Skip to main content
Top
Published in: Health and Quality of Life Outcomes 1/2017

Open Access 01-12-2017 | Research

Patient-reported health state utilities in metastatic gastroenteropancreatic neuroendocrine tumours – an analysis based on the CLARINET study

Authors: Yang Meng, Grant McCarthy, Anthony Berthon, Jerome Dinet

Published in: Health and Quality of Life Outcomes | Issue 1/2017

Login to get access

Abstract

Background

Gastroenteropancreatic neuroendocrine tumours (GEP-NETs) are rare cancers most often found in the gastrointestinal system or the pancreas. However, patient-reported health state utilities based on clinical trials have not been previously reported in this disease area.

Methods

The CLARINET study collected EORTC QLQ-C30 data from patients in both stable and progressive disease states, although data for the latter were only available during the early stage of progression due to trial design. Using published algorithms, data were mapped to EQ-5D utility values. Random-effects generalised least squares models were used to investigate the impacts of progression status, tumour site and other patient characteristics on mapped utility values.

Results

In total, 1053 observations from 204 patients were mapped to EQ-5D utilities using the McKenzie mapping algorithm. The final random-effects model included age, gender, baseline utility and progression status as covariates; it was not feasible to investigate time-to-death utility due to a limit number of deaths in the CLARINET study. Tumour location (midgut vs pancreas) does not seem to affect utility. However, the difference in utilities based on progression status is statistically significant (p < 0.05) in the base case analysis, and the estimated utilities for stable and progressive disease are 0.776 and 0.726, respectively. Furthermore, scenario analyses showed that utility for progressive disease is numerically lower than for stable disease, but this may not be statistically significant in scenarios where alternative Longworth mapping algorithm was used.

Conclusions

Patients with GEP-NETs experience worse utility values in the progressive disease state compared to the stable disease state, based on patient-reported health-related quality of life (HRQL) data from the CLARINET study. The decline of utility in the progressive disease state may be underestimated because progressive HRQL data were only collected shortly after the progression event in the trial. The estimated trial-based utilities can be used in future economic evaluations for GEP-NET treatments and to provide more insights to physicians on patient-reported quality of life outcomes in GEP-NETs.

