
The development of a nomogram and the prognostic prediction value of patients with esophageal squamous cell carcinoma undergoing radical radiotherapy
Author(s) -
Ling Xiao,
Jiahua Lyu,
Meihua Chen,
Liu Wang,
Jing Huang,
Yajun Wei,
Tao Li
Publication year - 2022
Publication title -
future science oa
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.825
H-Index - 23
ISSN - 2056-5623
DOI - 10.2144/fsoa-2021-0080
Subject(s) - nomogram , medicine , cohort , proportional hazards model , oncology , radiation therapy , esophageal squamous cell carcinoma , multivariate analysis , carcinoma , stage (stratigraphy) , chemotherapy , paleontology , biology
Aim: This study aimed to explore the role of the developed nomogram in the prognosis of esophageal squamous cell carcinoma (ESCC). Methods: A total of 181 ESCC patients were randomly divided into a training cohort (n = 141) and a validation cohort (n = 40). Significant factors impacting overall survival (OS) were identified in the training set and integrated into the nomogram based on Cox proportional hazards regression. Results: In the training cohort, the median OS in the high group (≥222) was 49.9 months and the median OS in the low group (<222) was 14.4 months. Multivariate analysis revealed that age, Karnofsky performance status score, tumor stage, chemotherapy, BMI, cervical esophageal carcinoma index and neutrophil to lymphocyte ratio were predictors of OS. Conclusion: The developed nomogram can effectively predict the survival prognosis of ESCC patients.