Your browser doesn't support javascript.
loading
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.
Article in Chinese | 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 End

RESULTS:

(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.

Full text: Available Index: WPRIM (Western Pacific) Type of study: Prognostic study / Risk factors Language: Chinese Journal: Chinese Journal of Practical Internal Medicine Year: 2019 Type: Article

Similar

MEDLINE

...
LILACS

LIS

Full text: Available Index: WPRIM (Western Pacific) Type of study: Prognostic study / Risk factors Language: Chinese Journal: Chinese Journal of Practical Internal Medicine Year: 2019 Type: Article