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. 2017 Nov 10;17:749. doi: 10.1186/s12885-017-3746-y

Table 4.

Cox regression analysis for the prediction of overall survival in patients with urothelial bladder cancer (n = 88, number of events = 32)

Overall Survival Univariate analysis Multivariate analysisa
p-value HR 95% CI p-value HR 95% CI
RNY1, low vs high 0.013 2.49 1.22–5.08 0.615 1.24 0.55–2.80
RNY3, low vs high 0.009 2.60 1.27–5.33 0.400 1.43 0.62–3.26
RNY4, low vs high 0.053 2.03 0.99–4.15 0.847 1.08 0.49–2.41
RNY5, low vs high 0.545 0.80 0.40–1.63 0.531 0.80 0.39–1.62
MIBC vs. NMIBC 4.9e-04 4.05 1.85–8.90 0.055 2.86* 0.98–8.36
pN-stage, pN1 vs pN0 0.003 2.89 1.44–5.84 0.641 1.24* 0.50–3.05
cM-stage, M1 (n = 2) vs M0 0.001 12.87 2.71–61.16 x x x
Grade, G3 vs G1 + G2 0.021 2.39 1.14–5.01 0.575 1.29* 0.55–3.09

Comments: aIn case of every YRNA data is shown for separate multivariate model with “MIBC vs NMIBC”, pN-Stage and Grade as co-variates; *HR, p-value, 95% CI shown for multivariate model with RNY1. Other YRNAs (RNY3, RNY4, RNY5) showed similar results

Analysis for YRNAs is based on the best cut-off, the same as in Kaplan-Meier/log-rank analysis: RNY1–0.082, RNY3–0.181, RNY4–0.338, RNY5–1.151. Abbreviations: MIBC muscle-invasive bladder cancer, NMIBC non-muscle-invasive bladder cancer