Dataset Information

Understanding disparities in cancer prognosis: An extension of mediation analysis to the relative survival framework.

ABSTRACT: Mediation analysis can be applied to investigate the effect of a third variable on the pathway between an exposure and the outcome. Such applications include investigating the determinants that drive differences in cancer survival across subgroups. However, cancer disparities may be the result of complex mechanisms that involve both cancer-related and other-cause mortality differences making it difficult to identify the causing factors. Relative survival, a commonly used measure in cancer epidemiology, can be used to focus on cancer-related differences. We extended mediation analysis to the relative survival framework for exploring cancer inequalities. The marginal effects were obtained using regression standardization, after fitting a relative survival model. Contrasts of interests included both marginal relative survival and marginal all-cause survival differences between exposure groups. Such contrasts include the indirect effect due to a mediator that is identifiable under certain assumptions. A separate model was fitted for the mediator and uncertainty was estimated using parametric bootstrapping. The avoidable deaths under interventions can also be estimated to quantify the impact of eliminating differences. The methods are illustrated using data for individuals diagnosed with colon cancer. Mediation analysis within relative survival allows focus on factors that account for cancer-related differences instead of all-cause differences and helps improve our understanding on cancer inequalities.

SUBMITTER: Syriopoulou E

PROVIDER: S-EPMC7898837 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature

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Understanding disparities in cancer prognosis: An extension of mediation analysis to the relative survival framework.

Syriopoulou Elisavet E Rutherford Mark J MJ Lambert Paul C PC

Biometrical journal. Biometrische Zeitschrift 20201214 2

Mediation analysis can be applied to investigate the effect of a third variable on the pathway between an exposure and the outcome. Such applications include investigating the determinants that drive differences in cancer survival across subgroups. However, cancer disparities may be the result of complex mechanisms that involve both cancer-related and other-cause mortality differences making it difficult to identify the causing factors. Relative survival, a commonly used measure in cancer epidem ...[more]

PMID: 33314292

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Project description:BackgroundReports indicate that black patients have lower survival after the diagnosis of a poor prognosis cancer, compared with white patients. We explored the extent to which this disparity is attributable to the underuse of surgery.Study designUsing the Surveillance, Epidemiology, and End Results program and Medicare database, we identified 57,364 patients, ages 65 years and older, with a new diagnosis of nonmetastatic liver, lung, pancreatic, and esophageal cancer, from 2000 to 2005. We evaluated racial differences in resection rates after adjustment for patient, tumor, and hospital characteristics using hierarchical logistic regression. Cox proportional hazards regression was used to assess racial differences in survival after adjusting for patient, tumor, and hospital characteristics, and receipt of surgery.ResultsCompared with white patients, black patients were less likely to undergo surgery for liver (adjusted odds ratio [aOR] = 0.49; 95% CI, 0.29-0.83), lung (aOR = 0.62; 95% CI, 0.56-0.69), pancreas (aOR = 0.53; 95% CI, 0.41-0.70), and esophagus cancers (aOR = 0.64; 95% CI, 0.42-0.99). Hospitals varied in their surgery rates among patients with potentially resectable disease. However, resection rates were consistently lower for black patients, regardless of the resection rate of the treating hospital. Although there were no racial differences in overall survival with liver and esophageal cancer, black patients experienced poorer survival for lung (adjusted hazard ratio = 1.05; 95% CI, 1.00-1.10) and pancreas cancer (adjusted hazard ratio = 1.15; 95% CI, 1.03-1.30). In both instances, there were no residual racial disparities in overall survival after adjusting for use of surgery.ConclusionsBlack patients are less likely to undergo surgery after diagnosis of a poor prognosis cancer. Our findings suggest that surgery is an important predictor of overall mortality, and that efforts to reduce racial disparities will require stakeholders to gain a better understanding of why elderly black patients are less likely to get to the operating room.

Dataset Information

Understanding disparities in cancer prognosis: An extension of mediation analysis to the relative survival framework.

Publications

Understanding disparities in cancer prognosis: An extension of mediation analysis to the relative survival framework.

Similar Datasets

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