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Renal cell carcinoma: the population, real world, and cost-of-illness

BACKGROUND: The RCC treatment landscape has evolved dramatically over the past decade. The purpose of this study is to present a real-world data estimation of RCC’s cost-of-illness for this tumour’s clinical pathway. METHODS: This investigation is a population-based cohort study using real-world dat...

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Autores principales: Buja, Alessandra, De Luca, Giuseppe, Gatti, Maura, Cozzolino, Claudia, Rugge, Massimo, Zorzi, Manuel, Gardi, Mario, Sepulcri, Matteo, Bimbatti, Davide, Baldo, Vincenzo, Maruzzo, Marco, Basso, Umberto, Zagonel, Vittorina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9764745/
https://www.ncbi.nlm.nih.gov/pubmed/36536329
http://dx.doi.org/10.1186/s12894-022-01160-y
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author Buja, Alessandra
De Luca, Giuseppe
Gatti, Maura
Cozzolino, Claudia
Rugge, Massimo
Zorzi, Manuel
Gardi, Mario
Sepulcri, Matteo
Bimbatti, Davide
Baldo, Vincenzo
Maruzzo, Marco
Basso, Umberto
Zagonel, Vittorina
author_facet Buja, Alessandra
De Luca, Giuseppe
Gatti, Maura
Cozzolino, Claudia
Rugge, Massimo
Zorzi, Manuel
Gardi, Mario
Sepulcri, Matteo
Bimbatti, Davide
Baldo, Vincenzo
Maruzzo, Marco
Basso, Umberto
Zagonel, Vittorina
author_sort Buja, Alessandra
collection PubMed
description BACKGROUND: The RCC treatment landscape has evolved dramatically over the past decade. The purpose of this study is to present a real-world data estimation of RCC’s cost-of-illness for this tumour’s clinical pathway. METHODS: This investigation is a population-based cohort study using real-world data, which considers all RCC incident cases diagnosed in Local Unit 6 of the Province of Padua in 2016 and 2017 as registered by the Veneto Cancer Registry. Data on drug prescriptions, the use of medical devices, hospital admissions, and visits to outpatient clinics and emergency departments were collected by means of administrative databases. We evaluated the costs of all healthcare procedures performed in the 2 years of follow-up post-RCC diagnosis. The overall and annual average real-world costs per patient, both as a whole and by single item, were calculated and stratified by stage of disease at diagnosis. RESULTS: The analysis involved a population of 148 patients with a median age of 65.8 years, 66.22% of whom were male. Two years after diagnosis, the average total costs amounted to €21,429 per patient. There is a steady increment in costs with increasing stage at diagnosis, with a total amount of €41,494 spent 2 years after diagnosis for stage IV patients, which is 2.44 times higher than the expenditure for stage I patients (€17,037). In the first year, hospitalization appeared to be the most expensive item for both early and advanced disease. In the second year, however, outpatient procedures were the main cost driver in the earlier stages, whereas anticancer drugs accounted for the highest costs in the advanced stages. CONCLUSIONS: This observational study provides real-world and valuable estimates of RCC’s cost-of-illness, which could enable policymakers to construct dynamic economic cost-effectiveness evaluation models based on real world costs’ evaluation.
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spelling pubmed-97647452022-12-21 Renal cell carcinoma: the population, real world, and cost-of-illness Buja, Alessandra De Luca, Giuseppe Gatti, Maura Cozzolino, Claudia Rugge, Massimo Zorzi, Manuel Gardi, Mario Sepulcri, Matteo Bimbatti, Davide Baldo, Vincenzo Maruzzo, Marco Basso, Umberto Zagonel, Vittorina BMC Urol Research BACKGROUND: The RCC treatment landscape has evolved dramatically over the past decade. The purpose of this study is to present a real-world data estimation of RCC’s cost-of-illness for this tumour’s clinical pathway. METHODS: This investigation is a population-based cohort study using real-world data, which considers all RCC incident cases diagnosed in Local Unit 6 of the Province of Padua in 2016 and 2017 as registered by the Veneto Cancer Registry. Data on drug prescriptions, the use of medical devices, hospital admissions, and visits to outpatient clinics and emergency departments were collected by means of administrative databases. We evaluated the costs of all healthcare procedures performed in the 2 years of follow-up post-RCC diagnosis. The overall and annual average real-world costs per patient, both as a whole and by single item, were calculated and stratified by stage of disease at diagnosis. RESULTS: The analysis involved a population of 148 patients with a median age of 65.8 years, 66.22% of whom were male. Two years after diagnosis, the average total costs amounted to €21,429 per patient. There is a steady increment in costs with increasing stage at diagnosis, with a total amount of €41,494 spent 2 years after diagnosis for stage IV patients, which is 2.44 times higher than the expenditure for stage I patients (€17,037). In the first year, hospitalization appeared to be the most expensive item for both early and advanced disease. In the second year, however, outpatient procedures were the main cost driver in the earlier stages, whereas anticancer drugs accounted for the highest costs in the advanced stages. CONCLUSIONS: This observational study provides real-world and valuable estimates of RCC’s cost-of-illness, which could enable policymakers to construct dynamic economic cost-effectiveness evaluation models based on real world costs’ evaluation. BioMed Central 2022-12-19 /pmc/articles/PMC9764745/ /pubmed/36536329 http://dx.doi.org/10.1186/s12894-022-01160-y Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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.
spellingShingle Research
Buja, Alessandra
De Luca, Giuseppe
Gatti, Maura
Cozzolino, Claudia
Rugge, Massimo
Zorzi, Manuel
Gardi, Mario
Sepulcri, Matteo
Bimbatti, Davide
Baldo, Vincenzo
Maruzzo, Marco
Basso, Umberto
Zagonel, Vittorina
Renal cell carcinoma: the population, real world, and cost-of-illness
title Renal cell carcinoma: the population, real world, and cost-of-illness
title_full Renal cell carcinoma: the population, real world, and cost-of-illness
title_fullStr Renal cell carcinoma: the population, real world, and cost-of-illness
title_full_unstemmed Renal cell carcinoma: the population, real world, and cost-of-illness
title_short Renal cell carcinoma: the population, real world, and cost-of-illness
title_sort renal cell carcinoma: the population, real world, and cost-of-illness
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9764745/
https://www.ncbi.nlm.nih.gov/pubmed/36536329
http://dx.doi.org/10.1186/s12894-022-01160-y
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