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. 2025 Feb 22;12(5):811–820. doi: 10.1093/nop/npaf029

Table 3.

Cohort 1: survival analysis of socioeconomic factors in HGG

Variable Median (SE)a 95% CIa P-valuea HRb 95% CIb P-valueb
Rurality .049
 Frontier 18.0 (2.1) 13.8-22.2 Ref
 Rural 13.0 (0.9) 11.2-14.8 0.54 0.24-1.20 .542
 Urban 16.0 (0.9) 14.3-17.7 0.71 0.35-1.47 .712
Poverty indicator c .485
 <5% 17.0 (1.5) 14.1-19.9 Ref
 5%-10% 13.0 (0.9) 11.2-14.8 1.07 0.76-1.51 .708
 10%-20% 15.0 (1.0) 13.0-17.0 1.38 0.96-1.99 .084
 >20% 15.0 (2.6) 9.9-20.1 1.31 0.81-2.11 .269
Insurance .267
 Uninsured 21.0 (3.1) 14.8-27.2 Ref
 Insured, NOS 33.0 (6.8) 19.7-46.3 0.33 0.15-0.72 .005
 Private insurance 22.0 (1.5) 19.0-25.0 0.07 0.36-1.04 .068
 Medicare, Medicaid 9.0 (0.6) 7.9-10.1 0.05 0.31-1.01 .054
 Other gov’t 13.0 (4.8) 3.6-22.4 0.43 0.24-1.84 .425
 Unknown 48.0 (9.6) 29.1-66.9 0.01 0.17-0.78 .009

Abbreviations: NOS, not otherwise specified; Other gov’t, other government program.

Bold values are significant.

aKaplan-Meier analysis and log-rank test.

bMultivariable Cox regression analysis.

cPercentage of a patient’s community who live at or below the poverty line.