{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Cheng D"],"funding":["U.S. Department of Veterans Affairs","CSRD VA"],"pagination":["3009-3022"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9359868"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["11(15)"],"pubmed_abstract":["<h4>Background</h4>Older patients with non-small cell lung cancer (NSCLC) are a heterogeneous population with varying degrees of frailty. An electronic frailty index such as the Veterans Affairs Frailty Index (VA-FI) can potentially help identify vulnerable patients at high risk of poor outcomes.<h4>Methods</h4>NSCLC patients ≥65 years old and diagnosed in 2002-2017 were identified using the VA Central Cancer Registry. The VA-FI was calculated using administrative codes from VA electronic health records data linked with Medicare and Medicaid data. We assessed associations between the VA-FI and times to mortality, hospitalization, and emergency room (ER) visit following diagnosis by Kaplan-Meier analysis and multivariable stratified Cox models. We also evaluated the change in discrimination"],"journal":["Cancer medicine"],"pubmed_title":["Prognostic value of the veterans affairs frailty index in older patients with non-small cell lung cancer."],"pmcid":["PMC9359868"],"funding_grant_id":["IK2 CX002218"],"pubmed_authors":["Fillmore NR","Cheng D","Tuck DP","Sheikh AR","Brophy MT","Dumontier C","La J","Do NV","Driver JA"],"additional_accession":[]},"is_claimable":false,"name":"Prognostic value of the veterans affairs frailty index in older patients with non-small cell lung cancer.","description":"<h4>Background</h4>Older patients with non-small cell lung cancer (NSCLC) are a heterogeneous population with varying degrees of frailty. An electronic frailty index such as the Veterans Affairs Frailty Index (VA-FI) can potentially help identify vulnerable patients at high risk of poor outcomes.<h4>Methods</h4>NSCLC patients ≥65 years old and diagnosed in 2002-2017 were identified using the VA Central Cancer Registry. The VA-FI was calculated using administrative codes from VA electronic health records data linked with Medicare and Medicaid data. We assessed associations between the VA-FI and times to mortality, hospitalization, and emergency room (ER) visit following diagnosis by Kaplan-Meier analysis and multivariable stratified Cox models. We also evaluated the change in discrimination","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022 Aug","modification":"2025-04-04T03:40:05.364Z","creation":"2025-04-04T03:40:05.364Z"},"accession":"S-EPMC9359868","cross_references":{"pubmed":["35338613"],"doi":["10.1002/cam4.4658"]}}