Table 2.

Subgroup analysis of prognostic role of LMR for overall survival in patients with glioma

Subgroups	No. of studies	No. of patients	Effects model	HR (95%CI)	p	Heterogeneity		Mete-regression p
						I2 (%)	Ph
Total	15	2999	Random	1.35 (1.13–1.61)	0.001	64.9	< 0.001
Country								0.059
China	13	2913	Random	1.28 (1.08–1.51)	0.005	62.1	0.001
Others	2	86	Fixed	2.46 (1.47–4.14)	0.001	25.4	0.247
Sample size								0.156
< 200	9	1143	Random	1.56 (1.19–2.04)	0.001	61.4	0.008
≥ 200	6	1856	Random	1.16 (0.94–1.43)	0.166	62.0	0.022
Histological type								0.646
Glioma	10	2214	Random	1.42 (1.09–1.85)	0.009	72.2	< 0.001
GBM	5	785	Fixed	1.23 (1.07–1.42)	0.003	46.2	0.114
Treatment								0.241
Surgery	5	1166	Fixed	1.16 (0.96–1.39)	0.124	0	0.535
Mixed	10	1833	Random	1.49 (1.17–1.91)	0.002	75.0	< 0.001
Cut-off value								0.536
≤ 3.7	8	1763	Fixed	1.31 (1.15–1.48)	< 0.001	46.2	0.072
> 3.7	7	1236	Random	1.28 (0.92–1.77)	0.140	76.4	< 0.001
Cut-off determination								0.559
X-tile	3	842	Fixed	1.22 (0.98–1.53)	0.081	16.8	0.301
ROC curve	12	2157	Random	1.40 (1.13–1.74)	0.002	70.6	< 0.001
Survival analysis								0.960
Univariate	13	2593	Random	1.35 (1.12–1.63)	0.002	66.2	< 0.001
Multivariate	2	406	Random	1.45 (0.66–3.15)	0.352	76.9	0.037

GBM glioblastoma, ROC receiver operating characteristic