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52. Evaluation of a mobile mammography unit. Concepts and randomized cluster trial protocol of a population health intervention research to reduce breast cancer screening inequalities

Author

Guillaume, Elodie, primary, Rollet, Quentin, additional, Launay, Ludivine, additional, Beuriot, Séverine, additional, Dejardin, Olivier, additional, Notari, Annick, additional, Crevel, Elodie, additional, Benhammouda, Ahmed, additional, Verzeau, Laurent, additional, Quertier, Marie-Christine, additional, and Launoy, Guy, additional

Published
2022
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54. sj-docx-4-msj-10.1177_13524585221129963 – Supplemental material for Low socioeconomic status was associated with a higher mortality risk in multiple sclerosis

Author

Calocer, Floriane, Ng, Huah Shin, Zhu, Feng, Zhao, Yinshan, Dejardin, Olivier, Leray, Emmanuelle, Defer, Gilles, Evans, Charity, Fisk, John D, Marrie, Ruth Ann, and Tremlett, Helen

Subjects
FOS: Clinical medicine, 111702 Aged Health Care, FOS: Health sciences, 110904 Neurology and Neuromuscular Diseases
Abstract

Supplemental material, sj-docx-4-msj-10.1177_13524585221129963 for Low socioeconomic status was associated with a higher mortality risk in multiple sclerosis by Floriane Calocer, Huah Shin Ng, Feng Zhu, Yinshan Zhao, Olivier Dejardin, Emmanuelle Leray, Gilles Defer, Charity Evans, John D Fisk, Ruth Ann Marrie and Helen Tremlett in Multiple Sclerosis Journal

Published
2022
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55. sj-docx-1-msj-10.1177_13524585221129963 – Supplemental material for Low socioeconomic status was associated with a higher mortality risk in multiple sclerosis

Author

Calocer, Floriane, Ng, Huah Shin, Zhu, Feng, Zhao, Yinshan, Dejardin, Olivier, Leray, Emmanuelle, Defer, Gilles, Evans, Charity, Fisk, John D, Marrie, Ruth Ann, and Tremlett, Helen

Subjects
FOS: Clinical medicine, 111702 Aged Health Care, FOS: Health sciences, 110904 Neurology and Neuromuscular Diseases
Abstract

Supplemental material, sj-docx-1-msj-10.1177_13524585221129963 for Low socioeconomic status was associated with a higher mortality risk in multiple sclerosis by Floriane Calocer, Huah Shin Ng, Feng Zhu, Yinshan Zhao, Olivier Dejardin, Emmanuelle Leray, Gilles Defer, Charity Evans, John D Fisk, Ruth Ann Marrie and Helen Tremlett in Multiple Sclerosis Journal

Published
2022
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56. sj-docx-2-msj-10.1177_13524585221129963 – Supplemental material for Low socioeconomic status was associated with a higher mortality risk in multiple sclerosis

Author

Calocer, Floriane, Ng, Huah Shin, Zhu, Feng, Zhao, Yinshan, Dejardin, Olivier, Leray, Emmanuelle, Defer, Gilles, Evans, Charity, Fisk, John D, Marrie, Ruth Ann, and Tremlett, Helen

Subjects
FOS: Clinical medicine, 111702 Aged Health Care, FOS: Health sciences, 110904 Neurology and Neuromuscular Diseases
Abstract

Supplemental material, sj-docx-2-msj-10.1177_13524585221129963 for Low socioeconomic status was associated with a higher mortality risk in multiple sclerosis by Floriane Calocer, Huah Shin Ng, Feng Zhu, Yinshan Zhao, Olivier Dejardin, Emmanuelle Leray, Gilles Defer, Charity Evans, John D Fisk, Ruth Ann Marrie and Helen Tremlett in Multiple Sclerosis Journal

Published
2022
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57. sj-docx-3-msj-10.1177_13524585221129963 – Supplemental material for Low socioeconomic status was associated with a higher mortality risk in multiple sclerosis

Author

Calocer, Floriane, Ng, Huah Shin, Zhu, Feng, Zhao, Yinshan, Dejardin, Olivier, Leray, Emmanuelle, Defer, Gilles, Evans, Charity, Fisk, John D, Marrie, Ruth Ann, and Tremlett, Helen

Subjects
FOS: Clinical medicine, 111702 Aged Health Care, FOS: Health sciences, 110904 Neurology and Neuromuscular Diseases
Abstract

Supplemental material, sj-docx-3-msj-10.1177_13524585221129963 for Low socioeconomic status was associated with a higher mortality risk in multiple sclerosis by Floriane Calocer, Huah Shin Ng, Feng Zhu, Yinshan Zhao, Olivier Dejardin, Emmanuelle Leray, Gilles Defer, Charity Evans, John D Fisk, Ruth Ann Marrie and Helen Tremlett in Multiple Sclerosis Journal

Published
2022
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61. How do age and social environment affect the dynamics of death hazard and survival in patients with breast or gynecological cancer in France?

Author

POISEUIL, Marie, Tron, Laure, WORONOFF, Anne Sophie, Tretarre, Brigitte, Dabakuyo-Yonli, Sandrine, Fauvernier, Mathieu, Roche, Laurent, Dejardin, Olivier, Molinie, Florence, Launoy, Guy, FRENCH NETWORK OF CANCER, Registries, Bordeaux population health (BPH), Université de Bordeaux (UB)-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM), and Ligue Contre le Cancer

Subjects
Adult, Cancer Research, Deprivation, Genital Neoplasms, Female, Population, Breast Neoplasms, Affect (psychology), 03 medical and health sciences, Net survival, 0302 clinical medicine, Breast cancer, Medicine, Humans, Social inequality, 030212 general & internal medicine, Registries, education, Aged, Cervical cancer, Aged, 80 and over, education.field_of_study, business.industry, Age Factors, Social environment, Cancer, Middle Aged, medicine.disease, Prognosis, 3. Good health, Survival Rate, Oncology, Socioeconomic Factors, 030220 oncology & carcinogenesis, Gynecological cancer, Female, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, France, business, Ovarian cancer, Demography, Follow-Up Studies
Abstract

Several studies have investigated the association between net survival and social inequalities in people with cancer, highlighting a varying influence of deprivation depending on the type of cancer studied. However, few of these studies have accounted for the effect of social inequalities over the follow-up period, and/or according to the age of the patients. Thus, using recent and more relevant statistical models, we investigated the effect of social environment on net survival in women with breast or gynecological cancer in France. The data were derived from population-based cancer registries, and women diagnosed with breast or gynecological cancer between 2006 and 2009 were included. We used the European Deprivation Index (EDI), an aggregated index, to define the social environment of the women included. Multidimensional penalized splines were used to model excess mortality hazard. We observed a significant effect of the EDI on net survival in women with breast cancer throughout the follow-up period, and especially at 1.5 years of follow-up in women with cervical cancer. Regarding corpus uteri and ovarian cancer patients, the effect of deprivation on net survival was less pronounced. These results highlight the impact of social environment on net survival in women with breast or gynecological cancer in France thanks to a relevant statistical approach, and identify the follow-up periods during which the social environment may have a particular influence. These findings could help investigate targeted actions for each cancer type, particularly in the most deprived areas, at the time of diagnosis and during follow-up.

