<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>10</volume><submitter>Yang X</submitter><pubmed_abstract>&lt;h4>Purpose&lt;/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.&lt;h4>Methods&lt;/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.&lt;h4>Results&lt;/h4>We identified four SES facto</pubmed_abstract><journal>Frontiers in public health</journal><pagination>992944</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9679653</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Impact of socioeconomic status on cancer staging, survival in non-small cell lung cancer.</pubmed_title><pmcid>PMC9679653</pmcid><pubmed_authors>Yang X</pubmed_authors><pubmed_authors>Deng L</pubmed_authors><pubmed_authors>Wang G</pubmed_authors><pubmed_authors>Zhou Y</pubmed_authors><pubmed_authors>Li M</pubmed_authors></additional><is_claimable>false</is_claimable><name>Impact of socioeconomic status on cancer staging, survival in non-small cell lung cancer.</name><description>&lt;h4>Purpose&lt;/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.&lt;h4>Methods&lt;/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.&lt;h4>Results&lt;/h4>We identified four SES facto</description><dates><release>2022-01-01T00:00:00Z</release><publication>2022</publication><modification>2025-04-25T21:02:16.066Z</modification><creation>2025-04-06T08:34:21.292Z</creation></dates><accession>S-EPMC9679653</accession><cross_references><pubmed>36424960</pubmed><doi>10.3389/fpubh.2022.992944</doi></cross_references></HashMap>