Pretreatment inflammation-based biomarkers and the prognostic nutrition index (PNI) have been used to evaluate prognosis in cancer patients. However, few studies have focused on the prognostic value of post-treatment inflammation-based biomarkers and PNI in ESCC patients. We aimed to investigate the values of pre/post-treatment inflammatory parameters and PNI for establishing a nomogram to predict overall survival (OS) in ESCC patients. A retrospective review was performed on 268 ESCC patients with esophagectomy. The prognostic values of inflammatory and nutrition indexes were evaluated. Based on the results of multivariable Cox analysis, a nomogram was developed. The predictive accuracy and discriminative ability of the nomogram were determined using the concordance-index (C-index) and a calibration curve and subsequently compared to tumor-node-metastasis (TNM) staging by C-index, receiver operating characteristic (ROC) and decision curve analysis (DCA). PreSII, PostSII, PrePNI, N stage, and TNM classification were assembled into a nomogram. The C-index of the nomogram was 0.774, and the area under curve (AUC) of the nomogram was 0.862. DCA demonstrated that the established nomogram was a better predictive model compared to the TNM system. The developed nomogram with superior predictive ability provides more valuable prognostic information for patients and clinicians than TNM classification.
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http://dx.doi.org/10.1080/01635581.2021.1957131 | DOI Listing |
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