Silvia Rossi1, Paolo Baili2, Riccardo Capocaccia3, Massimiliano Caldora4, Eugenio Carrani5, Pamela Minicozzi2, Daniela Pierannunzio4, Mariano Santaquilani5, Annalisa Trama6, Claudia Allemani7, Aurelien Belot8, Carlotta Buzzoni9, Matthias Lorez10, Roberta De Angelis4. 1. Centro Nazionale di Epidemiologia, Sorveglianza e Promozione della Salute, Istituto Superiore di Sanità, viale Regina Elena 299, 00161 Rome, Italy. Electronic address: silvia.rossi@iss.it. 2. Department of Preventive and Predictive Medicine, Analytical Epidemiology and Health Impact Unit, Fondazione IRCCS, Istituto Nazionale dei Tumori, via Venezian 1, 20133 Milan, Italy. 3. Centro Nazionale di Epidemiologia, Sorveglianza e Promozione della Salute, Istituto Superiore di Sanità, viale Regina Elena 299, 00161 Rome, Italy; Department of Preventive and Predictive Medicine, Evaluative epidemiology Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, via Venezian 1, 20133 Milan, Italy. 4. Centro Nazionale di Epidemiologia, Sorveglianza e Promozione della Salute, Istituto Superiore di Sanità, viale Regina Elena 299, 00161 Rome, Italy. 5. Servizio informatico, documentazione, biblioteca ed attività editoriali, Settore I - Informatica Istituto Superiore di Sanità, viale Regina Elena 299, 00161 Rome, Italy. 6. Department of Preventive and Predictive Medicine, Evaluative epidemiology Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, via Venezian 1, 20133 Milan, Italy. 7. Cancer Research UK Cancer Survival Group, Department of Non-Communicable Disease Epidemiology, London School of Hygiene & Tropical Medicine, Keppel St., London WC1E 7HT, UK. 8. Cancer Research UK Cancer Survival Group, Department of Non-Communicable Disease Epidemiology, London School of Hygiene & Tropical Medicine, Keppel St., London WC1E 7HT, UK; Service de Biostatistique, Hospices Civils de Lyon, F-69003 Lyon, France; Université de Lyon, F-69000 Lyon, France; Université de Lyon 1, F-69100 Villeurbanne, France; CNRS, UMR5558, Laboratoire de Biométrie et Biologie Evolutive, Equipe Biostatistique-Santé, F-69100 Villeurbanne, France. 9. Registro Tumori Toscano, Istituto per lo studio e la prevenzione oncologica, Via Cosimo il Vecchio 2, 50141 Florence, Italy. 10. Foundation National Institute for Cancer Epidemiology and Registration (NICER) c/o University of Zürich, Seilergraben 49, CH-8001 Zürich, Switzerland.
Abstract
BACKGROUND: Since 25years the EUROCARE study monitors the survival of cancer patients in Europe through centralised collection, quality check and statistical analysis of population-based cancer registries (CRs) data. The European population covered by the study increased remarkably in the latest round. The study design and statistical methods were also changed to improve timeliness and comparability of survival estimates. To interpret the EUROCARE-5 results on adult cancer patients better here we assess the impact of these changes on data quality and on survival comparisons. METHODS: In EUROCARE-5 the survival differences by area were studied applying the complete cohort approach to data on nearly nine million cancer patients diagnosed in 2000-2007 and followed up to 2008. Survival time trends were analysed applying the period approach to data on about 10 million cancer cases diagnosed from 1995 to 2007 and followed up to 2008. Differently from EUROCARE-4, multiple primary cancers were included and relative survival was estimated with the Ederer II method. RESULTS: EUROCARE-5 covered a population of 232 million resident persons, corresponding to 50% of the 29 participating countries. The population coverage increased particularly in Eastern Europe. Cases identified from death certificate only (DCO) were on average 2.9%, range 0-12%. Microscopically confirmed cases amounted to over 85% in most CRs. Compared to previous methods, including multiple cancers and using the Ederer II estimator reduced survival estimates by 0.4 and 0.3 absolute percentage points, on average. CONCLUSIONS: The increased population size and registration coverage of the EUROCARE-5 study ensures more robust and comparable estimates across European countries. This enlargement did not impact on data quality, which was generally satisfactory. Estimates may be slightly inflated in countries with high or null DCO proportions, especially for poor prognosis cancers. The updated methods improved the comparability of survival estimates between recently and long-term established registries and reduced biases due to informative censoring.
BACKGROUND: Since 25years the EUROCARE study monitors the survival of cancerpatients in Europe through centralised collection, quality check and statistical analysis of population-based cancer registries (CRs) data. The European population covered by the study increased remarkably in the latest round. The study design and statistical methods were also changed to improve timeliness and comparability of survival estimates. To interpret the EUROCARE-5 results on adult cancerpatients better here we assess the impact of these changes on data quality and on survival comparisons. METHODS: In EUROCARE-5 the survival differences by area were studied applying the complete cohort approach to data on nearly nine million cancerpatients diagnosed in 2000-2007 and followed up to 2008. Survival time trends were analysed applying the period approach to data on about 10 million cancer cases diagnosed from 1995 to 2007 and followed up to 2008. Differently from EUROCARE-4, multiple primary cancers were included and relative survival was estimated with the Ederer II method. RESULTS: EUROCARE-5 covered a population of 232 million resident persons, corresponding to 50% of the 29 participating countries. The population coverage increased particularly in Eastern Europe. Cases identified from death certificate only (DCO) were on average 2.9%, range 0-12%. Microscopically confirmed cases amounted to over 85% in most CRs. Compared to previous methods, including multiple cancers and using the Ederer II estimator reduced survival estimates by 0.4 and 0.3 absolute percentage points, on average. CONCLUSIONS: The increased population size and registration coverage of the EUROCARE-5 study ensures more robust and comparable estimates across European countries. This enlargement did not impact on data quality, which was generally satisfactory. Estimates may be slightly inflated in countries with high or null DCO proportions, especially for poor prognosis cancers. The updated methods improved the comparability of survival estimates between recently and long-term established registries and reduced biases due to informative censoring.
Authors: M D Chirlaque; D Salmerón; J Galceran; A Ameijide; A Mateos; A Torrella; R Jiménez; N Larrañaga; R Marcos-Gragera; E Ardanaz; M Sant; P Minicozzi; C Navarro; M J Sánchez Journal: Clin Transl Oncol Date: 2017-07-17 Impact factor: 3.405
Authors: Maria Michela Gianino; Jacopo Lenzi; Aida Muça; Maria Pia Fantini; Roberta Siliquini; Walter Ricciardi; Gianfranco Damiani Journal: Health Serv Res Date: 2016-10-05 Impact factor: 3.402
Authors: L A Anderson; A Tavilla; H Brenner; S Luttmann; C Navarro; A T Gavin; B Holleczek; B T Johnston; M B Cook; F Bannon; M Sant Journal: Eur J Cancer Date: 2015-09-26 Impact factor: 9.162
Authors: S H Bakker; W C H Jacobs; W Pondaag; H Gelderblom; R A Nout; P D S Dijkstra; W C Peul; C L A Vleggeert-Lankamp Journal: Eur Spine J Date: 2018-09-15 Impact factor: 3.134
Authors: Sarah L Coleridge; Andrew Bryant; Thomas J Lyons; Richard J Goodall; Sean Kehoe; Jo Morrison Journal: Cochrane Database Syst Rev Date: 2019-10-31