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

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 27...

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Detalles Bibliográficos
Autores principales: Chen, Gui-Ping, Huang, Ying, Yang, Xun, Feng, Ji-Feng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4633693/
https://www.ncbi.nlm.nih.gov/pubmed/26578822
http://dx.doi.org/10.1155/2015/854670
Descripción
Sumario: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.