<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>14</volume><submitter>Ma S</submitter><pubmed_abstract>&lt;h4>Objective&lt;/h4>The inflammatory response and the nutritional status are associated with overall survival (OS) in patients with non-small cell lung cancer (NSCLC), but it is unclear which biomarkers are better suited to predict prognosis. This study sought to determine which of the commonly existing inflammatory and nutritional indicators best predicted the OS.&lt;h4>Methods&lt;/h4>This study included 15 compound indicators based on inflammation or nutrition, with cutoff points obtained through the receiver operating characteristic (ROC) curve. Univariate and multivariate Cox proportional risk models were used to evaluate the relationship between these predictors and OS. Kaplan-Meier curves were used for survival analysis, and log-rank tests were used to compare differences between groups. The</pubmed_abstract><journal>Frontiers in oncology</journal><pagination>1396843</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11228243</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Fibrinogen-to-albumin ratio (FAR) is the best biomarker for the overall survival of patients with non-small-cell lung cancer.</pubmed_title><pmcid>PMC11228243</pmcid><pubmed_authors>Ma S</pubmed_authors><pubmed_authors>Wang L</pubmed_authors></additional><is_claimable>false</is_claimable><name>Fibrinogen-to-albumin ratio (FAR) is the best biomarker for the overall survival of patients with non-small-cell lung cancer.</name><description>&lt;h4>Objective&lt;/h4>The inflammatory response and the nutritional status are associated with overall survival (OS) in patients with non-small cell lung cancer (NSCLC), but it is unclear which biomarkers are better suited to predict prognosis. This study sought to determine which of the commonly existing inflammatory and nutritional indicators best predicted the OS.&lt;h4>Methods&lt;/h4>This study included 15 compound indicators based on inflammation or nutrition, with cutoff points obtained through the receiver operating characteristic (ROC) curve. Univariate and multivariate Cox proportional risk models were used to evaluate the relationship between these predictors and OS. Kaplan-Meier curves were used for survival analysis, and log-rank tests were used to compare differences between groups. The</description><dates><release>2024-01-01T00:00:00Z</release><publication>2024</publication><modification>2025-04-04T11:24:28.644Z</modification><creation>2025-04-04T11:24:28.644Z</creation></dates><accession>S-EPMC11228243</accession><cross_references><pubmed>38978733</pubmed><doi>10.3389/fonc.2024.1396843</doi></cross_references></HashMap>