Published
2021
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63. Impact of the social deprivation on the psychosocial difficulties of pediatric cancer survivors: a prospective multicentric study

Author

Delehaye, Fanny, primary, Dejardin, Olivier, additional, pellier, isabelle, additional, Launay, Ludivine, additional, Esvan, Maxime, additional, Bodet, Damien, additional, Carausu, Liana, additional, Lejeune, Julien, additional, Millot, Frederic, additional, Thomas, caroline, additional, Gandemer, Virginie, additional, Alves, Arnaud, additional, and Rod, julien, additional

Published
2021
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64. Construction of an adaptable European transnational ecological deprivation index: the French version

Author

Pornet, Carole, Delpierre, Cyrille, Dejardin, Olivier, Grosclaude, Pascale, Launay, Ludivine, Guittet, Lydia, Lang, Thierry, Launoy, Guy, Pornet, Carole, Delpierre, Cyrille, Dejardin, Olivier, Grosclaude, Pascale, Launay, Ludivine, Guittet, Lydia, Lang, Thierry, and Launoy, Guy

Abstract

Background: Studying social disparities in health implies the ability to measure them accurately, to compare them between different areas or countries and to follow trends over time. This study proposes a method for constructing a French European deprivation index, which will be replicable in several European countries and is related to an individual deprivation indicator constructed from a European survey specifically designed to study deprivation. Methods and Results: Using individual data from the European Union Statistics on Income and Living Conditions survey, goods/services indicated by individuals as being fundamental needs, the lack of which reflect deprivation, were selected. From this definition, which is specific to a cultural context, an individual deprivation indicator was constructed by selecting fundamental needs associated both with objective and subjective poverty. Next, the authors selected among variables available both in the European Union Statistics on Income and Living Conditions survey and French national census those best reflecting individual experience of deprivation using multivariate logistic regression. An ecological measure of deprivation was provided for all the smallest French geographical units. Preliminary validation showed a higher association between the French European Deprivation Index (EDI) score and both income and education than the Townsend index, partly ensuring its ability to measure individual socioeconomic status. Conclusion: This index, which is specific to a particular cultural and social policy context, could be replicated in 25 other European countries, thereby allowing European comparisons. EDI could also be reproducible over time. EDI could prove to be a relevant tool in evidence-based policy-making for measuring and reducing social disparities in health issues and even outside the medical domain.

Published
2021

65. Describing the association between socioeconomic inequalities and cancer survival: methodological guidelines and illustration with population-based data

Author

Belot, Aurélien, Remontet, Laurent, Rachet, Bernard, Dejardin, Olivier, Charvat, Hadrien, Bara, Simona, Guizard, Anne-Valérie, Roche, Laurent, Launoy, Guy, Bossard, Nadine, Belot, Aurélien, Remontet, Laurent, Rachet, Bernard, Dejardin, Olivier, Charvat, Hadrien, Bara, Simona, Guizard, Anne-Valérie, Roche, Laurent, Launoy, Guy, and Bossard, Nadine

Abstract

Background: Describing the relationship between socioeconomic inequalities and cancer survival is important but methodologically challenging. We propose guidelines for addressing these challenges and illustrate their implementation on French population-based data. Methods: We analyzed 17 cancers. Socioeconomic deprivation was measured by an ecological measure, the European Deprivation Index (EDI). The Excess Mortality Hazard (EMH), ie, the mortality hazard among cancer patients after accounting for other causes of death, was modeled using a flexible parametric model, allowing for nonlinear and/or time-dependent association between the EDI and the EMH. The model included a cluster-specific random effect to deal with the hierarchical structure of the data. Results: We reported the conventional age-standardized net survival (ASNS) and described the changes of the EMH over the time since diagnosis at different levels of deprivation. We illustrated nonlinear and/or time-dependent associations between the EDI and the EMH by plotting the excess hazard ratio according to EDI values at different times after diagnosis. The median excess hazard ratio quantified the general contextual effect. Lip–oral cavity–pharynx cancer in men showed the widest deprivation gap, with 5-year ASNS at 41% and 29% for deprivation quintiles 1 and 5, respectively, and we found a nonlinear association between the EDI and the EMH. The EDI accounted for a substantial part of the general contextual effect on the EMH. The association between the EDI and the EMH was time dependent in stomach and pancreas cancers in men and in cervix cancer. Conclusion: The methodological guidelines proved efficient in describing the way socioeconomic inequalities influence cancer survival. Their use would allow comparisons between different health care systems.

Published
2021

70. ‘French LARS score’: validation of the French version of the low anterior resection syndrome (LARS) score for measuring bowel dysfunction after sphincter-preserving surgery among rectal cancer patients: a study protocol

Author

Eid, Yassine, primary, Bouvier, Véronique, additional, Dejardin, Olivier, additional, Menahem, Benjamin, additional, Chaillot, Fabien, additional, Chene, Yannick, additional, Dutheil, Jean Jacques, additional, Juul, Therese, additional, Morello, Rémy, additional, and Alves, Arnaud, additional

Published
2020
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71. Is self-care dialysis associated with social deprivation in a universal health care system? A cohort study with data from the Renal Epidemiology and Information Network Registry

Author

Beaumier, Mathilde, primary, Béchade, Clémence, additional, Dejardin, Olivier, additional, Lassalle, Mathilde, additional, Vigneau, Cécile, additional, Longlune, Nathalie, additional, Launay, Ludivine, additional, Couchoud, Cécile, additional, Ficheux, Maxence, additional, Lobbedez, Thierry, additional, and Châtelet, Valérie, additional

Published
2019
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72. How do age and social environment affect the dynamics of death hazard and survival in patients with breast or gynecological cancer in France?

