Count data were summarized using frequencies and percentages and processed using SPSS 22.0 statistical software (Version 22.0, IBM, New York). The appropriate cut-off points of PNI for the prediction of the prognosis of G-NEC were calculated using X-tile software. The PNI and clinicopathological characteristics were analyzed using the Chi-square test or Fisher’s exact test. The Kaplan–Meier method and the log-rank test were performed to compare OS between groups. Significant prognostic risk factors identified through a univariate analysis were further assessed through a multivariate analysis using Cox’s proportional hazards regression model. Hazard ratio (HR) and 95% confidence interval (95% CI) were used as correlation measurements in our research study. A value of p of <0.05 was considered to indicate statistical significance.
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