{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["23(1)"],"submitter":["Li T"],"pubmed_abstract":["<h4>Objective</h4>Evidence on the association between the creatinine to body weight (Cre/BW) ratio and the risk of pre-diabetes to diabetes development remains limited. Our study aimed to examine the association between the Cre/BW ratio and incident diabetes in pre-diabetic patients.<h4>Methods</h4>This retrospective cohort study included 24,506 pre-diabetic participants who underwent health checks from 2010 to 2016 in China. We used the Cox proportional-hazards regression model to explore the relationship between baseline Cre/BW ratio and diabetes risk in pre-diabetes patients. Using a Cox proportional hazards regression with cubic spline function and smooth curve fitting (cubical spline smoothing), we were able to determine the non-linear relationship between them. We also carried out a "],"journal":["BMC endocrine disorders"],"pagination":["266"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC10694873"],"repository":["biostudies-literature"],"pubmed_title":["The association between creatinine to body weight ratio and the risk of progression to diabetes from pre-diabetes: a 5-year cohort study in Chinese adults."],"pmcid":["PMC10694873"],"pubmed_authors":["Li T","Wei C","Xiao X","Cao C","Xuan X","Liu W"],"additional_accession":[]},"is_claimable":false,"name":"The association between creatinine to body weight ratio and the risk of progression to diabetes from pre-diabetes: a 5-year cohort study in Chinese adults.","description":"<h4>Objective</h4>Evidence on the association between the creatinine to body weight (Cre/BW) ratio and the risk of pre-diabetes to diabetes development remains limited. Our study aimed to examine the association between the Cre/BW ratio and incident diabetes in pre-diabetic patients.<h4>Methods</h4>This retrospective cohort study included 24,506 pre-diabetic participants who underwent health checks from 2010 to 2016 in China. We used the Cox proportional-hazards regression model to explore the relationship between baseline Cre/BW ratio and diabetes risk in pre-diabetes patients. Using a Cox proportional hazards regression with cubic spline function and smooth curve fitting (cubical spline smoothing), we were able to determine the non-linear relationship between them. We also carried out a ","dates":{"release":"2023-01-01T00:00:00Z","publication":"2023 Dec","modification":"2026-05-28T09:01:10.132Z","creation":"2026-05-15T03:07:35.897Z"},"accession":"S-EPMC10694873","cross_references":{"pubmed":["38044422"],"doi":["10.1186/s12902-023-01518-9"]}}