Author

Poiseuil, Marie, Tron, Laure, Woronoff, Anne‐Sophie, Trétarre, Brigitte, Dabakuyo‐Yonli, Tienhan Sandrine, Fauvernier, Mathieu, Roche, Laurent, Dejardin, Olivier, Molinié, Florence, and Launoy, Guy

Subjects
BREAST cancer, OVERALL survival, SOCIAL context, UTERINE cancer, CERVICAL cancer, OVARIAN cancer
Abstract

Several studies have investigated the association between net survival (NS) and social inequalities in people with cancer, highlighting a varying influence of deprivation depending on the type of cancer studied. However, few of these studies have accounted for the effect of social inequalities over the follow‐up period, and/or according to the age of the patients. Thus, using recent and more relevant statistical models, we investigated the effect of social environment on NS in women with breast or gynecological cancer in France. The data were derived from population‐based cancer registries, and women diagnosed with breast or gynecological cancer between 2006 and 2009 were included. We used the European deprivation index (EDI), an aggregated index, to define the social environment of the women included. Multidimensional penalized splines were used to model excess mortality hazard. We observed a significant effect of the EDI on NS in women with breast cancer throughout the follow‐up period, and especially at 1.5 years of follow‐up in women with cervical cancer. Regarding corpus uteri and ovarian cancer patients, the effect of deprivation on NS was less pronounced. These results highlight the impact of social environment on NS in women with breast or gynecological cancer in France thanks to a relevant statistical approach, and identify the follow‐up periods during which the social environment may have a particular influence. These findings could help investigate targeted actions for each cancer type, particularly in the most deprived areas, at the time of diagnosis and during follow‐up. What's new? Several studies have investigated the association between net survival and social inequalities in cancer, highlighting a varying influence of deprivation depending on the cancer type. Here, using a new statistical approach with flexible modelling via penalised splines, the authors show a substantial effect of social environment on net breast cancer and cervical cancer survival. In addition, their results reveal the complex effects of deprivation on survival in corpus uteri and cervical cancer, such as time‐dependent effects and age interactions. The findings could help investigate targeted actions, particularly in the most deprived areas, at the time of diagnosis and during follow‐up. [ABSTRACT FROM AUTHOR]

Published
2022
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73. For patients with breast cancer, geographic and social disparities are independent determinants of access to specialized surgeons. A eleven-year population-based multilevel analysis

Author

Gentil Julie, Dabakuyo Tienhan, Ouedraogo Samiratou, Poillot Marie-Laure, Dejardin Olivier, and Arveux Patrick

Subjects
Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract

Abstract Background It has been shown in several studies that survival in cancer patients who were operated on by a high-volume surgeon was better. Why then do all patients not benefit from treatment by these experienced surgeons? The aim of our work was to study the hypothesis that in breast cancer, geographical isolation and the socio-economic level have an impact on the likelihood of being treated by a specialized breast-cancer surgeon. Methods All cases of primary invasive breast cancer diagnosed in the Côte d’Or from 1998 to 2008 were included. Individual clinical data and distance to the nearest reference care centre were collected. The Townsend Index of each residence area was calculated. A Log Rank test and a Cox model were used for survival analysis, and a multilevel logistic regression model was used to determine predictive factors of being treated or not by a specialized breast cancer surgeon. Results Among our 3928 patients, the ten-year survival of the 2931 (74.6 %) patients operated on by a high-volume breast cancer surgeon was significantly better (LogRank p Conclusions A disadvantageous socio-economic environment, a rural lifestyle and living far from large specialized treatment centres were significant independent predictors of not gaining access to surgeons specialized in breast cancer. Not being treated by a specialist surgeon implies a less favourable outcome in terms of survival.

Published
2012
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74. Describing the association between socioeconomic inequalities and cancer survival: methodological guidelines and illustration with population-based data

Author

Belot, Aurélien, Remontet, Laurent, Rachet, Bernard, Dejardin, Olivier, Charvat, Hadrien, Bara, Simona, Guizard, Anne-Valérie, Roche, Laurent, Launoy, Guy, Bossard, Nadine, London School of Hygiene and Tropical Medicine (LSHTM), Service de Biostatistiques [Lyon], Hospices Civils de Lyon (HCL), Laboratoire de Biométrie et Biologie Evolutive - UMR 5558 (LBBE), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS), Unité de recherche interdisciplinaire pour la prévention et le traitement des cancers (ANTICIPE), CHU Caen, Normandie Université (NU)-Tumorothèque de Caen Basse-Normandie (TCBN)-Normandie Université (NU)-Tumorothèque de Caen Basse-Normandie (TCBN)-Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre Régional de Lutte contre le Cancer François Baclesse [Caen] (UNICANCER/CRLC), UNICANCER-Tumorothèque de Caen Basse-Normandie (TCBN)-Normandie Université (NU)-UNICANCER, Registre des cancers digestifs du Calvados [CHU Caen], Normandie Université (NU)-Tumorothèque de Caen Basse-Normandie (TCBN)-Normandie Université (NU)-Tumorothèque de Caen Basse-Normandie (TCBN)-Centre Régional de Lutte contre le Cancer François Baclesse [Caen] (UNICANCER/CRLC), National Cancer Center Research Institute [Tokyo], Centre Hospitalier Public du Cotentin (CHPC), Centre Régional de Lutte contre le Cancer François Baclesse [Caen] (UNICANCER/CRLC), UNICANCER-Tumorothèque de Caen Basse-Normandie (TCBN)-Normandie Université (NU), Biostatistiques santé, Département biostatistiques et modélisation pour la santé et l'environnement [LBBE], Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS)-Laboratoire de Biométrie et Biologie Evolutive - UMR 5558 (LBBE), IRESP (Institut de Recherche en Santé Publique) supported the study (grant for the ANGEFLEX study, Convention AAR2013-13 'Soutien à la recherche statistique et mathématique appliquée à la cancérologie'). This work was also partly supported by Cancer Research UK grant number C7923/A18525., Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-CHU Caen, Normandie Université (NU)-Tumorothèque de Caen Basse-Normandie (TCBN)-Tumorothèque de Caen Basse-Normandie (TCBN)-Centre Régional de Lutte contre le Cancer François Baclesse [Caen] (UNICANCER/CRLC), Normandie Université (NU)-UNICANCER-Tumorothèque de Caen Basse-Normandie (TCBN)-UNICANCER-Institut National de la Santé et de la Recherche Médicale (INSERM), Normandie Université (NU)-UNICANCER-Tumorothèque de Caen Basse-Normandie (TCBN)-UNICANCER, CH Centre Hospitalier Public du Cotentin (CHPC), Normandie Université (NU)-UNICANCER-Tumorothèque de Caen Basse-Normandie (TCBN), and Duchange, Nathalie

Subjects
inequality, Ungleichheit, Frankreich, socioeconomic factors, [SDV.CAN]Life Sciences [q-bio]/Cancer, Sociology & anthropology, cancer net survival, socioeconomic inequalities, European Deprivation Index, excess mortality hazard, flexible parametric model, EU-SILC 2006, European Deprivation Index (EDI), sozioökonomische Faktoren, Sterblichkeit, [SDV.CAN] Life Sciences [q-bio]/Cancer, Medical Sociology, cancer, Clinical Epidemiology, soziale Deprivation, Original Research, Krebs, mortality, social deprivation, Soziologie, Anthropologie, France, ddc:301, Medizinsoziologie
Abstract

