Evidence map›Paper›PMID 35117634›Full record

ArticleTranslational cancer research2020

A nomogram for predicting cancer-specific survival in different age groups for operable gastric cancer: a population-based study.

Shuai Guo, Mu-Yan Shang, Zhe Dong, Jun Zhang, Yue Wang, Zhi-Chao Zheng, Yan Zhao

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Article in Translational cancer research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Shuai Guo *Department of Gastric Cancer, Liaoning Cancer Hospital & Institute, Cancer Hospital of China Medical University, No. 44 Xiaoheyan Road, Dadong District, Shenyang 110042, China.
Mu-Yan Shang *Department of Breast Cancer, Liaoning Cancer Hospital & Institute, Cancer Hospital of China Medical University, No. 44 Xiaoheyan Road, Dadong District, Shenyang 110042, China.
Zhe DongDepartment of Gastric Cancer, Liaoning Cancer Hospital & Institute, Cancer Hospital of China Medical University, No. 44 Xiaoheyan Road, Dadong District, Shenyang 110042, China.
Jun ZhangDepartment of Gastric Cancer, Liaoning Cancer Hospital & Institute, Cancer Hospital of China Medical University, No. 44 Xiaoheyan Road, Dadong District, Shenyang 110042, China.
Yue WangDepartment of Gastric Cancer, Liaoning Cancer Hospital & Institute, Cancer Hospital of China Medical University, No. 44 Xiaoheyan Road, Dadong District, Shenyang 110042, China.
Zhi-Chao ZhengDepartment of Gastric Cancer, Liaoning Cancer Hospital & Institute, Cancer Hospital of China Medical University, No. 44 Xiaoheyan Road, Dadong District, Shenyang 110042, China.
Yan ZhaoDepartment of Gastric Cancer, Liaoning Cancer Hospital & Institute, Cancer Hospital of China Medical University, No. 44 Xiaoheyan Road, Dadong District, Shenyang 110042, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe age thresholds for differentiating young and elderly patients are still under debate. This study aimed to evaluate the cut-off age for differentiating patients along with the prognostic value of age for operable gastric cancer (GC).

methodsPatients diagnosed with resected gastric adenocarcinoma were identified from the National Cancer Institute's Surveillance, Epidemiology, and End Results (SEER) database (training cohort and internal validation cohort) and Liaoning Cancer Hospital (external validation cohort). Kaplan-Meier plots were used to compare cancer-specific survival (CSS) across different age groups. Univariate and multivariate analysis was conducted using a Cox regression model. Predictive ability of the nomogram was determined by the Harrell's concordance index (C-index), calibration curves, and Akaike's Information Criterion (AIC).

resultsA total of 17,339 patients with GC were included. According to the univariate analysis results, CSS was similar among patients aged 20-69 years old, started to worsen for patients over the age of 70, and was the worst for patients older than 79 years in the training cohort. Thus, we further divided the age groups into 20-69, 70-79, and >79, and multivariate analysis showed that patients above 70 years of age had worse CSS. The nomogram was established based on the results of the multivariate analysis. The C-indexes for the training, internal, and external validation cohorts were 0.7531, 0.7344, and 0.7431, respectively.

conclusionsThis study showed that age had a relative predictive ability for CSS, 70 years should be the cut-off age, and age ≥70 years is an independent prognostic risk factor for GC patients who undergo surgery. These data highlight the importance of individualized treatment to improve the prognosis of patients with GC.

Indexed as

Agegastric cancer (GC)nomogramprognosis

Identifiers

PMID35117634
PMCPMC8798211

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.