Cancer Survival and Travel Time to Nearest Reference Care Center for 10 Cancer Sites: An Analysis of 21 French Cancer Registries

Author:

Gardy Joséphine123ORCID,Wilson Sarah3,Guizard Anne-Valérie1,Bouvier Véronique2,Tron Laure3ORCID,Launay Ludivine3,Alves Arnaud2,Launoy Guy3,Molinié Florence4ORCID,Bryère Joséphine3,Dejardin Olivier35ORCID,

Affiliation:

1. Calvados General Tumor Registry, Centre François Baclesse, 14000 Caen, France

2. Calvados Digestive Cancer Registry, University Hospital of Caen, 14000 Caen, France

3. ANTICIPE U1086 INSERM-UCN, University of Caen, 14000 Caen, France

4. FRANCIM Network (French National Network of Cancer Registries), 31000 Toulouse, France

5. Epidemiology Research and Evaluation Unit, Department of Research, University Hospital of Caen, 14033 Caen, France

Abstract

Background: The impact of several non-clinical factors on cancer survival is poorly understood. The aim of this study was to investigate the influence of travel time to the nearest referral center on survival of patients with cancer. Patients and methods: The study used data from the French Network of Cancer Registries that combines all the French population-based cancer registries. For this study, we included the 10 most common solid invasive cancer sites in France between 1 January 2013 and 31 December 2015, representing 160,634 cases. Net survival was measured and estimated using flexible parametric survival models. Flexible excess mortality modelling was performed to investigate the association between travel time to the nearest referral center and patient survival. To allow the most flexible effects, restricted cubic splines were used to investigate the influence of travel times to the nearest cancer center on excess hazard ratio. Results: Among the 1-year and 5-year net survival results, lower survival was observed for patients residing farthest from the referral center for half of the included cancer types. The remoteness gap in survival was estimated to be up to 10% at 5 years for skin melanoma in men and 7% for lung cancer in women. The pattern of the effect of travel time was highly different according to tumor type, being either linear, reverse U-shape, non-significant, or better for more remote patients. For some sites restricted cubic splines of the effect of travel time on excess mortality were observed with a higher excess risk ratio as travel time increased. Conclusions: For numerous cancer sites, our results reveal geographical inequalities, with remote patients experiencing a worse prognosis, aside from the notable exception of prostate cancer. Future studies should evaluate the remoteness gap in more detail with more explanatory factors.

Funder

Ligue Nationale Contre le Cancer

Publisher

MDPI AG

Subject

Cancer Research,Oncology

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