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The Predicted Impact of Ipilimumab Usage on Survival in Previously Treated Advanced or Metastatic Melanoma in the UK

BACKGROUND: Evaluating long-term prognosis is important for physicians, patients and payers. This study reports the results of a model developed to predict long-term survival for UK patients receiving second-line ipilimumab. METHODS: MDX010-20 trial data were used to predict survival for ipilimumab...

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Autores principales: Larkin, James, Hatswell, Anthony J., Nathan, Paul, Lebmeier, Maximilian, Lee, Dawn
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4689358/
https://www.ncbi.nlm.nih.gov/pubmed/26700304
http://dx.doi.org/10.1371/journal.pone.0145524
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author Larkin, James
Hatswell, Anthony J.
Nathan, Paul
Lebmeier, Maximilian
Lee, Dawn
author_facet Larkin, James
Hatswell, Anthony J.
Nathan, Paul
Lebmeier, Maximilian
Lee, Dawn
author_sort Larkin, James
collection PubMed
description BACKGROUND: Evaluating long-term prognosis is important for physicians, patients and payers. This study reports the results of a model developed to predict long-term survival for UK patients receiving second-line ipilimumab. METHODS: MDX010-20 trial data were used to predict survival for ipilimumab versus UK best supportive care. Two aspects of this analysis required novel approaches: 1) The overall survival Kaplan–Meier data shape is unusual: an initial steep decline is observed before a ‘plateau’. 2) The need to extrapolate beyond the trial end (4.6 years). Based upon UK clinician advice, a three-part curve fit was used: from 0–1.5 years, Kaplan–Meier data from the trial; from 1.5–5 years, standard parametric curve fits; after 5 years, long-term data from the American Joint Committee on Cancer registry. RESULTS: This approach provided good internal validity: low mean absolute error and good match to median and mean trial data. Lifetime predicted means were 2.77 years for ipilimumab and 1.07 for best supportive care, driven by increased long-term survival with ipilimumab. CONCLUSION: To understand the full benefit of treatment and to meet reimbursement requirements, accurate estimation of treatment benefit is key. Models, such as the one presented, can be used to extrapolate beyond trials.
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spelling pubmed-46893582015-12-31 The Predicted Impact of Ipilimumab Usage on Survival in Previously Treated Advanced or Metastatic Melanoma in the UK Larkin, James Hatswell, Anthony J. Nathan, Paul Lebmeier, Maximilian Lee, Dawn PLoS One Research Article BACKGROUND: Evaluating long-term prognosis is important for physicians, patients and payers. This study reports the results of a model developed to predict long-term survival for UK patients receiving second-line ipilimumab. METHODS: MDX010-20 trial data were used to predict survival for ipilimumab versus UK best supportive care. Two aspects of this analysis required novel approaches: 1) The overall survival Kaplan–Meier data shape is unusual: an initial steep decline is observed before a ‘plateau’. 2) The need to extrapolate beyond the trial end (4.6 years). Based upon UK clinician advice, a three-part curve fit was used: from 0–1.5 years, Kaplan–Meier data from the trial; from 1.5–5 years, standard parametric curve fits; after 5 years, long-term data from the American Joint Committee on Cancer registry. RESULTS: This approach provided good internal validity: low mean absolute error and good match to median and mean trial data. Lifetime predicted means were 2.77 years for ipilimumab and 1.07 for best supportive care, driven by increased long-term survival with ipilimumab. CONCLUSION: To understand the full benefit of treatment and to meet reimbursement requirements, accurate estimation of treatment benefit is key. Models, such as the one presented, can be used to extrapolate beyond trials. Public Library of Science 2015-12-23 /pmc/articles/PMC4689358/ /pubmed/26700304 http://dx.doi.org/10.1371/journal.pone.0145524 Text en © 2015 Larkin et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Larkin, James
Hatswell, Anthony J.
Nathan, Paul
Lebmeier, Maximilian
Lee, Dawn
The Predicted Impact of Ipilimumab Usage on Survival in Previously Treated Advanced or Metastatic Melanoma in the UK
title The Predicted Impact of Ipilimumab Usage on Survival in Previously Treated Advanced or Metastatic Melanoma in the UK
title_full The Predicted Impact of Ipilimumab Usage on Survival in Previously Treated Advanced or Metastatic Melanoma in the UK
title_fullStr The Predicted Impact of Ipilimumab Usage on Survival in Previously Treated Advanced or Metastatic Melanoma in the UK
title_full_unstemmed The Predicted Impact of Ipilimumab Usage on Survival in Previously Treated Advanced or Metastatic Melanoma in the UK
title_short The Predicted Impact of Ipilimumab Usage on Survival in Previously Treated Advanced or Metastatic Melanoma in the UK
title_sort predicted impact of ipilimumab usage on survival in previously treated advanced or metastatic melanoma in the uk
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4689358/
https://www.ncbi.nlm.nih.gov/pubmed/26700304
http://dx.doi.org/10.1371/journal.pone.0145524
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