Distance to the pediatric oncology center does not affect survival in children with acute lymphoblastic leukemia: a report from CYP-C.

Remoteness is associated with worse survival in adults with cancer. We aimed to determine whether remoteness is associated with cancer outcomes in pediatric acute lymphoblastic leukemia (ALL). Canadian children with ALL entered in the CYP-C registry were included. The predictive impact of remoteness on overall survival (OS), relapse, and treatment-related complications (infections, thrombosis, bleeding, and osteonecrosis) was estimated using multivariate regression models. We included 1383 children, of whom 277 (20.0%) lived remotely (>200 km from the pediatric oncology center). The median latency to see a pediatric oncologist was longer in children living remotely. The 5-year OS (95% CI) was similar for both groups (remote: 95.2% [93.7-96.3%] vs close: 94.1% [90.5-95.2%]). No difference was found in the relapse rate between both groups and in treatment-related complications. Remoteness did not affect survival in pediatric ALL. Further research is needed to determine which models of healthcare organization optimize cancer outcomes and patients' satisfaction.

Enrollment on clinical trials does not improve survival for children with acute myeloid leukemia: A population-based study.

BACKGROUND: It is questionable whether enrollment on clinical trials offers any survival advantage at the population level over standard-of-care treatment. The objectives of this study were to describe the impact of trial enrollment on event-free survival and overall survival in pediatric acute myeloid leukemia (AML) using the Cancer in Young People in Canada (CYP-C) database. METHODS: Children were included if they had had AML newly diagnosed between ages birth and 14 years from 2001 to 2012. CYP-C is a national pediatric cancer population-based database that includes all cases of pediatric cancer diagnosed and treated at 1 of the 17 tertiary pediatric oncology centers in Canada. Univariate and Cox proportional hazards models were used to evaluate the impact of initial trial enrollment on survival. RESULTS: In total, 397 eligible children with AML were included in the analysis, of whom 94 (23.7%) were enrolled on a clinical trial at initial diagnosis. The most common reason for non-enrollment was that no trial was available. The event-free survival rate at 5 years was 57.8% ± 5.2% for those enrolled versus 54.8% ± 2.9% for those not enrolled (P = .75). The overall survival rate at 5 years was 70.1% ± 4.9% for those enrolled versus 66.3% ± 2.8% for those not enrolled (P = .58). Enrollment on a trial was not associated with improved event-free or overall survival in multiple regression analyses. CONCLUSIONS: Enrollment on a clinical trial was not associated with improved survival for children with AML in a population-based cohort. Rationale for trial enrollment should not include the likelihood of benefit compared with non-enrollment.

Enrolling children with acute lymphoblastic leukaemia on a clinical trial improves event-free survival: a population-based study.

BACKGROUND: The objectives of this study were to describe the impact of trial enrollment at diagnosis on event-free and overall survival in paediatric acute lymphoblastic leukaemic (ALL) using a population-based approach. METHODS: We conducted a retrospective cohort study that included children newly diagnosed with ALL between 1 and 14 years of age. The data source was the Cancer in Young People in Canada (CYP-C) national paediatric cancer population-based database. We conducted univariate and multiple Cox proportional hazards models. RESULTS: There were 2569 children with ALL; 1408 (54.8%) were enrolled on a clinical trial at initial diagnosis. Event-free survival at 5 years was 89.8%±0.9 vs 84.1%±1.2. (P<0.0001) for those enrolled and not enrolled on a clinical trial, respectively. Overall survival at 5 years was higher for those enrolled (94.1%±0.7) vs not enrolled (90.5%±1.0; P=0.001). In a model that adjusted for demographic, leukaemic and socioeconomic factors, enrollment on trials was significantly associated with better event-free survival (hazard ratio (HR) 0.67, 95% confidence interval (CI) 0.47-0.95; P=0.023), but not overall survival (HR 0.69, 95% CI 0.44-1.08; P=0.102). CONCLUSIONS: Event-free survival was significantly better in children with ALL enrolled on a clinical trial. Future research should identify barriers to clinical trial enrollment for children with ALL.

Most children with cancer are not enrolled on a clinical trial in Canada: a population-based study.

BACKGROUND: Primary objective was to describe the proportion of children newly diagnosed with cancer enrolled on a therapeutic clinical trial. Secondary objectives were to describe reasons for non-enrollment and factors associated with enrollment on trials. METHODS: In this retrospective cohort study, we included children newly diagnosed with cancer between 0 and 14 years of age and diagnosed from 2001 to 2012. We used data from the Cancer in Young People in Canada (CYP-C) national pediatric cancer population-based database. CYP-C captures all cases of pediatric cancer (0-14 years) diagnosed and treated at one of the 17 tertiary pediatric oncology centers in Canada. Non-enrollment was evaluated using univariate and multiple logistic regression analysis. RESULTS: There were 9204 children with cancer included, of whom 2533 (27.5%) were enrolled on a clinical trial. The most common reasons cited for non-enrollment were lack of an available trial (52.2%) and physician choice (11.2%). In multiple regression, Asian and Arab/west Asian race were associated with lower enrollment (P = 0.006 and P = 0.032 respectively). All cancer diagnoses were more likely to be enrolled compared to astrocytoma and children with acute lymphoblastic leukemia had an almost 18-fold increased odds of enrollment compared to astrocytoma (P < 0.0001). Greater distance from the tertiary care center was independently associated with non-enrollment (P < 0.0001). CONCLUSIONS: In Canada, 27.5% of children with cancer are enrolled onto therapeutic clinical trials and lack of an available trial is the most common reason contributing to non-enrollment. Future research should better understand reasons for lack of trial availability and physician preferences to not offer trials.