{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["15(1)"],"submitter":["Zhang H"],"pubmed_abstract":["Vitamin D deficiency and elevated CRP (C-reactive protein) levels are independent indicators of risk for mortality in cancer survivors; however, their combined association with mortality has not been examined. This study included adult cancer survivors from four NHANES cycles (2003-2010), utilizing a multistage survey design. CRP levels were measured using a latex-enhanced turbidimetric assay, and serum 25(OH)D levels were assessed using RIA and LC-MS/MS methods. Mortality data were linked with the National Death Index up to 2019. The restricted cubic spline model was used to explore the nonlinear associations with mortality. Kaplan-Meier analysis was used to examine survival curve differences. Cox analysis was employed to assess mortality risk after adjusting for confounding factors, and "],"journal":["Scientific reports"],"pagination":["14798"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12038049"],"repository":["biostudies-literature"],"pubmed_title":["Interaction effects between serum 25(OH)D and CRP status on cancer related mortality in adult cancer survivors."],"pmcid":["PMC12038049"],"pubmed_authors":["Zhang H","Chen X","Sun X","Dou B"],"additional_accession":[]},"is_claimable":false,"name":"Interaction effects between serum 25(OH)D and CRP status on cancer related mortality in adult cancer survivors.","description":"Vitamin D deficiency and elevated CRP (C-reactive protein) levels are independent indicators of risk for mortality in cancer survivors; however, their combined association with mortality has not been examined. This study included adult cancer survivors from four NHANES cycles (2003-2010), utilizing a multistage survey design. CRP levels were measured using a latex-enhanced turbidimetric assay, and serum 25(OH)D levels were assessed using RIA and LC-MS/MS methods. Mortality data were linked with the National Death Index up to 2019. The restricted cubic spline model was used to explore the nonlinear associations with mortality. Kaplan-Meier analysis was used to examine survival curve differences. Cox analysis was employed to assess mortality risk after adjusting for confounding factors, and ","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025 Apr","modification":"2025-07-04T03:06:06.319Z","creation":"2025-07-04T03:06:06.319Z"},"accession":"S-EPMC12038049","cross_references":{"pubmed":["40295518"],"doi":["10.1038/s41598-025-95931-w"]}}