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A Nomogram to Predict Prognostic Value of Red Cell Distribution Width in Patients with Esophageal Cancer

机译:诺法图预测食管癌患者红细胞分布宽度的预后价值

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Objectives. The prognostic value of inflammatory index in esophageal cancer (EC) was not established. In the present study, we initially used a nomogram to predict prognostic value of red cell distribution width (RDW) in patients with esophageal squamous cell carcinoma (ESCC).Methods. A total of 277 ESCC patients were included in this retrospective study. Kaplan-Meier method was used to calculate the cancer-specific survival (CSS). A nomogram was established to predict the prognosis for CSS.Results. The mean value of RDW was 14.5 ± 2.3%. The patients were then divided into two groups: RDW ≥ 14.5% and RDW < 14.5%. Patients with RDW < 14.5% had a significantly better 5-year CSS than patients with RDW ≥ 14.5% (43.9% versus 23.3%,P< 0.001). RDW was an independent prognostic factor in patients with ESCC (P= 0.036). A nomogram could be more accurate for CSS. Harrell’s c-index for CSS prediction was 0.68.Conclusion. RDW was a potential prognostic biomarker in patients with ESCC. The nomogram based on CSS could be used as an accurately prognostic prediction for patients with ESCC.
机译:目标。尚未确定炎性指数在食管癌(EC)中的预后价值。在本研究中,我们最初使用列线图预测食管鳞状细胞癌(ESCC)患者的红细胞分布宽度(RDW)的预后价值。这项回顾性研究共纳入了277名ESCC患者。 Kaplan-Meier方法用于计算癌症特异性生存率(CSS)。建立了诺模图以预测CSS的预后。 RDW的平均值为14.5±2.3%。然后将患者分为两组:RDW≥14.5%和RDW <14.5%。 RDW <14.5%的患者的5年CSS明显优于RDW≥14.5%的患者(43.9%对23.3%,P <0.001)。 RDW是ESCC患者的独立预后因素(P = 0.036)。对于CSS,列线图可能更准确。 Harrell的CSS预测c指数为0.68。结论。 RDW是ESCC患者潜在的预后生物标志物。基于CSS的列线图可以作为ESCC患者的准确预后预测。

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