Nomogram predicting overall survival of rectal squamous cell carcinomas patients based on the SEER database: A population-based STROBE cohort study

We aimed to evaluate the prognostic value of clinical and pathologic factors in rectal squamous cell carcinomas (SCC) and to construct a nomogram for their outcome prediction.The study cohort was selected from Surveillance, Epidemiology, and End Results (SEER) program between January 2004 and Decemb...

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Bibliographic Details
Published in:Medicine (Baltimore) 2019-11, Vol.98 (46), p.e17916-e17916
Main Authors: Diao, Jian-Dong, Wu, Chun-Jiao, Cui, Hong-Xia, Bu, Ming-Wei, Yue, Dan, Wang, Xue, Liu, Yan-Ling, Yang, Yong-Jing
Format: Article
Language:English
Subjects:
Adult
Age Factors
Aged
Aged, 80 and over
Antineoplastic Agents - therapeutic use
Carcinoma, Squamous Cell - mortality
Carcinoma, Squamous Cell - pathology
Carcinoma, Squamous Cell - therapy
Female
Humans
Kaplan-Meier Estimate
Male
Middle Aged
Multivariate Analysis
Neoplasm Staging
Nomograms
Observational Study
Proctectomy - methods
Prognosis
Proportional Hazards Models
Radiotherapy - methods
Rectal Neoplasms - mortality
Rectal Neoplasms - pathology
Rectal Neoplasms - therapy
ROC Curve
SEER Program
Sex Factors
Socioeconomic Factors
Tumor Burden
United States
Young Adult
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Summary:We aimed to evaluate the prognostic value of clinical and pathologic factors in rectal squamous cell carcinomas (SCC) and to construct a nomogram for their outcome prediction.The study cohort was selected from Surveillance, Epidemiology, and End Results (SEER) program between January 2004 and December 2013. Univariate and multivariate analyses were performed using Cox proportional hazards regression model to evaluate the prognostic value of involved variables. All prognostic factors were combined to construct a nomogram to predict the overall survival (OS), followed by discrimination as well as calibration plots and receiver operating characteristic (ROC) curves for assessing the predictive accuracy of the nomogram.We identified 806 patients with a median follow-up time of 35 months. Multivariate analyses revealed that marital status (P 
ISSN:0025-7974
1536-5964
DOI:10.1097/MD.0000000000017916