Aurélien Belot,1-3 Laurent Remontet,3,4 Bernard Rachet,1 Olivier Dejardin,5,6 Hadrien Charvat,7 Simona Bara,8 Anne-Valérie Guizard,5,9 Laurent Roche,3,4 Guy Launoy,5,6 Nadine Bossard3,4 1Cancer Survival Group, Department of Non-Communicable Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom; 2Non-Communicable Diseases and Trauma Direction, The French Public Health Agency, Saint-Maurice, France; 3Department of Biostatistics and Bioinformatics, Hospices Civils de Lyon, Lyon, France; 4UMR 5558, Biometry and Evolutionary Biology Laboratory, Biostatistics Health Group, CNRS, University Lyon 1, Lyon, France; 5National Institute of Health and Medical Research U1086 ANTICIPE, Caen, France; 6Calvados Digestive Cancer Registry, Centre Hospitalier Universitaire, Caen, France; 7Prevention Division, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan; 8Manche General Cancer Registry, Centre Hospitalier Public du Cotentin, Cherbourg-en-Cotentin, France; 9Calvados General Cancer Registry, Centre François Baclesse, Caen, France Background: Describing the relationship between socioeconomic inequalities and cancer survival is important but methodologically challenging. We propose guidelines for addressing these challenges and illustrate their implementation on French population-based data. Methods: We analyzed 17 cancers. Socioeconomic deprivation was measured by an ecological measure, the European Deprivation Index (EDI). The Excess Mortality Hazard (EMH), ie, the mortality hazard among cancer patients after accounting for other causes of death, was modeled using a flexible parametric model, allowing for nonlinear and/or time-dependent association between the EDI and the EMH. The model included a cluster-specific random effect to deal with the hierarchical structure of the data. Results: We reported the conventional age-standardized net survival (ASNS) and described the changes of the EMH over the time since diagnosis at different levels of deprivation. We illustrated nonlinear and/or time-dependent associations between the EDI and the EMH by plotting the excess hazard ratio according to EDI values at different times after diagnosis. The median excess hazard ratio quantified the general contextual effect. Lip–oral cavity–pharynx cancer in men showed the widest deprivation gap, with 5-year ASNS at 41% and 29% for deprivation quintiles 1 and 5, respectively, and we found a nonlinear association between the EDI and the EMH. The EDI accounted for a substantial part of the general contextual effect on the EMH. The association between the EDI and the EMH was time dependent in stomach and pancreas cancers in men and in cervix cancer. Conclusion: The methodological guidelines proved efficient in describing the way socioeconomic inequalities influence cancer survival. Their use would allow comparisons between different health care systems. Keywords: cancer net survival, socioeconomic inequalities, European Deprivation Index, excess mortality hazard, flexible parametric model

Published
2018
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75. Socioeconomic environment and disparities in cancer survival for 19 solid tumor sites: An analysis of the French Network of Cancer Registries (FRANCIM) data

Author

Tron, Laure, Belot, Aurélien, Fauvernier, Mathieu, Remontet, Laurent, Bossard, Nadine, Launay, Ludivine, Bryere, Josephine, Monnereau, Alain, Dejardin, Olivier, Launoy, Guy, Duchange, Nathalie, Unité de recherche interdisciplinaire pour la prévention et le traitement des cancers (ANTICIPE), Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-CHU Caen, Normandie Université (NU)-Tumorothèque de Caen Basse-Normandie (TCBN)-Tumorothèque de Caen Basse-Normandie (TCBN)-Centre Régional de Lutte contre le Cancer François Baclesse [Caen] (UNICANCER/CRLC), Normandie Université (NU)-UNICANCER-Tumorothèque de Caen Basse-Normandie (TCBN)-UNICANCER-Institut National de la Santé et de la Recherche Médicale (INSERM), London School of Hygiene and Tropical Medicine (LSHTM), Service de Biostatistiques [Lyon], Hospices Civils de Lyon (HCL), Laboratoire de Biométrie et Biologie Evolutive - UMR 5558 (LBBE), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS), Biostatistiques santé, Département biostatistiques et modélisation pour la santé et l'environnement [LBBE], Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS)-Laboratoire de Biométrie et Biologie Evolutive - UMR 5558 (LBBE), Bordeaux population health (BPH), Université de Bordeaux (UB)-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM), FRANCIM, Réseau des registres français du cancer, This work was supported by the ‘Institut de Recherche en Santé Publique’ (IReSP), the ‘Institut National Du Cancer’ (INCa) and the ‘Ligue Nationale Contre le Cancer’., and French Network of Cancer Registries (FRANCIM)

Subjects
social environment, [SDV.CAN] Life Sciences [q-bio]/Cancer, cancer registries, [SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologie, [SDV.CAN]Life Sciences [q-bio]/Cancer, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, France, cancer survival, deprivation
Abstract

International audience; Social inequalities are concerning along the cancer continuum. In France, social gradient in health is particularly marked but little is known about social gradient in cancer survival. We aimed to investigate the influence of socioeconomic environment on cancer survival, for all cancers reported in the French Network of Cancer Registries. We analyzed 189,657 solid tumors diagnosed between 2006 and 2009, recorded in 18 registries. The European Deprivation Index (EDI), an ecological index measuring relative poverty in small geographic areas, assessed social environment. The EDI was categorized into quintiles of the national distribution. One- and five-year age-standardized net survival (ASNS) were estimated for each solid tumor site and deprivation quintile, among men and among women. We found that 5-year ASNS was lower among patients living in the most deprived areas compared to those living in the least deprived ones for 14/16 cancers among men and 16/18 cancers among women. The extent of cancer survival disparities according to deprivation varied substantially across the cancer sites. The reduction in ASNS between the least and the most deprived quintile reached 34% for liver cancer among men and 59% for bile duct cancer among women. For pancreas, stomach and esophagus cancer (among men), and ovary and stomach cancer (among women), deprivation gaps were larger at 1-year than 5-year survival. In conclusion, survival was worse in the most deprived areas for almost all cancers. Our results from population-based cancer registries data highlight the need for implementing actions to reduce social inequalities in cancer survival in France.

