Socioeconomic disparities in survival from XXXX in the United States and globally: a meta-analysis.

@entity1 @entity981 @entity5 @entity3052 @entity1778 @entity1017 @entity159
BACKGROUND: Despite advancements in the treatment of @entity1778 , @entity159 ( @entity159 ) may potentially affect disease prognosis. This study aims to evaluate whether @entity159 is associated with survival from @entity1778 . METHODS: The US National @entity5 Institute Surveillance, Epidemiology and End Results Program (SEER) 1973-2010 data were analyzed; thereafter, results were meta-analyzed along with those from survival (cohort) studies examining the association between @entity159 indices and survival from @entity1778 (end-of-search date: 31 March 2014). Random-effects models were used to calculate pooled effect estimates (relative risks, RRs); meta-regression was also used. RESULTS: We included 29 studies yielding 28 804 @entity981 ( @entity981 ), 3208 @entity3052 ( @entity3052 ) and 27 650 'any' @entity1778 (denoting joint reporting of all subtypes) cases. According to individual-level composite @entity159 indices, @entity1 from low @entity159 suffered from nearly twofold higher death rates from @entity981 (pooled RR: 1.83, 95% confidence interval 1.00-3.34, based on four study arms); likewise, death RRs derived from an array of lower area-level @entity159 indices ranged between 1.17 and 1.33 (based on 11 study arms). Importantly, the survival gap between higher and lower @entity159 seemed wider in the United States, with considerably (by 20%-82%) increased RRs for death from @entity981 in lower @entity159 . Regarding @entity3052 , poorer survival was evident only when area-level @entity159 indices were used. Lastly, remoteness indices were not associated with survival from @entity1778 . CONCLUSION: @entity1 with lower @entity159 suffering @entity1778 do not seem to equally enjoy the @entity1017 . Special health policy strategies and increased awareness of health providers might minimize the effects of socioeconomic disparities.
