{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["10"],"submitter":["Yang X"],"pubmed_abstract":["<h4>Purpose</h4>We performed this study to evaluate the association of socioeconomic status (SES) factors with cancer-specific survival (CSS) of patients with non-small cell lung cancer (NSCLC). We further assessed the predictive value of a novel Tumor Node Metastasis (TNM)-SES staging system, combining the TNM stage with the SES stage.<h4>Methods</h4>Using the Surveillance, Epidemiology, and End Results (SEER) database, we selected 40,378 patients diagnosed with NSCLC from 2012 to 2016. Cox regression method and Harrell's concordance index (C-index) were performed to select the SES factors related to CSS and evaluate the predictive ability of the novel TNM-SES stage. We used Kaplan-Meier curves and a log-rank test to conduct a survival analysis.<h4>Results</h4>We identified four SES facto"],"journal":["Frontiers in public health"],"pagination":["992944"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9679653"],"repository":["biostudies-literature"],"pubmed_title":["Impact of socioeconomic status on cancer staging, survival in non-small cell lung cancer."],"pmcid":["PMC9679653"],"pubmed_authors":["Yang X","Deng L","Wang G","Zhou Y","Li M"],"additional_accession":[]},"is_claimable":false,"name":"Impact of socioeconomic status on cancer staging, survival in non-small cell lung cancer.","description":"<h4>Purpose</h4>We performed this study to evaluate the association of socioeconomic status (SES) factors with cancer-specific survival (CSS) of patients with non-small cell lung cancer (NSCLC). We further assessed the predictive value of a novel Tumor Node Metastasis (TNM)-SES staging system, combining the TNM stage with the SES stage.<h4>Methods</h4>Using the Surveillance, Epidemiology, and End Results (SEER) database, we selected 40,378 patients diagnosed with NSCLC from 2012 to 2016. Cox regression method and Harrell's concordance index (C-index) were performed to select the SES factors related to CSS and evaluate the predictive ability of the novel TNM-SES stage. We used Kaplan-Meier curves and a log-rank test to conduct a survival analysis.<h4>Results</h4>We identified four SES facto","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022","modification":"2025-04-25T21:02:16.066Z","creation":"2025-04-06T08:34:21.292Z"},"accession":"S-EPMC9679653","cross_references":{"pubmed":["36424960"],"doi":["10.3389/fpubh.2022.992944"]}}