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  1. Article

    Open Access

    Inequalities in treatment among patients with colon and rectal cancer: a multistate survival model using data from England national cancer registry 2012–2016

    Individual and tumour factors only explain part of observed inequalities in colorectal cancer survival in England. This study aims to investigate inequalities in treatment in patients with colorectal cancer.

    Su** Ling, Miguel-Angel Luque Fernandez, Manuela Quaresma in British Journal of Cancer (2024)

  2. Article

    Open Access

    Correction: Inequalities in treatment among patients with colon and rectal cancer: a multistate survival model using data from England National Cancer Registry 2012–2016

    Su** Ling, Miguel-Angel Luque Fernandez, Manuela Quaresma in British Journal of Cancer (2023)

  3. Article

    Open Access

    Socio-economic inequalities in cancer survival: how do they translate into Number of Life-Years Lost?

    We aimed to investigate the impact of socio-economic inequalities in cancer survival in England on the Number of Life-Years Lost (NLYL) due to cancer.

    Aimilia Exarchakou, Dimitra-Kleio Kipourou, Aurélien Belot in British Journal of Cancer (2022)

  4. Article

    Open Access

    An investigation of cancer survival inequalities associated with individual-level socio-economic status, area-level deprivation, and contextual effects, in a cancer patient cohort in England and Wales

    People living in more deprived areas of high-income countries have lower cancer survival than those in less deprived areas. However, associations between individual-level socio-economic circumstances and cance...

    Fiona C. Ingleby, Laura M. Woods, Iain M. Atherton, Matthew Baker in BMC Public Health (2022)

  5. Article

    Open Access

    Investigating the inequalities in route to diagnosis amongst patients with diffuse large B-cell or follicular lymphoma in England

    Diagnostic delay is associated with lower chances of cancer survival. Underlying comorbidities are known to affect the timely diagnosis of cancer. Diffuse large B-cell (DLBCL) and follicular lymphomas (FL) are...

    Matthew J. Smith, Miguel Angel Luque Fernandez, Aurélien Belot in British Journal of Cancer (2021)

  6. Article

    Open Access

    Correction to: Probabilities of ICU admission and hospital discharge according to patient characteristics in the designated COVID-19 hospital of Kuwait

    Dimitra-Kleio Kipourou, Clémence Leyrat, Nourah Alsheridah in BMC Public Health (2021)

  7. Article

    Open Access

    Probabilities of ICU admission and hospital discharge according to patient characteristics in the designated COVID-19 hospital of Kuwait

    Subsequent epidemic waves have already emerged in many countries and in the absence of highly effective preventive and curative options, the role of patient characteristics on the development of outcomes needs...

    Dimitra-Kleio Kipourou, Clémence Leyrat, Nourah Alsheridah in BMC Public Health (2021)

  8. Article

    Open Access

    A French multicentric prospective prognostic cohort with epidemiological, clinical, biological and treatment information to improve knowledge on lymphoma patients: study protocol of the “REal world dAta in LYmphoma and survival in adults” (REALYSA) cohort

    Age-adjusted lymphoma incidence rates continue to rise in France since the early 80’s, although rates have slowed since 2010 and vary across subtypes. Recent improvements in patient survival in major lymphoma ...

    Hervé Ghesquières, Cédric Rossi, Fanny Cherblanc in BMC Public Health (2021)

  9. No Access

    Chapter

    Social Disparities in Cancer Survival: Methodological Considerations

    Population-based cancer registry data are invaluable tools for cancer epidemiology. However, they present some challenges for the statistical analysis to derive cancer-specific quantities useful for patients, ...

    Aurélien Belot, Maja Pohar-Perme in Social Environment and Cancer in Europe (2021)

  10. Article

    Open Access

    Comorbidity prevalence among cancer patients: a population-based cohort study of four cancers

    The presence of comorbidity affects the care of cancer patients, many of whom are living with multiple comorbidities. The prevalence of cancer comorbidity, beyond summary metrics, is not well known. This study...

    Helen Fowler, Aurelien Belot, Libby Ellis, Camille Maringe in BMC Cancer (2020)

  11. Article

    Open Access

    Comparison of model-building strategies for excess hazard regression models in the context of cancer epidemiology

    Large and complex population-based cancer data are becoming broadly available, thanks to purposeful linkage between cancer registry data and health electronic records. Aiming at understanding the explanatory p...

    Camille Maringe, Aurélien Belot, Francisco Javier Rubio in BMC Medical Research Methodology (2019)

  12. Article

    Open Access

    Adjusting for overdispersion in piecewise exponential regression models to estimate excess mortality rate in population-based research

    In population-based cancer research, piecewise exponential regression models are used to derive adjusted estimates of excess mortality due to cancer using the Poisson generalized linear modelling framework. Ho...

    Miguel Angel Luque-Fernandez, Aurélien Belot in BMC Medical Research Methodology (2016)

  13. Article

    Open Access

    Total and partial cancer prevalence in the adult French population in 2008

    To provide estimations of partial and total prevalence of 24 cancer sites in France in 2008. The estimations of partial prevalence were compared with the previous estimations for 2002.

    Marc Colonna, Nicolas Mitton, Nadine Bossard, Aurelien Belot in BMC Cancer (2015)

  14. Article

    Open Access

    Competing risk models to estimate the excess mortality and the first recurrent-event hazards

    In medical research, one common competing risks situation is the study of different types of events, such as disease recurrence and death. We focused on that situation but considered death under two aspects: "...

    Aurélien Belot, Laurent Remontet, Guy Launoy in BMC Medical Research Methodology (2011)

  15. No Access

    Article

    Hazard regression model and cure rate model in colon cancer relative survival trends: are they telling the same story?

    Hazard regression models and cure rate models can be advantageously used in cancer relative survival analysis. We explored the advantages and limits of these two models in colon cancer and focused on the progn...

    Theodora Bejan-Angoulvant, Anne-Marie Bouvier in European Journal of Epidemiology (2008)

  16. No Access

    Book

  17. No Access

    Chapter

    Matériel

    Les registres du réseau FRANCIM ayant participé à notre étude couvrent 14 départements français. L’étude a porté sur tous les cas enregistrés entre 1989 et 1997 dans ces registres. Le tableau 1 fournit le type...

    Pascale Grosclaude, Jacques Estève in Survie des patients atteints de cancer en … (2007)

  18. No Access

    Chapter

    Présentation des résultats et guide de lecture

    Une description de la base de données est présentée dans le chapitre suivant. Elle comprend notamment les éléments concernant les effectifs analysés et l’état de la base touchant la connaissance du statut vita...

    Pascale Grosclaude, Jacques Estève in Survie des patients atteints de cancer en … (2007)

  19. No Access

    Chapter

    Introduction

    Le réseau FRANCIM a mis en œuvre un projet d’observatoire des principales pathologies cancéreuses en France, de façon à fournir aux autorités sanitaires les éléments nécessaires à une politique efficace de pri...

    Pascale Grosclaude, Jacques Estève in Survie des patients atteints de cancer en … (2007)

  20. No Access

    Chapter

    Méthode d’estimation de la survie relative et modélisation de l’effet des facteurs pronostiques

    L’ensemble de la méthode est rapporté en détail dans l’article de Remontet et al (1). Nous en présentons ici les lignes principales.

    Pascale Grosclaude, Jacques Estève in Survie des patients atteints de cancer en … (2007)

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