Published
2018
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76. Digestive and genitourinary sequelae in rectal cancer survivors and their impact on health-related quality of life: Outcome of a high-resolution population-based study

Author

Eid, Yassine, primary, Bouvier, Véronique, additional, Menahem, Benjamin, additional, Thobie, Alexandre, additional, Dolet, Nathan, additional, Finochi, Morgane, additional, Renier, Marine, additional, Gardy, Joséphine, additional, Launoy, Guy, additional, Dejardin, Olivier, additional, Morello, Rémy, additional, Alves, Arnaud, additional, Abdelli, Amar, additional, Ahkong, Marie-Vincent, additional, Alkofer, Barbara, additional, Apoil, Bernard, additional, Paul Argouarch, Louis, additional, Armand, Philippe, additional, Arsène, Dominique, additional, Auvray, Sylvain, additional, Barthélémy, Richard, additional, Bazille, Céline, additional, Laure Bignon, Anne, additional, Bonnamy, Cécile, additional, Bouhier-Leporrier, Karine, additional, Borotto, Eric, additional, Brefort, Jean-Louis, additional, Chomontovski, Jaroslaw, additional, Cohen, Daniel, additional, Cojocaru, Michel, additional, Collet, Thierry, additional, Congard, Patrick, additional, Corbinais, Stéphane, additional, Couque, Marc, additional, Degoutte, Eric, additional, Desfachelles, Jean-Pierre, additional, Dupont, Benoit, additional, Elfadel, Samouh, additional, Galais, Marie-Pierre, additional, Genuist, Frédéric, additional, Girard, Nicolas, additional, Gloro, Romain, additional, Granveau, Antoine, additional, Guilloit, Jean-Marc, additional, Hervé, Sophie, additional, Hessissen, Mehdi, additional, Jacob, Jacques, additional, Kalinski, Eric, additional, Koutsomanis, Demetrios, additional, Lagriffoul, Laurent, additional, Lartigau, Christelle, additional, Lechevallier, Laurent, additional, Lebreton, Gil, additional, Lefebvre, Anne-Charlotte, additional, Lefrançois, Denis, additional, Lepoittevin, Claudine, additional, Leporrier, Julien, additional, Le Roux, Yannick, additional, L’Hirondel, André, additional, L’Hirondel, Christian, additional, Lion, Laurent, additional, Makki, Ammar, additional, Marchand, Patrice, additional, Marion, Yoann, additional, Mauger, Denis, additional, Mosquet, Laurent, additional, Mura, Denis No, additional, Ollivier, Jean Michel, additional, Parzy, Aurélie, additional, Polycarpe, Emmanuel, additional, Polycarpe, Florence, additional, Reijasse, Didier, additional, Renet, Catherine, additional, Rodriguez, Cyprien, additional, Saadi, Lakhdar, additional, Samama, Guy, additional, Saplacan, Mihaela, additional, Sleman, Farouk, additional, Siriser, Franck, additional, Soufron, Jacques, additional, Teste, Yves, additional, Tiengou, Laurent-Eric, additional, and Toudic, Jean-Pierre, additional

Published
2019
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78. Describing the association between socioeconomic inequalities and cancer survival: methodological guidelines and illustration with population-based data

Author

Belot,Aurélien, Remontet,Laurent, Rachet,Bernard, Dejardin,Olivier, Charvat,Hadrien, Bara,Simona, Guizard,Anne-Valérie, Roche,Laurent, Launoy,Guy, Bossard,Nadine, Belot,Aurélien, Remontet,Laurent, Rachet,Bernard, Dejardin,Olivier, Charvat,Hadrien, Bara,Simona, Guizard,Anne-Valérie, Roche,Laurent, Launoy,Guy, and Bossard,Nadine

Abstract

Aurélien Belot,1-3 Laurent Remontet,3,4 Bernard Rachet,1 Olivier Dejardin,5,6 Hadrien Charvat,7 Simona Bara,8 Anne-Valérie Guizard,5,9 Laurent Roche,3,4 Guy Launoy,5,6 Nadine Bossard3,4 1Cancer Survival Group, Department of Non-Communicable Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom; 2Non-Communicable Diseases and Trauma Direction, The French Public Health Agency, Saint-Maurice, France; 3Department of Biostatistics and Bioinformatics, Hospices Civils de Lyon, Lyon, France; 4UMR 5558, Biometry and Evolutionary Biology Laboratory, Biostatistics Health Group, CNRS, University Lyon 1, Lyon, France; 5National Institute of Health and Medical Research U1086 ANTICIPE, Caen, France; 6Calvados Digestive Cancer Registry, Centre Hospitalier Universitaire, Caen, France; 7Prevention Division, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan; 8Manche General Cancer Registry, Centre Hospitalier Public du Cotentin, Cherbourg-en-Cotentin, France; 9Calvados General Cancer Registry, Centre François Baclesse, Caen, France Background: Describing the relationship between socioeconomic inequalities and cancer survival is important but methodologically challenging. We propose guidelines for addressing these challenges and illustrate their implementation on French population-based data. Methods: We analyzed 17 cancers. Socioeconomic deprivation was measured by an ecological measure, the European Deprivation Index (EDI). The Excess Mortality Hazard (EMH), ie, the mortality hazard among cancer patients after accounting for other causes of death, was modeled using a flexible parametric model, allowing for nonlinear and/or time-dependent association between the EDI and the EMH. The model included a cluster-specific random effect to deal with the hierarchical structure of the data. Results: We reported the conventional age-standardized net surviv

Published
2018

79. Is self-care dialysis associated with social deprivation in a universal health care system? A cohort study with data from the Renal Epidemiology and Information Network Registry.

Author

Beaumier, Mathilde, Béchade, Clémence, Dejardin, Olivier, Lassalle, Mathilde, Vigneau, Cécile, Longlune, Nathalie, Launay, Ludivine, Couchoud, Cécile, Ficheux, Maxence, Lobbedez, Thierry, and Châtelet, Valérie

Subjects
MEDICAL care, INFORMATION networks, HOME hemodialysis, CHRONIC kidney failure, COHORT analysis, EPIDEMIOLOGY
Abstract

Background Socioeconomic status is associated with dialysis modality in developed countries. The main objective of this study was to investigate whether social deprivation, estimated by the European Deprivation Index (EDI), was associated with self-care dialysis in France. Methods The EDI was calculated for patients who started dialysis in 2017. The event of interest was self-care dialysis 3 months after dialysis initiation [self-care peritoneal dialysis (PD) or satellite haemodialysis (HD)]. A logistic model was used for the statistical analysis, and a counterfactual approach was used for the causal mediation analysis. Results Among the 9588 patients included, 2894 (30%) were in the most deprived quintile of the EDI. A total of 1402 patients were treated with self-care dialysis. In the multivariable analysis with the EDI in quintiles, there was no association between social deprivation and self-care dialysis. Compared with the other EDI quintiles, patients from Quintile 5 (most deprived quintile) were less likely to be on self-care dialysis (odds ratio 0.81, 95% confidence interval 0.71–0.93). Age, sex, emergency start, cardiovascular disease, chronic respiratory disease, cancer, severe disability, serum albumin and registration on the waiting list were associated with self-care dialysis. The EDI was not associated with self-care dialysis in either the HD or in the PD subgroups. Conclusions In France, social deprivation estimated by the EDI is associated with self-care dialysis in end-stage renal disease patients undergoing replacement therapy. [ABSTRACT FROM AUTHOR]

Published
2020
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83. Pancreatic cancer: Wait times from presentation to treatment and survival in a population-based study

