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New prognostic factors and scoring system for patients with skeletal metastasis

The aim of this study was to update a previous scoring system for patients with skeletal metastases, that was proposed by Katagiri et al. in 2005, by introducing a new factor (laboratory data) and analyzing a new patient cohort. Between January 2005 and January 2008, we treated 808 patients with sym...

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Autores principales: Katagiri, Hirohisa, Okada, Rieko, Takagi, Tatsuya, Takahashi, Mitsuru, Murata, Hideki, Harada, Hideyuki, Nishimura, Tetsuo, Asakura, Hirofumi, Ogawa, Hirofumi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Blackwell Publishing Ltd 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4302686/
https://www.ncbi.nlm.nih.gov/pubmed/25044999
http://dx.doi.org/10.1002/cam4.292
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author Katagiri, Hirohisa
Okada, Rieko
Takagi, Tatsuya
Takahashi, Mitsuru
Murata, Hideki
Harada, Hideyuki
Nishimura, Tetsuo
Asakura, Hirofumi
Ogawa, Hirofumi
author_facet Katagiri, Hirohisa
Okada, Rieko
Takagi, Tatsuya
Takahashi, Mitsuru
Murata, Hideki
Harada, Hideyuki
Nishimura, Tetsuo
Asakura, Hirofumi
Ogawa, Hirofumi
author_sort Katagiri, Hirohisa
collection PubMed
description The aim of this study was to update a previous scoring system for patients with skeletal metastases, that was proposed by Katagiri et al. in 2005, by introducing a new factor (laboratory data) and analyzing a new patient cohort. Between January 2005 and January 2008, we treated 808 patients with symptomatic skeletal metastases. They were prospectively registered regardless of their treatments, and the last follow-up evaluation was performed in 2012. There were 441 male and 367 female patients with a median age of 64 years. Of these patients, 749 were treated nonsurgically while the remaining 59 underwent surgery for skeletal metastasis. A multivariate analysis was conducted using the Cox proportional hazards model. We identified six significant prognostic factors for survival, namely, the primary lesion, visceral or cerebral metastases, abnormal laboratory data, poor performance status, previous chemotherapy, and multiple skeletal metastases. The first three factors had a larger impact than the remaining three. The prognostic score was calculated by adding together all the scores for individual factors. With a prognostic score of ≥7, the survival rate was 27% at 6 months, and only 6% at 1 year. In contrast, patients with a prognostic score of ≤3 had a survival rate of 91% at 1 year, and 78% at 2 years. Comparing the revised system with the previous one, there was a significantly lower number of wrongly predicted patients using the revised system. This revised scoring system was able to predict the survival rates of patients with skeletal metastases more accurately than the previous system and may be useful for selecting an optimal treatment.
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spelling pubmed-43026862015-01-22 New prognostic factors and scoring system for patients with skeletal metastasis Katagiri, Hirohisa Okada, Rieko Takagi, Tatsuya Takahashi, Mitsuru Murata, Hideki Harada, Hideyuki Nishimura, Tetsuo Asakura, Hirofumi Ogawa, Hirofumi Cancer Med Clinical Cancer Research The aim of this study was to update a previous scoring system for patients with skeletal metastases, that was proposed by Katagiri et al. in 2005, by introducing a new factor (laboratory data) and analyzing a new patient cohort. Between January 2005 and January 2008, we treated 808 patients with symptomatic skeletal metastases. They were prospectively registered regardless of their treatments, and the last follow-up evaluation was performed in 2012. There were 441 male and 367 female patients with a median age of 64 years. Of these patients, 749 were treated nonsurgically while the remaining 59 underwent surgery for skeletal metastasis. A multivariate analysis was conducted using the Cox proportional hazards model. We identified six significant prognostic factors for survival, namely, the primary lesion, visceral or cerebral metastases, abnormal laboratory data, poor performance status, previous chemotherapy, and multiple skeletal metastases. The first three factors had a larger impact than the remaining three. The prognostic score was calculated by adding together all the scores for individual factors. With a prognostic score of ≥7, the survival rate was 27% at 6 months, and only 6% at 1 year. In contrast, patients with a prognostic score of ≤3 had a survival rate of 91% at 1 year, and 78% at 2 years. Comparing the revised system with the previous one, there was a significantly lower number of wrongly predicted patients using the revised system. This revised scoring system was able to predict the survival rates of patients with skeletal metastases more accurately than the previous system and may be useful for selecting an optimal treatment. Blackwell Publishing Ltd 2014-10 2014-07-10 /pmc/articles/PMC4302686/ /pubmed/25044999 http://dx.doi.org/10.1002/cam4.292 Text en © 2014 The Authors. Cancer Medicine published by John Wiley & Sons Ltd. http://creativecommons.org/licenses/by/3.0/ This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Clinical Cancer Research
Katagiri, Hirohisa
Okada, Rieko
Takagi, Tatsuya
Takahashi, Mitsuru
Murata, Hideki
Harada, Hideyuki
Nishimura, Tetsuo
Asakura, Hirofumi
Ogawa, Hirofumi
New prognostic factors and scoring system for patients with skeletal metastasis
title New prognostic factors and scoring system for patients with skeletal metastasis
title_full New prognostic factors and scoring system for patients with skeletal metastasis
title_fullStr New prognostic factors and scoring system for patients with skeletal metastasis
title_full_unstemmed New prognostic factors and scoring system for patients with skeletal metastasis
title_short New prognostic factors and scoring system for patients with skeletal metastasis
title_sort new prognostic factors and scoring system for patients with skeletal metastasis
topic Clinical Cancer Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4302686/
https://www.ncbi.nlm.nih.gov/pubmed/25044999
http://dx.doi.org/10.1002/cam4.292
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