22)a120 (54)N/A
Oguz et al[24]174 ± 786.49 ± 7.88a9.87 ± 1.651024 ± 1206aN/A49 (40)93 (76)N/A53 (43)a74 ± 96.82a
Zhang et al[25]171.5 ± 15.3a3.42 ± 0.4a11.2 ± 0.35aN/AN/AN/AN/AN/AN/A64 ± 30.63
Lano et al[6]199 ± 83a4.01 ± 2.6a10.7 ± 1.2562 ± 462N/A104 (57)159 (87)N/A73 (40)N/A
Wang et al[26]N/A3.365 ± 0.98a10.99 ± 1.8N/AN/AN/AN/AN/AN/AN/A
Parmelia et al[27]192.5 ± 12.273.2 ± 0.37a10.3 ± 0.36N/A11.3 ± 3.3N/A146 (92)N/A31 (19.5)N/A
Wang et al[28]N/A3.31 ± 1.36a10.57 ± 1.85aN/A7.01 ± 2.86N/AN/AN/AN/AN/A
Zhang et al[29]172 ± 13.62a3.22 ± 0.35a10.6 ± 1.0182 ± 71.6411.3 ± 65.7443 (14.19)252 (83)N/A80 (26.4)N/A
He et al[30]198.03 ± 80.9a3.63 ± 1.80a10.4 ± 2.26228.9 ± 350.9a11.2 ± 3.8N/A23 (13.7)N/A44 (26.2)N/A
Table 3 Subgroup analysis of the included studies on the association of neutrophil-lymphocyte ratio with all-cause mortality
Variables
Number of studies
No. of patients
aHR (95%CI)
P value
I2
Study design
Prospective57861.63 (1.66-2.27)0.00467.1
Retrospective671111.17 (1.07-1.29)0.000887.7
Sample size
≥ 200571311.11 (1.02-1.21)0.01681.6
< 20067661.35 (1.16-1.56)< 0.000152
Age (years)
≥ 57567221.07 (1.00-1.14)0.04872.2
< 57611751.42 (1.21-1.67)< 0.000157.4
Males%
≥ 60%47191.30 (1.16-1.46)< 0.000145.5
< 60%771781.14 (1.03-1.25)0.00879.2
Diabetes (%)
≥ 30467301.14 (1.04-1.25)0.00891.2
< 30510091.62 (1.20-2.19)0.00169.5
NLR
≥ 3.5568061.08 (1.02-1.14)0.0171.8
2.5-3.5610911.54 (1.33-1.78)< 0.000114
Hemoglobin (g/dL)
≥ 10.5510451.37 (1.06-1.76)0.0291
< 10.549861.17 (1.00-1.36)0.0475.8
Creatinine (mg/dL)
≥ 7.7510031.42 (1.16-1.73)0.000660.7
< 7.737181.43 (0.77-2.67)0.2664
Serum albumin (g/dL)
≥ 3.5666851.53 (1.21-1.94)0.000457.6
< 3.5410261.13 (1.03-1.24)0.00790.6
Serum ferritin (ng/mL)
≥ 34034181.29 (1.11-1.49)0.000856.4
< 34023811.34 (1.09-1.64)0.004< 0.0001
Table 4 Meta-regression analysis of variables associated with all-cause mortality and cardiovascular mortality
Variables
Number of studies
Coefficient estimate
95%CI
P value
All-cause mortality
Age11-0.02-0.03 to 0.01< 0.0001
Males110.005-0.003 to 0.010.22
BMI4-0.05-0.23 to 0.120.55
Hypertension60.002-0.005 to 0.010.5
Diabetes9-0.005-0.01 to 0.00060.08
CRP40.1-0.03 to 0.230.13
Hemoglobin90.08-0.08 to 0.240.32
Serum creatinine60.06-0.02 to 0.130.17
Serum ferritin 50.0004-0.0001 to 0.00090.12
Serum albumin100.17-0.13 to 0.470.26
Smoking5-0.02-0.06 to 0.020.28
Cardiovascular mortality
Age4-0.02-0.04 to 0.0040.01
Males40.0050.003 to 0.008< 0.0001
Diabetes4-0.004-0.01 to 0.0060.43
Hemoglobin40.26-0.04 to 0.560.09
Serum albumin40.54-0.75 to 1.830.41