Author

Jooste , Valérie, Dejardin , Olivier, Bouvier , Véronique, Arveux , Patrick, Maynadie , Marc, Launoy , Guy, Bouvier , Anne-Marie, Lipides - Nutrition - Cancer (U866) ( LNC ), Université de Bourgogne ( UB ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Ecole Nationale Supérieure de Biologie Appliquée à la Nutrition et à l'Alimentation de Dijon ( ENSBANA ), Registre Bourguignon des Cancers Digestifs, Université de Bourgogne ( UB ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Ecole Nationale Supérieure de Biologie Appliquée à la Nutrition et à l'Alimentation de Dijon ( ENSBANA ) -Université de Bourgogne ( UB ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Ecole Nationale Supérieure de Biologie Appliquée à la Nutrition et à l'Alimentation de Dijon ( ENSBANA ) -Centre Hospitalier Universitaire de Dijon - Hôpital François Mitterrand ( CHU Dijon ), Cancers et préventions, Université de Caen Normandie ( UNICAEN ), Normandie Université ( NU ) -Normandie Université ( NU ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ), CHU Caen, Centre Régional de Lutte contre le cancer - Centre Georges-François Leclerc ( CRLCC - CGFL ), Centre d'épidémiologie des populations ( CEP ), Université de Bourgogne ( UB ) -Centre Régional de Lutte contre le cancer - Centre Georges-François Leclerc ( CRLCC - CGFL ), Lipides - Nutrition - Cancer (U866) (LNC), Université de Bourgogne (UB)-Institut National de la Santé et de la Recherche Médicale (INSERM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Ecole Nationale Supérieure de Biologie Appliquée à la Nutrition et à l'Alimentation de Dijon (ENSBANA), Université de Bourgogne (UB)-Institut National de la Santé et de la Recherche Médicale (INSERM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Ecole Nationale Supérieure de Biologie Appliquée à la Nutrition et à l'Alimentation de Dijon (ENSBANA)-Université de Bourgogne (UB)-Institut National de la Santé et de la Recherche Médicale (INSERM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Ecole Nationale Supérieure de Biologie Appliquée à la Nutrition et à l'Alimentation de Dijon (ENSBANA)-Centre Hospitalier Universitaire de Dijon - Hôpital François Mitterrand (CHU Dijon), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU), Normandie Université (NU)-Tumorothèque de Caen Basse-Normandie (TCBN), Centre Régional de Lutte contre le cancer Georges-François Leclerc [Dijon] (UNICANCER/CRLCC-CGFL), UNICANCER, Centre d'épidémiologie des populations (CEP), Université de Bourgogne (UB)-Centre Régional de Lutte contre le cancer Georges-François Leclerc [Dijon] (UNICANCER/CRLCC-CGFL), UNICANCER-UNICANCER, Université de Caen Normandie (UNICAEN), and Normandie Université (NU)-Normandie Université (NU)-Institut National de la Santé et de la Recherche Médicale (INSERM)

Subjects
Stage, Patient, Patient Delay, Survival, Epidemiology, Treatment Delay, Date, [SDV.CAN]Life Sciences [q-bio]/Cancer, Relative Survival, Colorectal-Cancer, Cancer Registry, [ SDV.CAN ] Life Sciences [q-bio]/Cancer, Pancreatic Cancer, Therapeutic Delay, Diagnosis
Abstract

IF 5.531; International audience; Pancreatic survival is one of the worst in oncology. To what extent wait times affect outcomes in unknown No population-based study has previously explored patient and treatment delays among individuals with pancreatic cancer. The aim of this study was to estimate patient and treatment delays in patients with pancreatic cancer and to measure their association with survival in a nonselected population. All patients diagnosed with pancreatic cancer for the first time between 2009 and 2011 and registered in two French digestive cancer registries were included. Patient delay (time from onset of symptoms until the first consultation categorized into = 1 month), and treatment delay (time between the first consultation and treatment categorized into less or more than 29 days, the median time) were collected. Overall delay was used to test associations between survival and the timeliness of care by combining patient delay and treatment delay. Patient delay was longer than 1 month in 46% of patients. A patient delay longer than one month was associated with the absence of jaundice (p < 0.001) and the presence of metastasis (p=0.003). After adjusting for other covariates, such as symptoms and treatment, the presence of metastasis was negatively associated with treatment delay longer than 29 days (p=0.025). After adjustment for other covariates, especially metastatic dissemination and the result of the resection, overall delay was not significantly associated with prognosis. We found little evidence to suggest that timely care was associated with the survival of patients.

Published
2016
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84. Factors related to non-Hodgkin's lymphoma long-time to treatment initiation and impact on survival in a population based study in France: is there a role of socioeconomic status?

Author

Le Guyader-Peyrou , Sandra, Ozario , Sébastien, Dejardin , Olivier, Maynadié , Marc, Troussard , Xavier, Monnereau , Alain, Bordeaux population health ( BPH ), Université de Bordeaux ( UB ) -Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale ( INSERM ), Registre des hémopathies malignes de la Gironde, Institut Bergonié - CRLCC Bordeaux, Cancers et préventions, Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Université de Caen Normandie ( UNICAEN ), Normandie Université ( NU ) -Normandie Université ( NU ), Centre d'épidémiologie des populations ( CEP ), Université de Bourgogne ( UB ) -Centre Régional de Lutte contre le cancer - Centre Georges-François Leclerc ( CRLCC - CGFL ), Registre des hémopathies malignes de Côte d'Or, Registre des hémopathies malignes de Basse-Normandie, CHU Caen, Bordeaux population health (BPH), Université de Bordeaux (UB)-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU), Centre d'épidémiologie des populations (CEP), Université de Bourgogne (UB)-Centre Régional de Lutte contre le cancer Georges-François Leclerc [Dijon] (UNICANCER/CRLCC-CGFL), UNICANCER-UNICANCER, Registre des hémopathies malignes de Basse-Normandie [CHU Caen], Normandie Université (NU)-Tumorothèque de Caen Basse-Normandie (TCBN)-Normandie Université (NU)-Tumorothèque de Caen Basse-Normandie (TCBN), and université de Bourgogne, CEP

Subjects
[SDV.MHEP.HEM] Life Sciences [q-bio]/Human health and pathology/Hematology, [ SDV.MHEP.HEM ] Life Sciences [q-bio]/Human health and pathology/Hematology, [SDV.MHEP.HEM]Life Sciences [q-bio]/Human health and pathology/Hematology, Non-Hodgkin's lymphoma, Hematology, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2016

85. A multilevel excess hazard model to estimate net survival on hierarchical data allowing for non-linear and non-proportional effects of covariates

Author

Charvat, Hadrien, Remontet, Laurent, Bossard, Nadine, Roche, Laurent, Dejardin, Olivier, Rachet, Bernard, Launoy, Guy, Belot, Aurélien, and CENSUR Working Survival Group

