*2.3. Statistical Analysis*

A preliminary descriptive analysis was performed: quantitative variables were summarized by mean ± standard deviation, median and minimum–maximum range, and qualitative variables by absolute frequencies and percentages. Kruskal test and the post hoc Dunn test were performed to compare the differences of OS and PFS among the three CONUT score ranges (0–2, 3–4, 5–7). Multiple chi-squared test with Bonferroni correction was performed to compare the response (partial response/stable disease and progressive disease) among the three CONUT score levels. ROC curve was performed to obtain a CONUT score cut-off for the most accurate prevision of PFS and OS at 12 months.

The associations with the dichotomous CONUT score (0–2 and 3–7) were evaluated with the chi-squared test or Fisher exact test. The differences between low and high CONUT were evaluated with the *t*-test or the Mann–Whitney test based on the Kolmogorov–Smirnov test for the normality distribution.

Kaplan–Meier and Cox regression analyses were used to assess progression free survival and overall survival. Hazard ratio and their 95% confidence interval (CI) were estimated. Stepwise Cox regression was performed. A *p*-value < 0.05 was considered statistically significant. The analyses were performed with SPSS statistics version 27.