Trial registration

CLARINET EU Clinical Trials Register Number, 2005–004904-35.
Literature
1.
go back to reference Díez M, Teulé A, Salazar R. Gastroenteropancreatic neuroendocrine tumors: diagnosis and treatment. Ann Gastroenterol. 2013;26(1):29–36.PubMedPubMedCentral Díez M, Teulé A, Salazar R. Gastroenteropancreatic neuroendocrine tumors: diagnosis and treatment. Ann Gastroenterol. 2013;26(1):29–36.PubMedPubMedCentral
2.
go back to reference Yao JC, et al. One hundred years after "carcinoid": epidemiology of and prognostic factors for neuroendocrine tumors in 35,825 cases in the United States. J Clin Oncol. 2008;26(18):3063–72.CrossRefPubMed Yao JC, et al. One hundred years after "carcinoid": epidemiology of and prognostic factors for neuroendocrine tumors in 35,825 cases in the United States. J Clin Oncol. 2008;26(18):3063–72.CrossRefPubMed
3.
go back to reference Caplin ME, et al. Lanreotide in metastatic enteropancreatic neuroendocrine tumors. N Engl J Med. 2014;371(3):224–33.CrossRefPubMed Caplin ME, et al. Lanreotide in metastatic enteropancreatic neuroendocrine tumors. N Engl J Med. 2014;371(3):224–33.CrossRefPubMed
4.
go back to reference Dakin H. Review of studies mapping from quality of life or clinical measures to EQ-5D: an online database. Health Qual Life Outcomes. 2013;11(1):1–6.CrossRef Dakin H. Review of studies mapping from quality of life or clinical measures to EQ-5D: an online database. Health Qual Life Outcomes. 2013;11(1):1–6.CrossRef
6.
go back to reference Swinburn P, et al. Elicitation of health state utilities in neuroendocrine tumours. J Med Econ. 2012;15(4):681–7.CrossRefPubMed Swinburn P, et al. Elicitation of health state utilities in neuroendocrine tumours. J Med Econ. 2012;15(4):681–7.CrossRefPubMed
7.
go back to reference Brazier J, et al. Measuring and valuing health benefits for economic evaluation. Oxford: Oxford University Press; 2016. p. 236–9.CrossRef Brazier J, et al. Measuring and valuing health benefits for economic evaluation. Oxford: Oxford University Press; 2016. p. 236–9.CrossRef
9.
go back to reference Crott R, Briggs A. Mapping the QLQ-C30 quality of life cancer questionnaire to EQ-5D patient preferences. Eur J Health Econ. 2010;11(4):427–34.CrossRefPubMed Crott R, Briggs A. Mapping the QLQ-C30 quality of life cancer questionnaire to EQ-5D patient preferences. Eur J Health Econ. 2010;11(4):427–34.CrossRefPubMed
10.
go back to reference Doble B, Lorgelly P. Mapping the EORTC QLQ-C30 onto the EQ-5D-3L: assessing the external validity of existing mapping algorithms. Qual Life Res. 2016;25(4):891–911.CrossRefPubMed Doble B, Lorgelly P. Mapping the EORTC QLQ-C30 onto the EQ-5D-3L: assessing the external validity of existing mapping algorithms. Qual Life Res. 2016;25(4):891–911.CrossRefPubMed
11.
go back to reference Kim E-J, Ko S-K, Kang H-Y. Mapping the cancer-specific EORTC QLQ-C30 and EORTC QLQ-BR23 to the generic EQ-5D in metastatic breast cancer patients. Qual Life Res. 2012;21(7):1193–203.CrossRefPubMed Kim E-J, Ko S-K, Kang H-Y. Mapping the cancer-specific EORTC QLQ-C30 and EORTC QLQ-BR23 to the generic EQ-5D in metastatic breast cancer patients. Qual Life Res. 2012;21(7):1193–203.CrossRefPubMed
12.
go back to reference Kim SH, et al. Mapping EORTC QLQ-C30 onto EQ-5D for the assessment of cancer patients. Health Qual Life Outcomes. 2012;10(1):1.CrossRef Kim SH, et al. Mapping EORTC QLQ-C30 onto EQ-5D for the assessment of cancer patients. Health Qual Life Outcomes. 2012;10(1):1.CrossRef
13.
go back to reference Khan I, Morris S. A non-linear beta-binomial regression model for mapping EORTC QLQ-C30 to the EQ-5D-3L in lung cancer patients: a comparison with existing approaches. Health Qual Life Outcomes. 2014;12(1):1.CrossRef Khan I, Morris S. A non-linear beta-binomial regression model for mapping EORTC QLQ-C30 to the EQ-5D-3L in lung cancer patients: a comparison with existing approaches. Health Qual Life Outcomes. 2014;12(1):1.CrossRef
14.
go back to reference Kontodimopoulos N, et al. Mapping the cancer-specific EORTC QLQ-C30 to the preference-based EQ-5D, SF-6D, and 15D instruments. Value Health. 2009;12(8):1151–7.CrossRefPubMed Kontodimopoulos N, et al. Mapping the cancer-specific EORTC QLQ-C30 to the preference-based EQ-5D, SF-6D, and 15D instruments. Value Health. 2009;12(8):1151–7.CrossRefPubMed
15.
go back to reference Longworth L, et al. Use of generic and condition-specific measures of health-related quality of life in NICE decision-making: systematic review, statistical modelling and survey. Health Technol Assess. 2014;18(9):1–224.CrossRefPubMedPubMedCentral Longworth L, et al. Use of generic and condition-specific measures of health-related quality of life in NICE decision-making: systematic review, statistical modelling and survey. Health Technol Assess. 2014;18(9):1–224.CrossRefPubMedPubMedCentral
16.
go back to reference McKenzie L, Van Der Pol M. Mapping the EORTC QLQ C-30 onto the EQ-5D instrument: the potential to estimate QALYs without generic preference data. Value Health. 2009;12(1):167–71.CrossRefPubMed McKenzie L, Van Der Pol M. Mapping the EORTC QLQ C-30 onto the EQ-5D instrument: the potential to estimate QALYs without generic preference data. Value Health. 2009;12(1):167–71.CrossRefPubMed
17.
go back to reference Rowen D, et al. Comparison of generic, condition-specific, and mapped health state utility values for multiple myeloma cancer. Value Health. 2012;15(8):1059–68.CrossRefPubMed Rowen D, et al. Comparison of generic, condition-specific, and mapped health state utility values for multiple myeloma cancer. Value Health. 2012;15(8):1059–68.CrossRefPubMed
18.
go back to reference pCODR Expert Review Committee (pERC), pan-Canadian Oncology Drug Review Final Economic Guidance Report: Sunitinib (Sutent) for pancreatic neuroendocrine tumours. pan-Canadian Oncology Drug Review, 2012. pCODR Expert Review Committee (pERC), pan-Canadian Oncology Drug Review Final Economic Guidance Report: Sunitinib (Sutent) for pancreatic neuroendocrine tumours. pan-Canadian Oncology Drug Review, 2012.
19.
go back to reference Hatswell AJ, et al. Patient-reported utilities in advanced or metastatic melanoma, including analysis of utilities by time to death. Health Qual Life Outcomes. 2014;12(1):1.CrossRef Hatswell AJ, et al. Patient-reported utilities in advanced or metastatic melanoma, including analysis of utilities by time to death. Health Qual Life Outcomes. 2014;12(1):1.CrossRef
20.
go back to reference Goodacre S, Nicholl J. A randomised controlled trial to measure the effect of chest pain unit care upon anxiety, depression, and health-related quality of life [ISRCTN85078221]. Health Qual Life Outcomes. 2004;2(1):39.CrossRefPubMedPubMedCentral Goodacre S, Nicholl J. A randomised controlled trial to measure the effect of chest pain unit care upon anxiety, depression, and health-related quality of life [ISRCTN85078221]. Health Qual Life Outcomes. 2004;2(1):39.CrossRefPubMedPubMedCentral
Metadata
Title
Patient-reported health state utilities in metastatic gastroenteropancreatic neuroendocrine tumours – an analysis based on the CLARINET study
Authors
Yang Meng
Grant McCarthy
Anthony Berthon
Jerome Dinet
Publication date
01-12-2017
Publisher
BioMed Central
Published in
Health and Quality of Life Outcomes / Issue 1/2017
Electronic ISSN: 1477-7525
DOI
https://doi.org/10.1186/s12955-017-0711-z

Other articles of this Issue 1/2017

Health and Quality of Life Outcomes 1/2017 Go to the issue