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Abstract

Survival for breast cancer (BC) is lower in eastern than northern/central Europe, and in older than younger women. We analysed how comorbidities at diagnosis affected whether selected standard treatments (STs) were given, across Europe and over time, also assessing consequences for survival/relapse. We analysed 7581 stage I/IIA cases diagnosed in 9 European countries in 2009–2013, and 4 STs: surgery; breast-conserving surgery plus radiotherapy (BCS + RT); reconstruction after mastectomy; and prompt treatment (≤6 weeks after diagnosis). Covariate-adjusted models estimated odds of receiving STs and risks of death/relapse, according to comorbidities. Pearson's R assessed correlations between odds and risks. The z-test assessed the significance of time-trends. Most women received surgery: 72% BCS; 24% mastectomy. Mastectomied patients were older with more comorbidities than BCS patients (p <0.001). Women given breast reconstruction (25% of mastectomies) were younger with fewer comorbidities than those without reconstruction (p <0.001). Women treated promptly (45%) were younger than those treated later (p = 0.001), and more often without comorbidities (p <0.001). Receiving surgery/BCS + RT correlated strongly (R = −0.9), but prompt treatment weakly (R = −0.01/−0.02), with reduced death/relapse risks. The proportion receiving BCS + RT increased significantly (p <0.001) with time in most countries. This appears to be the first analysis of the influence of comorbidities on receiving STs, and of consequences for outcomes. Increase in BCS + RT with time is encouraging. Although women without comorbidities usually received STs, elderly patients often received non-standard less prompt treatments, irrespective of comorbidities, with increased risk of mortality/relapse. All women, particularly the elderly, should receive ST wherever possible to maximise the benefits of modern evidence-based treatments.
OriginalspracheEnglisch
ZeitschriftInternational Journal of Cancer
Jahrgang144
Ausgabenummer9
Seiten (von - bis)2118-2127
Seitenumfang10
ISSN0020-7136
DOIs
PublikationsstatusVeröffentlicht - 01.05.2019

Fördermittel

1Analytical Epidemiology and Health Impact Unit, Research Department, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan, Italy 2Research Department, Belgian Cancer Registry, Brussels, Belgium 3Loire-Atlantique/Vendée Cancer Registry, Nantes, France 4SIRIC-ILIAD, CHU Nantes, Nantes, France 5Department of Epidemiology and Biostatistics, National Institute for Health Development, Tallinn, Estonia 6Navarra Cancer Registry, Public Health Institute of Navarra, IDISNA, Pamplona, Spain 7Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain 8Epidemiology Unit and Girona Cancer Registry, Department of Health, Catalan Institute of Oncology (ICO), Girona, Spain 9Department of Epidemiology, Portuguese Oncology Institute of Porto (IPO Porto), Porto, Portugal 10EpiUnit, Institute of Public Health, University of Porto, Porto, Portugal 11Geneva Cancer Registry, Global Health Institute, University of Geneva, Geneva, Switzerland 12University of Lübeck, Institute for Social Medicine and Epidemiology, Lübeck, Germany 13Castellón Cancer Registry, Epidemiology Unit, Public Health Department, Castellón, Spain 14Epidemiology and Cancer Registry, Institute of Oncology Ljubljana, Ljubljana, Slovenia 15Department of Health Promotion and Prevention of Chronic Diseases, National Institute of Public Health (NIH), Warsaw, Poland 16Epidemiology Unit, Azienda Unità Sanitaria Locale – IRCCS di Reggio Emilia, Reggio Emilia, Italy 17Public Health Department of Gipuzkoa, Donostia, Spain 18Portuguese Institute of Oncology Francisco Gentil (IPO Coimbra), Coimbra, Portugal 19Andalusian School of Public Health, Granada Cancer Registry, Granada, Spain 20Biomedical Research Institute of Granada (ibs. Granada), Granada, Spain Key words: early breast cancer, comorbidities, standard treatment, outcomes, population study Abbreviations: BC: breast cancer; BCS + RT: breast-conserving surgery followed by radiotherapy; CCI: Charlson comorbidity index; CI: confidence interval; CR: cancer registry; ER: oestrogen receptor; OR: odds ratio; PgR: progesterone receptor Additional Supporting Information may be found in the online version of this article. †Supplementary material Conflict of interest: The authors have declared no conflicts of interest. Grant sponsor: Andalusian Department of Health; Grant number: PI-0152/2017; Grant sponsor: Spanish National Institute of Health, Carlos III; Grant number: AC14/00036; Grant sponsor: La Caixa Foundation; Grant sponsor: Instituto de Salud Carlos III, Spain; Grant sponsor: Ministry of Education, Science and Sport (MIZS), Slovenia; Grant sponsor: Naradowe Centrum Badań i Rozwoju, Poland; Grant sponsor: Federal Ministry of Education and Research (BMBF), Germany; Grant sponsor: Institut National du Cancer, France; Grant sponsor: Research Foundation Flanders (FWO), Belgium; Grant sponsor: Ministry of Health, Italy DOI: 10.1002/ijc.31974 History: Received 28 Jun 2018; Accepted 23 Oct 2018; Online 8 Nov 2018 Correspondence to: Pamela Minicozzi, PhD, Analytical Epidemiology and Health Impact Unit, Research Department, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Via Venezian 1, 20133 Milan, Italy, E-mail: [email protected]; Tel.: +39 02 23903520; Fax: +39 02 23903528 The authors thank Don Ward for help with the English, and the participating cancer registries for collecting and preparing the data as part of their essential role in cancer control. This work was carried out as part of HIGHCARE (High resolution project on prognosis and care of cancer patients); it was supported in part by ERA-NET within the framework of the call on “Translational research on tertiary prevention in cancer patients” (TRANSCAN) with funding from: Ministry of Health, Italy; Research Foundation Flanders (FWO), Belgium; Institut National du Cancer, France; Federal Ministry of Education and Research (BMBF), Germany; Naradowe Centrum Badań i Rozwoju, Poland; Ministry of Education, Science and Sport (MIZS), Slovenia; and Instituto de Salud Carlos III, Spain. La Caixa Foundation partially supported the Navarra CR for this study. The Spanish National Institute of Health, Carlos III [grant number AC14/00036], and the Andalusian Department of Health [grant number PI-0152/2017] partially supported the Granada CR for this study.

UN SDGs

Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung

  1. SDG 3 – Gesundheit und Wohlergehen
    SDG 3 – Gesundheit und Wohlergehen

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  • Profilbereich: Zentrum für Bevölkerungsmedizin und Versorgungsforschung (ZBV)

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