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Simple and Objective Prediction of Survival in Patients with Lung Cancer: Staging the Host Systemic Inflammatory Response
Background. Prediction of survival in patients diagnosed with lung cancer remains problematical. The aim of the present study was to examine the clinical utility of an established objective marker of the systemic inflammatory response, the Glasgow Prognostic Score, as the basis of risk stratificatio...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4437395/ https://www.ncbi.nlm.nih.gov/pubmed/26316945 http://dx.doi.org/10.1155/2014/731925 |
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author | Grose, Derek Devereux, Graham Brown, Louise Jones, Richard Sharma, Dave Selby, Colin Morrison, David S. Docherty, Kirsty McIntosh, David McElhinney, Penny Nicolson, Marianne McMillan, Donald C. Milroy, Robert |
author_facet | Grose, Derek Devereux, Graham Brown, Louise Jones, Richard Sharma, Dave Selby, Colin Morrison, David S. Docherty, Kirsty McIntosh, David McElhinney, Penny Nicolson, Marianne McMillan, Donald C. Milroy, Robert |
author_sort | Grose, Derek |
collection | PubMed |
description | Background. Prediction of survival in patients diagnosed with lung cancer remains problematical. The aim of the present study was to examine the clinical utility of an established objective marker of the systemic inflammatory response, the Glasgow Prognostic Score, as the basis of risk stratification in patients with lung cancer. Methods. Between 2005 and 2008 all newly diagnosed lung cancer patients coming through the multidisciplinary meetings (MDTs) of four Scottish centres were included in the study. The details of 882 patients with a confirmed new diagnosis of any subtype or stage of lung cancer were collected prospectively. Results. The median survival was 5.6 months (IQR 4.8–6.5). Survival analysis was undertaken in three separate groups based on mGPS score. In the mGPS 0 group the most highly predictive factors were performance status, weight loss, stage of NSCLC, and palliative treatment offered. In the mGPS 1 group performance status, stage of NSCLC, and radical treatment offered were significant. In the mGPS 2 group only performance status and weight loss were statistically significant. Discussion. This present study confirms previous work supporting the use of mGPS in predicting cancer survival; however, it goes further by showing how it might be used to provide more objective risk stratification in patients diagnosed with lung cancer. |
format | Online Article Text |
id | pubmed-4437395 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-44373952015-08-27 Simple and Objective Prediction of Survival in Patients with Lung Cancer: Staging the Host Systemic Inflammatory Response Grose, Derek Devereux, Graham Brown, Louise Jones, Richard Sharma, Dave Selby, Colin Morrison, David S. Docherty, Kirsty McIntosh, David McElhinney, Penny Nicolson, Marianne McMillan, Donald C. Milroy, Robert Lung Cancer Int Research Article Background. Prediction of survival in patients diagnosed with lung cancer remains problematical. The aim of the present study was to examine the clinical utility of an established objective marker of the systemic inflammatory response, the Glasgow Prognostic Score, as the basis of risk stratification in patients with lung cancer. Methods. Between 2005 and 2008 all newly diagnosed lung cancer patients coming through the multidisciplinary meetings (MDTs) of four Scottish centres were included in the study. The details of 882 patients with a confirmed new diagnosis of any subtype or stage of lung cancer were collected prospectively. Results. The median survival was 5.6 months (IQR 4.8–6.5). Survival analysis was undertaken in three separate groups based on mGPS score. In the mGPS 0 group the most highly predictive factors were performance status, weight loss, stage of NSCLC, and palliative treatment offered. In the mGPS 1 group performance status, stage of NSCLC, and radical treatment offered were significant. In the mGPS 2 group only performance status and weight loss were statistically significant. Discussion. This present study confirms previous work supporting the use of mGPS in predicting cancer survival; however, it goes further by showing how it might be used to provide more objective risk stratification in patients diagnosed with lung cancer. Hindawi Publishing Corporation 2014 2014-03-05 /pmc/articles/PMC4437395/ /pubmed/26316945 http://dx.doi.org/10.1155/2014/731925 Text en Copyright © 2014 Derek Grose et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Grose, Derek Devereux, Graham Brown, Louise Jones, Richard Sharma, Dave Selby, Colin Morrison, David S. Docherty, Kirsty McIntosh, David McElhinney, Penny Nicolson, Marianne McMillan, Donald C. Milroy, Robert Simple and Objective Prediction of Survival in Patients with Lung Cancer: Staging the Host Systemic Inflammatory Response |
title | Simple and Objective Prediction of Survival in Patients with Lung Cancer: Staging the Host Systemic Inflammatory Response |
title_full | Simple and Objective Prediction of Survival in Patients with Lung Cancer: Staging the Host Systemic Inflammatory Response |
title_fullStr | Simple and Objective Prediction of Survival in Patients with Lung Cancer: Staging the Host Systemic Inflammatory Response |
title_full_unstemmed | Simple and Objective Prediction of Survival in Patients with Lung Cancer: Staging the Host Systemic Inflammatory Response |
title_short | Simple and Objective Prediction of Survival in Patients with Lung Cancer: Staging the Host Systemic Inflammatory Response |
title_sort | simple and objective prediction of survival in patients with lung cancer: staging the host systemic inflammatory response |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4437395/ https://www.ncbi.nlm.nih.gov/pubmed/26316945 http://dx.doi.org/10.1155/2014/731925 |
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