UNASSIGNED: To examine the association of major types of comorbidity with @entity5 , a random sample of 11,083 @entity1 diagnosed with @entity263 during 2002-2007 was taken from the Florida Cancer Data System. Individual-level covariates included demographics, primary insurance payer, and comorbidity following the Elixhauser Index. Socioeconomic variables were extracted from Census 2000 data and merged to the individual level data. Provider-to-case ratio at county level was alsocomputed. Multilevel logistic regression was used to assess associations between these factors and late-stage diagnosis of @entity263 . Higher odds of late-stage diagnosis was significantly related to presence of comorbidities, being unmarried, current smoker, uninsured, and diagnosed in not-for-profit hospitals. The study reported that the presence of certain comorbidities, specifically 10 out of the 45, was associated with @entity5 diagnosis. Eight out of 10 significant comorbid conditions were associated with greater risk of being diagnosed at @entity5 . On the other hand, @entity1 who had chronic @entity5 without @entity3 , were less likely to be diagnosed with @entity5 . Late-stage diagnosis was associated with comorbidity, which is often associated with increased health care utilization. The association of comorbidity with @entity5 diagnosis suggests that individuals with significant comorbidity should be offered routine screening for @entity263 rather than focusing only on managing symptomatic health problems.

Impact of Comorbidities on XXXX Stage at Diagnosis in Florida.

@entity5 :: ('MESH:D009369', 'Disease') :: ['pulmonary disease, and solid tumor', 'late-stage prostate cancer'] @entity1 :: ('9606', 'Species') :: ['men'] @entity263 :: ('MESH:D011471', 'Disease') :: ['prostate cancer'] @entity3 :: ('MESH:D009362', 'Disease') :: ['metastasis']
@entity263 :: (MESH:D011471,Disease) :: ['Prostate Cancer']