Abstract

The excess hazard regression model is an approach developed for the analysis of cancer registry data to estimate net survival, that is, the survival of cancer patients that would be observed if cancer was the only cause of death. Cancer registry data typically possess a hierarchical structure: individuals from the same geographical unit share common characteristics such as proximity to a large hospital that may influence access to and quality of health care, so that their survival times might be correlated. As a consequence, correct statistical inference regarding the estimation of net survival and the effect of covariates should take this hierarchical structure into account. It becomes particularly important as many studies in cancer epidemiology aim at studying the effect on the excess mortality hazard of variables, such as deprivation indexes, often available only at the ecological level rather than at the individual level. We developed here an approach to fit a flexible excess hazard model including a random effect to describe the unobserved heterogeneity existing between different clusters of individuals, and with the possibility to estimate non-linear and time-dependent effects of covariates. We demonstrated the overall good performance of the proposed approach in a simulation study that assessed the impact on parameter estimates of the number of clusters, their size and their level of unbalance. We then used this multilevel model to describe the effect of a deprivation index defined at the geographical level on the excess mortality hazard of patients diagnosed with cancer of the oral cavity. Copyright © 2016 John Wiley & Sons, Ltd.

Published
2016

86. Apport des profils de croyances en santé sur le dépistage du cancer colorectal

Author

Vallet, Fanny, Guillaume, Elodie, Dejardin, Olivier, Guittet, Lydia, Berchi, Célia, Launoy, Guy, Christophe, Veronique, Sciences Cognitives et Sciences Affectives (SCALab) - UMR 9193 (SCALab), Université de Lille-Centre National de la Recherche Scientifique (CNRS), and Laboratoire Sciences Cognitives et Sciences Affectives - UMR 9193 (SCALab)

Subjects
[SCCO]Cognitive science
Published
2016

87. Assessment of the ecological bias of seven aggregate social deprivation indices

Author

Bryere, Josephine, Pornet, Carole, Copin, Nane, Launay, Ludivine, Gusto, Gaëlle, Grosclaude, Pascale, Delpierre, Cyrille, Lang, Thierry, Lantieri, Olivier, Dejardin, Olivier, Launoy, Guy, BMC, BMC, Cancers et préventions, Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-Institut National de la Santé et de la Recherche Médicale (INSERM), CHU Caen, Normandie Université (NU)-Tumorothèque de Caen Basse-Normandie (TCBN), Institut inter-Régional pour la SAnté (IRSA), Centre Régional de Lutte contre le Cancer François Baclesse [Caen] (UNICANCER/CRLC), Normandie Université (NU)-UNICANCER-Tumorothèque de Caen Basse-Normandie (TCBN), Epidémiologie et analyses en santé publique : risques, maladies chroniques et handicaps (LEASP), Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM), This work was funded by the University of Caen Basse-Normandie and the Hospital of Caen., Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU), UNICANCER-Tumorothèque de Caen Basse-Normandie (TCBN)-Normandie Université (NU), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Toulouse III - Paul Sabatier (UT3), and Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées

Subjects
Adult, Male, Individual-level, lcsh:Public aspects of medicine, [SDV]Life Sciences [q-bio], Public Health, Environmental and Occupational Health, Ecological social deprivation indices, lcsh:RA1-1270, Censuses, Health Status Disparities, Social inequalities in health, [SDV] Life Sciences [q-bio], Bias, Social Class, Socioeconomic Factors, Outcome Assessment, Health Care, Health Status Indicators, Humans, Female, Aggregate-level, France, Poverty, Research Article
Abstract

International audience; AbstractBackgroundIn aggregate studies, ecological indices are used to study the influence of socioeconomic status on health. Their main limitation is ecological bias. This study assesses the misclassification of individual socioeconomic status in seven ecological indices.MethodsIndividual socioeconomic data for a random sample of 10,000 persons came from periodic health examinations conducted in 2006 in 11 French departments. Geographical data came from the 2007 census at the lowest geographical level available in France. The Receiver Operating Characteristics (ROC) curves, the areas under the curves (AUC) for each individual variable, and the distribution of deprived and non-deprived persons in quintiles of each aggregate score were analyzed.ResultsThe aggregate indices studied are quite good “proxies” for individual deprivation (AUC close to 0.7), and they have similar performance. The indices are more efficient at measuring individual income than education or occupational category and are suitable for measuring of deprivation but not affluence.ConclusionsThe study inventoried the aggregate indices available in France and evaluated their assessment of individual SES.

Published
2016
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92. Socioeconomic environment and disparities in cancer survival for 19 solid tumor sites: An analysis of the French Network of Cancer Registries (FRANCIM) data.

Author

Tron, Laure, Belot, Aurélien, Fauvernier, Mathieu, Remontet, Laurent, Bossard, Nadine, Launay, Ludivine, Bryere, Joséphine, Monnereau, Alain, Dejardin, Olivier, and Launoy, Guy

Abstract

Social inequalities are concerning along the cancer continuum. In France, social gradient in health is particularly marked but little is known about social gradient in cancer survival. We aimed to investigate the influence of socioeconomic environment on cancer survival, for all cancers reported in the French Network of Cancer Registries. We analyzed 189,657 solid tumors diagnosed between 2006 and 2009, recorded in 18 registries. The European Deprivation Index (EDI), an ecological index measuring relative poverty in small geographic areas, assessed social environment. The EDI was categorized into quintiles of the national distribution. One‐ and five‐year age‐standardized net survival (ASNS) were estimated for each solid tumor site and deprivation quintile, among men and among women. We found that 5‐year ASNS was lower among patients living in the most deprived areas compared to those living in the least deprived ones for 14/16 cancers among men and 16/18 cancers among women. The extent of cancer survival disparities according to deprivation varied substantially across the cancer sites. The reduction in ASNS between the least and the most deprived quintile reached 34% for liver cancer among men and 59% for bile duct cancer among women. For pancreas, stomach and esophagus cancer (among men), and ovary and stomach cancer (among women), deprivation gaps were larger at 1‐year than 5‐year survival. In conclusion, survival was worse in the most deprived areas for almost all cancers. Our results from population‐based cancer registries data highlight the need for implementing actions to reduce social inequalities in cancer survival in France. What's new? Individual socioeconomic characteristics are known to be strong predictors of cancer survival worldwide. However, not only individual but also contextual and environmental factors might contribute to social inequalities in cancer survival. Using the French Network of Cancer Registries, here the authors show, for the first time in France, that cancer survival is lower for patients living in the most deprived areas compared to those living in the least deprived ones, for almost all solid tumors, with variable magnitudes across the cancer sites. The findings highlight the need for public health policies to reduce social inequalities in cancer survival in France. [ABSTRACT FROM AUTHOR]

Published
2019
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95. Development of a cross-cultural deprivation index in five European countries

Author

Guillaume, Elodie, primary, Pornet, Carole, additional, Dejardin, Olivier, additional, Launay, Ludivine, additional, Lillini, Roberto, additional, Vercelli, Marina, additional, Marí-Dell'Olmo, Marc, additional, Fernández Fontelo, Amanda, additional, Borrell, Carme, additional, Ribeiro, Ana Isabel, additional, Pina, Maria Fatima de, additional, Mayer, Alexandra, additional, Delpierre, Cyrille, additional, Rachet, Bernard, additional, and Launoy, Guy, additional

Published
2015
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97. Social inequalities in health from observational studies to intervention: can the patient navigator reduce social inequalities in cancer patients?

