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Comparing the Accuracy of Seven Scoring Systems in Predicting Survival of Lung Cancer Patients With Spinal Metastases: An External Validation From Two Centers

Retrospective case series. OBJECTIVE. To investigate the accuracy of seven scoring systems for the prediction of survival in lung cancer patients with spinal metastases (SPM). SUMMARY OF BACKGROUND DATA. Although survival scoring systems have been developed for surgical decision-making, the reliabil...

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Autores principales: Yan, Yuan, Zhong, Guoqing, Lai, Huahao, Huang, Chongquan, Yao, Mengyu, Zhou, Maolin, Zhou, Chengzhi, Wang, Jing, Cheng, Shi, Zhang, Yu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10284129/
https://www.ncbi.nlm.nih.gov/pubmed/37350732
http://dx.doi.org/10.1097/BRS.0000000000004576
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author Yan, Yuan
Zhong, Guoqing
Lai, Huahao
Huang, Chongquan
Yao, Mengyu
Zhou, Maolin
Zhou, Chengzhi
Wang, Jing
Cheng, Shi
Zhang, Yu
author_facet Yan, Yuan
Zhong, Guoqing
Lai, Huahao
Huang, Chongquan
Yao, Mengyu
Zhou, Maolin
Zhou, Chengzhi
Wang, Jing
Cheng, Shi
Zhang, Yu
author_sort Yan, Yuan
collection PubMed
description Retrospective case series. OBJECTIVE. To investigate the accuracy of seven scoring systems for the prediction of survival in lung cancer patients with spinal metastases (SPM). SUMMARY OF BACKGROUND DATA. Although survival scoring systems have been developed for surgical decision-making, the reliability and validity of these models are unclear for specific cancer types. As the prevalence of patients with lung cancer increases, it is imperative to determine the accuracy of these models for lung cancer patients with SPM. MATERIALS AND METHODS. This is a retrospective study of a cohort of lung cancer patients with SPM who underwent spine surgery between 2019 and 2021 at two centers. The optimal area under the curve (AUC) was calculated to evaluate the accuracy of seven candidate scoring systems at 3, 6, and 12 months. Calibration and decision curve analysis was used for further validation. RESULTS. A total of 166 patients (mean age: 58.98±10.94; 105 males and 61 females) with SPM were included. The median postoperative survival was 12.87±0.93 months. The modified Bauer score, revised Tokuhashi score, Linden score, Tomita score, the Skeletal Oncology Research Group nomogram, and the New England Spinal Metastasis Score in prediction survival at 3, 6, and 12 months showed a slightly weaker AUC (range 0.464–0.659). The AUC of the Katagiri-New score in predicting 1-year survival for lung cancer patients was the highest (0.708; range 0.619–0.798). The decision curve analysis showed that the Katagiri-New score led to a greater net benefit than the strategies of changing management for all patients or none of the patients. CONCLUSIONS. This study suggests that the most commonly used models have limitations in predicting survival in patients undergoing spinal surgery for metastatic lung cancer and underestimate survival. In this sample of lung cancer patients, the Katagiri-New Scoring system score had the best performance in predicting 1-year survival. LEVEL OF EVIDENCE. 4.
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spelling pubmed-102841292023-06-22 Comparing the Accuracy of Seven Scoring Systems in Predicting Survival of Lung Cancer Patients With Spinal Metastases: An External Validation From Two Centers Yan, Yuan Zhong, Guoqing Lai, Huahao Huang, Chongquan Yao, Mengyu Zhou, Maolin Zhou, Chengzhi Wang, Jing Cheng, Shi Zhang, Yu Spine (Phila Pa 1976) Clinical Case Series Retrospective case series. OBJECTIVE. To investigate the accuracy of seven scoring systems for the prediction of survival in lung cancer patients with spinal metastases (SPM). SUMMARY OF BACKGROUND DATA. Although survival scoring systems have been developed for surgical decision-making, the reliability and validity of these models are unclear for specific cancer types. As the prevalence of patients with lung cancer increases, it is imperative to determine the accuracy of these models for lung cancer patients with SPM. MATERIALS AND METHODS. This is a retrospective study of a cohort of lung cancer patients with SPM who underwent spine surgery between 2019 and 2021 at two centers. The optimal area under the curve (AUC) was calculated to evaluate the accuracy of seven candidate scoring systems at 3, 6, and 12 months. Calibration and decision curve analysis was used for further validation. RESULTS. A total of 166 patients (mean age: 58.98±10.94; 105 males and 61 females) with SPM were included. The median postoperative survival was 12.87±0.93 months. The modified Bauer score, revised Tokuhashi score, Linden score, Tomita score, the Skeletal Oncology Research Group nomogram, and the New England Spinal Metastasis Score in prediction survival at 3, 6, and 12 months showed a slightly weaker AUC (range 0.464–0.659). The AUC of the Katagiri-New score in predicting 1-year survival for lung cancer patients was the highest (0.708; range 0.619–0.798). The decision curve analysis showed that the Katagiri-New score led to a greater net benefit than the strategies of changing management for all patients or none of the patients. CONCLUSIONS. This study suggests that the most commonly used models have limitations in predicting survival in patients undergoing spinal surgery for metastatic lung cancer and underestimate survival. In this sample of lung cancer patients, the Katagiri-New Scoring system score had the best performance in predicting 1-year survival. LEVEL OF EVIDENCE. 4. Lippincott Williams & Wilkins 2023-07-15 2023-03-30 /pmc/articles/PMC10284129/ /pubmed/37350732 http://dx.doi.org/10.1097/BRS.0000000000004576 Text en © 2023 The Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/)
spellingShingle Clinical Case Series
Yan, Yuan
Zhong, Guoqing
Lai, Huahao
Huang, Chongquan
Yao, Mengyu
Zhou, Maolin
Zhou, Chengzhi
Wang, Jing
Cheng, Shi
Zhang, Yu
Comparing the Accuracy of Seven Scoring Systems in Predicting Survival of Lung Cancer Patients With Spinal Metastases: An External Validation From Two Centers
title Comparing the Accuracy of Seven Scoring Systems in Predicting Survival of Lung Cancer Patients With Spinal Metastases: An External Validation From Two Centers
title_full Comparing the Accuracy of Seven Scoring Systems in Predicting Survival of Lung Cancer Patients With Spinal Metastases: An External Validation From Two Centers
title_fullStr Comparing the Accuracy of Seven Scoring Systems in Predicting Survival of Lung Cancer Patients With Spinal Metastases: An External Validation From Two Centers
title_full_unstemmed Comparing the Accuracy of Seven Scoring Systems in Predicting Survival of Lung Cancer Patients With Spinal Metastases: An External Validation From Two Centers
title_short Comparing the Accuracy of Seven Scoring Systems in Predicting Survival of Lung Cancer Patients With Spinal Metastases: An External Validation From Two Centers
title_sort comparing the accuracy of seven scoring systems in predicting survival of lung cancer patients with spinal metastases: an external validation from two centers
topic Clinical Case Series
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10284129/
https://www.ncbi.nlm.nih.gov/pubmed/37350732
http://dx.doi.org/10.1097/BRS.0000000000004576
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