Characterisation of long-term cancer survivors and application of statistical cure models: a protocol for an observation
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Characterisation of long-term cancer survivors and application of statistical cure models: a protocol for an observational follow-up study in patients with colorectal cancer Sonia Pértega-Díaz1* , Vanesa Balboa-Barreiro1, Rocío Seijo-Bestilleiro1, Cristina González-Martín1, Remedios Pardeiro-Pértega2, Loreto Yáñez-González-Dopeso2, Teresa García-Rodríguez2 and Teresa Seoane-Pillado1
Abstract Background: Improved colorectal cancer (CRC) survival rates have been reported over the last years, with more than half of these patients surviving more than 5 years after the initial diagnosis. Better understanding these socalled long-term survivors could be very useful to further improve their prognosis as well as to detect other problems that may cause a significant deterioration in their health-related quality of life (HRQoL). Cure models provide novel statistical tools to better estimate the long-term survival rate for cancer and to identify characteristics that are differentially associated with a short or long-term prognosis. The aim of this study will be to investigate the long-term prognosis of CRC patients, characterise long-term CRC survivors and their HRQoL, and demonstrate the utility of statistical cure models to analyse survival and other associated factors in these patients. (Continued on next page)
* Correspondence: [email protected] 1 Research Support Unit, Nursing and Healthcare Research Group, Rheumatology and Health Research Group, Instituto de Investigación Biomédica de A Coruña (INIBIC), Complexo Hospitalario Universitario de A Coruña (CHUAC), Sergas, Universidade da Coruña (UDC), As Xubias, Hotel de Pacientes 7ª Planta, 15006 A Coruña, Spain Full list of author information is available at the end of the article © The Author(s). 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
Pértega-Díaz et al. BMC Public Health
(2020) 20:1738
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Methods: This is a single-centre, ambispective, observational follow-up study in a cohort of
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