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The Prediction of Survival after Surgical Management of Bone Metastases of the Extremities—A Comparison of Prognostic Models
Individualized survival prognostic models for symptomatic patients with appendicular metastatic bone disease are key to guiding clinical decision-making for the orthopedic surgeon. Several prognostic models have been developed in recent years; however, most orthopedic surgeons have not incorporated...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9320475/ https://www.ncbi.nlm.nih.gov/pubmed/35877233 http://dx.doi.org/10.3390/curroncol29070373 |
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author | Ben Gal, Ofir Soh, Terrence Chi Fang Vaughan, Sarah Jayasanker, Viswanath Mahendra, Ashish Gupta, Sanjay |
author_facet | Ben Gal, Ofir Soh, Terrence Chi Fang Vaughan, Sarah Jayasanker, Viswanath Mahendra, Ashish Gupta, Sanjay |
author_sort | Ben Gal, Ofir |
collection | PubMed |
description | Individualized survival prognostic models for symptomatic patients with appendicular metastatic bone disease are key to guiding clinical decision-making for the orthopedic surgeon. Several prognostic models have been developed in recent years; however, most orthopedic surgeons have not incorporated these models into routine practice. This is possibly due to uncertainty concerning their accuracy and the lack of comparison publications and recommendations. Our aim was to conduct a review and quality assessment of these models. A computerized literature search in MEDLINE, EMBASE and PubMed up to February 2022 was done, using keywords: “Bone metastasis”, “survival”, “extremity” and “prognosis”. We evaluated each model’s performance, assessing the estimated discriminative power and calibration accuracy for the analyzed patients. We included 11 studies out of the 1779 citations initially retrieved. The 11 studies included seven different models for estimating survival. Among externally validated survival prediction scores, PATHFx 3.0, 2013-SPRING and potentially Optimodel were found to be the best models in terms of performance. Currently, it is still a challenge to recommend any of the models as the standard for predicting survival for these patients. However, some models show better performance status and other quality characteristics. We recommend future, large, multicenter, prospective studies to compare between PATHfx 3.0, SPRING 2013 and OptiModel using the same external validation dataset. |
format | Online Article Text |
id | pubmed-9320475 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-93204752022-07-27 The Prediction of Survival after Surgical Management of Bone Metastases of the Extremities—A Comparison of Prognostic Models Ben Gal, Ofir Soh, Terrence Chi Fang Vaughan, Sarah Jayasanker, Viswanath Mahendra, Ashish Gupta, Sanjay Curr Oncol Systematic Review Individualized survival prognostic models for symptomatic patients with appendicular metastatic bone disease are key to guiding clinical decision-making for the orthopedic surgeon. Several prognostic models have been developed in recent years; however, most orthopedic surgeons have not incorporated these models into routine practice. This is possibly due to uncertainty concerning their accuracy and the lack of comparison publications and recommendations. Our aim was to conduct a review and quality assessment of these models. A computerized literature search in MEDLINE, EMBASE and PubMed up to February 2022 was done, using keywords: “Bone metastasis”, “survival”, “extremity” and “prognosis”. We evaluated each model’s performance, assessing the estimated discriminative power and calibration accuracy for the analyzed patients. We included 11 studies out of the 1779 citations initially retrieved. The 11 studies included seven different models for estimating survival. Among externally validated survival prediction scores, PATHFx 3.0, 2013-SPRING and potentially Optimodel were found to be the best models in terms of performance. Currently, it is still a challenge to recommend any of the models as the standard for predicting survival for these patients. However, some models show better performance status and other quality characteristics. We recommend future, large, multicenter, prospective studies to compare between PATHfx 3.0, SPRING 2013 and OptiModel using the same external validation dataset. MDPI 2022-07-06 /pmc/articles/PMC9320475/ /pubmed/35877233 http://dx.doi.org/10.3390/curroncol29070373 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Systematic Review Ben Gal, Ofir Soh, Terrence Chi Fang Vaughan, Sarah Jayasanker, Viswanath Mahendra, Ashish Gupta, Sanjay The Prediction of Survival after Surgical Management of Bone Metastases of the Extremities—A Comparison of Prognostic Models |
title | The Prediction of Survival after Surgical Management of Bone Metastases of the Extremities—A Comparison of Prognostic Models |
title_full | The Prediction of Survival after Surgical Management of Bone Metastases of the Extremities—A Comparison of Prognostic Models |
title_fullStr | The Prediction of Survival after Surgical Management of Bone Metastases of the Extremities—A Comparison of Prognostic Models |
title_full_unstemmed | The Prediction of Survival after Surgical Management of Bone Metastases of the Extremities—A Comparison of Prognostic Models |
title_short | The Prediction of Survival after Surgical Management of Bone Metastases of the Extremities—A Comparison of Prognostic Models |
title_sort | prediction of survival after surgical management of bone metastases of the extremities—a comparison of prognostic models |
topic | Systematic Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9320475/ https://www.ncbi.nlm.nih.gov/pubmed/35877233 http://dx.doi.org/10.3390/curroncol29070373 |
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