Nomogram: an effective prognostic model for esophageal cancer with lung metastasis / 中国实用内科杂志
Chinese Journal of Practical Internal Medicine
;
(12): 613-617, 2019.
Artigo
em Chinês
| WPRIM
| ID: wpr-816075
ABSTRACT
OBJECTIVE:
To establish a prediction model for the prognosis of patients with esophageal cancer lung metastasis.METHODS:
Data from 194 patients with esophageal cancer lung metastasis from 2010 to 2015 was collected from the National Cancer Institute Surveillance, Epidemiology and EndRESULTS:
(SEER) database. The best cutoff value for age was determined by X-tile software.Prognostic factors were analyzed by SPSS(v25.0) with the log-rank method and the Cox proportional hazard model. Risk factors from univariate analysis were used to construct prediction nomogram with R studio software(version 3.5.1).RESULTS:
The median survival time of 194 patients with esophageal cancer lung metastasis was 7.0 months, the 3-month survival rate was 69.9%, and the 1-year survival rate was 27.7%. Age(HR=1.51, 95% CI 1.066-2.140) and pathological type(HR=0.736, 95% CI 0.543-0.998) were independent prognostic factors for patients with esophageal cancer lung metastasis. The value of C-index was 0.634(95% CI=0.585-0.683).CONCLUSION:
For patients with esophageal cancer lung metastasis, being young and adenocarcinoma are associated with a better prognosis. The prediction of the nomogram is good.
Texto completo:
DisponíveL
Índice:
WPRIM (Pacífico Ocidental)
Tipo de estudo:
Estudo prognóstico
/
Fatores de risco
Idioma:
Chinês
Revista:
Chinese Journal of Practical Internal Medicine
Ano de publicação:
2019
Tipo de documento:
Artigo
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