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Table 4 Univariable Cox regression models for the influence of categorized weight loss on survival outcomes

From: Impact of weight loss on survival after chemoradiation for locally advanced head and neck Cancer: secondary results of a randomized phase III trial (SAKK 10/94)

Variable

Cox regression analysis, hazard ratio (95% confidence interval) (p-value)

TTF

LRRFS

DMFS

CSS

OS

Weight loss before treatment (<=5% vs. none)

1.5 (1.0-2.2) (0.04)

1.6 (1.0-2.6) (0.05)

1.7 (0.9-2.9) (0.09)

1.2 (0.7-2.2) (0.5)

1.4 (0.9-2.1) (0.1)

Weight loss before treatment (>5-10% vs. none)

1.7 (1.1-2.5) (0.01)

1.4 (0.9-2.3) (0.2)

2.3 (1.3-4.0) (0.003)

2.0 (1.2-3.5) (0.01)

1.7 (1.1-2.7) (0.01)

Weight loss before treatment (>10% vs. none)

2.7 (1.7-4.4) (<0.001)

2.6 (1.5-4.5) (<0.001)

3.1 (1.6-5.8) (<0.001)

2.8 (1.5-5.4) (0.001)

2.9 (1.8-4.8) (<0.001)

Weight loss during treatment (<=5% vs. none)

1.1 (0.7-1.7) (0.7)

1.0 (0.6-1.8) (0.9)

1.1 (0.6-2.1) (0.7)

1.2 (0.6-2.1) (0.6)

1.2 (0.8-2.0) (0.4)

Weight loss during treatment (>5-10% vs. none)

1.0 (0.6-1.6) (1.0)

1.0 (0.6-1.7) (0.9)

0.9 (0.5-1.7) (0.9)

1.0 (0.5-1.8) (0.9)

1.1 (0.7-1.8) (0.7)

Weight loss during treatment (>10% vs. none)

1.1 (0.6-1.8) (0.8)

0.9 (0.5-1.7) (0.8)

0.9 (0.4-1.8) (0.7)

0.7 (0.3-1.5) (0.3)

0.9 (0.5-1.7) (0.8)

  1. p-values for log-rank tests are displayed in the Kaplan-Meier Plots.