A Nomogram for Predicting Survival in Advanced Non-Small-Cell Lung Carcinoma Patients: A Population-Based Study

Bo Yang; Mengmeng Teng; Haisheng You; Yalin Dong; Siying Chen

doi:10.1080/07357907.2023.2241547

A Nomogram for Predicting Survival in Advanced Non-Small-Cell Lung Carcinoma Patients: A Population-Based Study

Bo Yang
, Mengmeng Teng
, Haisheng You
, Yalin Dong
, Siying Chen

The First Affiliated Hospital of Xi’an Jiaotong University

科研成果: 期刊稿件 › 文章 › 同行评审

3 引用（Scopus）

摘要

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.

源语言	英语
页（从-至）	672-685
页数	14
期刊	Cancer Investigation
卷	41
期	7
DOI	https://doi.org/10.1080/07357907.2023.2241547
出版状态	已出版 - 2023
已对外发布	是

联合国可持续发展目标

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10.1080/07357907.2023.2241547

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title = "A Nomogram for Predicting Survival in Advanced Non-Small-Cell Lung Carcinoma Patients: A Population-Based Study",

abstract = "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.",

keywords = "Advanced non-small-cell lung cancer, SEER database, nomogram, prognostic factors, survival prediction",

author = "Bo Yang and Mengmeng Teng and Haisheng You and Yalin Dong and Siying Chen",

note = "Publisher Copyright: {\textcopyright} 2023 Taylor \& Francis Group, LLC.",

year = "2023",

doi = "10.1080/07357907.2023.2241547",

language = "英语",

volume = "41",

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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

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 -

A Nomogram for Predicting Survival in Advanced Non-Small-Cell Lung Carcinoma Patients: A Population-Based Study

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