Publication Details

AFRICAN RESEARCH NEXUS

SHINING A SPOTLIGHT ON AFRICAN RESEARCH

biochemistry, genetics and molecular biology

A real-world, population-based study of patterns of referral, treatment, and outcomes for advanced pancreatic cancer

Cancer Medicine, Volume 7, No. 12, Year 2018

Background: To describe patterns of referral, consultation, and treatment of advanced pancreatic cancer patients in a population-based health care system and to evaluate the impact of these factors on outcomes. Methods: This is a retrospective analysis of population-based cancer data from the province of Alberta, Canada. We analyzed patients diagnosed with either locally advanced or metastatic pancreatic adenocarcinoma from 2009 to 2016 and evaluated their patterns of referral to a cancer center, consultation with oncology, and treatment with active anticancer therapies. Logistic regression models were constructed to determine the factors associated with referral, late oncology assessment, and late receipt of treatment. Results: We identified 1621 pancreatic cancer patients. Median age was 70 years, 50% were men, and 51% had a Charlson index of 2+. Within this cohort, only 884 (54%) patients were referred to one of the provincial cancer centers. Adjusting for confounders in logistic regression models, older age and worse comorbidity scores were associated with nonreferral (both P < 0.01). In multivariable analysis among treated patients, the following factors were associated with improved overall survival, including younger age, earlier stage, and better comorbidity scores (all P < 0.01). Neither referral to consultation times nor consultation to treatment times correlated with outcomes. Importantly, nonreferred patients were more likely to use acute care services, including longer total duration of hospitalizations and more frequent visits with physician specialists. Conclusion: A significant proportion of patients with advanced pancreatic cancer were never referred to a cancer center. Nonreferred patients were more likely to utilize specific health care resources.
Statistics
Citations: 12
Authors: 5
Affiliations: 2
Identifiers
Research Areas
Cancer
Study Design
Cross Sectional Study
Cohort Study
Participants Gender
Male