The present and future burden of previously treated advanced non-small cell lung cancer (NSCLC) by histology and line of therapy in France, Germany, Italy, and Spain: model-based predictions
Abstract Background The burden of advanced non-small cell lung cancer (NSCLC) is not well understood, and the number of patients likely to receive treatment in Europe has not been quantified. The aim of this study was to forecast the annual number of patients with squamous and non-squamous advanced...
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doaj-950548330e95463292960d77da2f3f0d2020-11-25T01:49:02ZengBMCPopulation Health Metrics1478-79542018-11-011611810.1186/s12963-018-0174-4The present and future burden of previously treated advanced non-small cell lung cancer (NSCLC) by histology and line of therapy in France, Germany, Italy, and Spain: model-based predictionsDavid Campbell0Ken O’Day1Nadine Hertel2John R. Penrod3Melinda Manley Daumont4Michael Lees5Xcenda LLC, Palm HarborXcenda LLC, Palm HarborWorldwide Health Economics and Outcomes Research, Bristol-Myers Squibb Pharmaceuticals LtdWorldwide Health Economics and Outcomes Research, Bristol-Myers Squibb Pharmaceuticals LtdWorldwide Health Economics and Outcomes Research, Bristol-Myers Squibb Pharmaceuticals LtdWorldwide Health Economics and Outcomes Research, Bristol-Myers Squibb Pharmaceuticals LtdAbstract Background The burden of advanced non-small cell lung cancer (NSCLC) is not well understood, and the number of patients likely to receive treatment in Europe has not been quantified. The aim of this study was to forecast the annual number of patients with squamous and non-squamous advanced NSCLC likely to receive second and third lines of therapy (LOT) from 2016 to 2020 in France, Germany, Italy, and Spain. Methods A patient count model (PCM) was developed in Microsoft Excel to estimate the number of patients with refractory advanced NSCLC eligible to receive systemic treatment. Using historical population-based cancer registry data, segmented linear regression (“Joinpoint”) was used to forecast age- and sex-stratified lung cancer incidence rates in each country through 2020. Yearly incident case count totals by country were apportioned according to NSCLC histology and stage at diagnosis. Country-specific treatment rates came from a recent medical chart review study, and early- to advanced-stage disease progression rates were estimated over a 10-year interval. A probabilistic sensitivity analysis (PSA) was performed to estimate variability in the patient counts. Results The combined number of squamous and non-squamous advanced NSCLC patients estimated to receive second and third LOT, respectively, in 2016 were France = 11,600 and 3500; Germany = 15,100 and 4900; Italy = 13,500 and 2500; Spain = 9400 and 2100. The forecasted numbers of patients receiving second and third LOT, respectively, in 2020 were France = 13,900 and 4200; Germany = 16,200 and 5200; Italy = 15,100 and 2600; Spain = 11,000 and 2500. Conclusions Driven by growth in the incidence of NSCLC among women, the model forecasts an overall increase in the number of patients with advanced-stage squamous and non-squamous NSCLC likely to receive systemic treatment in the year 2020. The results highlight the significant burden of refractory advanced NSCLC and the need for more robust surveillance data to accurately quantify the burden of disease.http://link.springer.com/article/10.1186/s12963-018-0174-4Non-small cell lung cancerPredictive modelPatient forecastPatient number estimatesTreatment patternsLine of therapy, Europe |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
David Campbell Ken O’Day Nadine Hertel John R. Penrod Melinda Manley Daumont Michael Lees |
spellingShingle |
David Campbell Ken O’Day Nadine Hertel John R. Penrod Melinda Manley Daumont Michael Lees The present and future burden of previously treated advanced non-small cell lung cancer (NSCLC) by histology and line of therapy in France, Germany, Italy, and Spain: model-based predictions Population Health Metrics Non-small cell lung cancer Predictive model Patient forecast Patient number estimates Treatment patterns Line of therapy, Europe |
author_facet |
David Campbell Ken O’Day Nadine Hertel John R. Penrod Melinda Manley Daumont Michael Lees |
author_sort |
David Campbell |
title |
The present and future burden of previously treated advanced non-small cell lung cancer (NSCLC) by histology and line of therapy in France, Germany, Italy, and Spain: model-based predictions |
title_short |
The present and future burden of previously treated advanced non-small cell lung cancer (NSCLC) by histology and line of therapy in France, Germany, Italy, and Spain: model-based predictions |
title_full |
The present and future burden of previously treated advanced non-small cell lung cancer (NSCLC) by histology and line of therapy in France, Germany, Italy, and Spain: model-based predictions |
title_fullStr |
The present and future burden of previously treated advanced non-small cell lung cancer (NSCLC) by histology and line of therapy in France, Germany, Italy, and Spain: model-based predictions |
title_full_unstemmed |
The present and future burden of previously treated advanced non-small cell lung cancer (NSCLC) by histology and line of therapy in France, Germany, Italy, and Spain: model-based predictions |
title_sort |
present and future burden of previously treated advanced non-small cell lung cancer (nsclc) by histology and line of therapy in france, germany, italy, and spain: model-based predictions |
publisher |
BMC |
series |
Population Health Metrics |
issn |
1478-7954 |
publishDate |
2018-11-01 |
description |
Abstract Background The burden of advanced non-small cell lung cancer (NSCLC) is not well understood, and the number of patients likely to receive treatment in Europe has not been quantified. The aim of this study was to forecast the annual number of patients with squamous and non-squamous advanced NSCLC likely to receive second and third lines of therapy (LOT) from 2016 to 2020 in France, Germany, Italy, and Spain. Methods A patient count model (PCM) was developed in Microsoft Excel to estimate the number of patients with refractory advanced NSCLC eligible to receive systemic treatment. Using historical population-based cancer registry data, segmented linear regression (“Joinpoint”) was used to forecast age- and sex-stratified lung cancer incidence rates in each country through 2020. Yearly incident case count totals by country were apportioned according to NSCLC histology and stage at diagnosis. Country-specific treatment rates came from a recent medical chart review study, and early- to advanced-stage disease progression rates were estimated over a 10-year interval. A probabilistic sensitivity analysis (PSA) was performed to estimate variability in the patient counts. Results The combined number of squamous and non-squamous advanced NSCLC patients estimated to receive second and third LOT, respectively, in 2016 were France = 11,600 and 3500; Germany = 15,100 and 4900; Italy = 13,500 and 2500; Spain = 9400 and 2100. The forecasted numbers of patients receiving second and third LOT, respectively, in 2020 were France = 13,900 and 4200; Germany = 16,200 and 5200; Italy = 15,100 and 2600; Spain = 11,000 and 2500. Conclusions Driven by growth in the incidence of NSCLC among women, the model forecasts an overall increase in the number of patients with advanced-stage squamous and non-squamous NSCLC likely to receive systemic treatment in the year 2020. The results highlight the significant burden of refractory advanced NSCLC and the need for more robust surveillance data to accurately quantify the burden of disease. |
topic |
Non-small cell lung cancer Predictive model Patient forecast Patient number estimates Treatment patterns Line of therapy, Europe |
url |
http://link.springer.com/article/10.1186/s12963-018-0174-4 |
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