Author

Dejardin, Olivier, Berchi, Célia, Mignon, Astrid, Pornet, Carole, Guillaume, Elodie, Guittet, Lydia, Bouvier, Véronique, Sailly, M., SALINAS, Agnès, Christophe, Véronique, Launoy, Guy, Cancers et Populations : Facteurs de Risque, Depistage, Pratiques Diagnostiques et Therapeutiques, Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-Institut National de la Santé et de la Recherche Médicale (INSERM), Unité de Recherche en Sciences Cognitives et Affectives (URECA), Université de Lille, Sciences Humaines et Sociales-PRES Université Lille Nord de France, Centre d'étude et de recherche sur les risques et les vulnérabilités (CERREV), Normandie Université (NU)-Normandie Université (NU), Maison européenne des sciences de l’homme et de la société - UAR 3185 (MESHS), Université d'Artois (UA)-Université de Picardie Jules Verne (UPJV)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Fédération Universitaire et Polytechnique de Lille-Université du Littoral Côte d'Opale (ULCO)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF), Cancéropôle nord-ouest, PRES Université Lille Nord de France-Université de Lille, Sciences Humaines et Sociales, and Maison européenne des sciences de l’homme et de la société - USR 3185 (MESHS)

Subjects
Health Services Needs and Demand, Intervention, [SDV.CAN]Life Sciences [q-bio]/Cancer, Colorectal cancer, Cancer colorectal, Patient navigator, Socioeconomic Factors, Dépistage, Neoplasms, Patient-Centered Care, [SCCO.PSYC]Cognitive science/Psychology, Accompagnateur, Humans, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, [SHS.LANGUE]Humanities and Social Sciences/Linguistics, Inégalités sociales, Social inequalities, Cancer
Abstract

International audience; The impact of social factors on healthcare inequality is well-recognized in many industrialized countries and involves a wide range of pathological conditions (cardiovascular disease, cancer, etc.). In general, the poorest indicators of health are observed in socially disadvantaged populations. Beyond this observation is the question of actions taken to prevent the formation ofsocial inequality in healthcare. The purpose of this work was to evaluate the potential contribution of an intervention tool called the ‘‘patient navigator’’, used in English-speaking countries and to determine its feasibility in France; Des inégalités sociales de santé ont été rapportées dans l’ensemble des pays industrialisés et pour un très grand nombre de pathologies (maladies cardiovasculaires, cancers, etc...). Les patients issus des milieux les plus défavorisés présentent généralement les plus mauvais indicateurs de santé. Au-delà du constat se pose dès lors la question des moyens d’action permettant de lutter efficacement contre la formation des inégalités sociales de santé. L’objectif de cet article est d’étudier l’intérêt potentiel d’une méthode de lutte contre les inégalités sociales en cancérologie, couramment dénommée « patient navigator » dans les pays anglosaxons (accompagnateur d’un patient en français) et d’évaluer la faisabilité de sa mise en place en France.

Published
2011
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98. Inégalités sociales, de santé du constat à l’action – Intérêt de la mise en place d’un accompagnement personnalisé pour la réduction des inégalités sociales en cancérologie

Author

Dejardin, Olivier, Berchi, Célia, Mignon, Astrid, Pornet, Carole, Guillaume, Elodie, Guittet, Lydia, Bouvier, Véronique, Sailly, M., SALINAS, Agnès, Christophe, Véronique, Launoy, Guy, Cancers et Populations : Facteurs de Risque, Depistage, Pratiques Diagnostiques et Therapeutiques, Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-Institut National de la Santé et de la Recherche Médicale (INSERM), Unité de Recherche en Sciences Cognitives et Affectives (URECA), Université de Lille, Sciences Humaines et Sociales-PRES Université Lille Nord de France, Centre d'étude et de recherche sur les risques et les vulnérabilités (CERREV), Normandie Université (NU)-Normandie Université (NU), Maison européenne des sciences de l’homme et de la société - USR 3185 (MESHS), Université d'Artois (UA)-Université de Picardie Jules Verne (UPJV)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Fédération Universitaire et Polytechnique de Lille-Université du Littoral Côte d'Opale (ULCO)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF), and Cancéropôle nord-ouest

Subjects
Cancer colorectal, Patient navigator, Dépistage, Accompagnateur, Intervention, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, [SDV.CAN]Life Sciences [q-bio]/Cancer, Inégalités sociales, Colorectal cancer, Cancer, Social inequalities
Abstract

International audience; The impact of social factors on healthcare inequality is well-recognized in many industrialized countries and involves a wide range of pathological conditions (cardiovascular disease, cancer, etc.). In general, the poorest indicators of health are observed in socially disadvantaged populations. Beyond this observation is the question of actions taken to prevent the formation of social inequality in healthcare. The purpose of this work was to evaluate the potential contribution of an intervention tool called the “patient navigator”, used in English-speaking countries and to determine its feasibility in France.; Des inégalités sociales de santé ont été rapportées dans l’ensemble des pays industrialisés et pour un très grand nombre de pathologies (maladies cardiovasculaires, cancers, etc…). Les patients issus des milieux les plus défavorisés présentent généralement les plus mauvais indicateurs de santé. Au-delà du constat se pose dès lors la question des moyens d’action permettant de lutter efficacement contre la formation des inégalités sociales de santé. L’objectif de cet article est d’étudier l’intérêt potentiel d’une méthode de lutte contre les inégalités sociales en cancérologie, couramment dénommée « patient navigator » dans les pays anglosaxons (accompagnateur d’un patient en français) et d’évaluer la faisabilité de sa mise en place en France.

Published
2011
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99. Socioeconomic environment and cancer incidence: a French population-based study in Normandy

Author

Bryere, Josephine, primary, Dejardin, Olivier, additional, Bouvier, Veronique, additional, Colonna, Marc, additional, Guizard, Anne-Valérie, additional, Troussard, Xavier, additional, Pornet, Carole, additional, Galateau-Salle, Françoise, additional, Bara, Simona, additional, Launay, Ludivine, additional, Guittet, Lydia, additional, and Launoy, Guy, additional

Published
2014
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