TY - JOUR
T1 - A Nomogram for Predicting Survival in Advanced Non-Small-Cell Lung Carcinoma Patients
T2 - A Population-Based Study
AU - Yang, Bo
AU - Teng, Mengmeng
AU - You, Haisheng
AU - Dong, Yalin
AU - Chen, Siying
N1 - Publisher Copyright:
© 2023 Taylor & Francis Group, LLC.
PY - 2023
Y1 - 2023
N2 - Non-small-cell lung cancer (NSCLC) remains the most common malignant cancer. We identified 43140 advanced NSCLC patients from the SEER database to develop and validate a new prognostic model. The prognostic performance was evaluated by P value, concordance index, net reclassification index, integrated discrimination improvement, and decision curve analysis. The following variables were contained in the final prognostic model: age, sex, race, TNM stage, and grade and treatment options. Compared to the AJCC staging system, this prognostic model is conducive to the implementation of individualized clinical treatment schemes and can be an important part of the precise medical care of NSCLC tumors.
AB - Non-small-cell lung cancer (NSCLC) remains the most common malignant cancer. We identified 43140 advanced NSCLC patients from the SEER database to develop and validate a new prognostic model. The prognostic performance was evaluated by P value, concordance index, net reclassification index, integrated discrimination improvement, and decision curve analysis. The following variables were contained in the final prognostic model: age, sex, race, TNM stage, and grade and treatment options. Compared to the AJCC staging system, this prognostic model is conducive to the implementation of individualized clinical treatment schemes and can be an important part of the precise medical care of NSCLC tumors.
KW - Advanced non-small-cell lung cancer
KW - SEER database
KW - nomogram
KW - prognostic factors
KW - survival prediction
UR - https://www.scopus.com/pages/publications/85167809281
U2 - 10.1080/07357907.2023.2241547
DO - 10.1080/07357907.2023.2241547
M3 - 文章
C2 - 37490629
AN - SCOPUS:85167809281
SN - 0735-7907
VL - 41
SP - 672
EP - 685
JO - Cancer Investigation
JF - Cancer Investigation
IS - 7
ER -
