Ontology highlight
ABSTRACT: Background
The objective of this study was to assess the impact of pre-existing diabetes on breast cancer prognosis.Methods
Women (n=2833) with centrally confirmed invasive breast cancer in the Women's Health Initiative, who were linked to Medicare claims data (CMS) were followed from the date of breast cancer diagnosis to date of death or 20 September 2013. Information on diabetes was identified through the CMS Chronic Condition Warehouse algorithm. Cox proportional hazard regression was used to estimate adjusted hazard ratios for overall mortality. A competing risks model (proportional subdistribution) model was used to estimate hazard ratios for breast cancer-specific mortality.Results
Women with diabetes were more likely to have factors related to delayed diagno
SUBMITTER: Luo J
PROVIDER: S-EPMC4559825 | biostudies-literature | 2015 Sep
REPOSITORIES: biostudies-literature