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Prognostic factors and survival prediction for patients with metastatic lung adenocarcinoma: A population-based study
The prognosis of metastatic lung adenocarcinoma (MLUAD) varies greatly. At present, no studies have constructed a satisfactory prognostic model for MLUAD. We identified 44,878 patients with MLUAD. The patients were randomized into the training and validation cohorts. Cox regression models were perfo...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9750683/ https://www.ncbi.nlm.nih.gov/pubmed/36626448 http://dx.doi.org/10.1097/MD.0000000000032217 |
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author | Wu, Bo Chen, Jianhui Zhang, Xiang Feng, Nan Xiang, Zhongtian Wei, Yiping Xie, Junping Zhang, Wenxiong |
author_facet | Wu, Bo Chen, Jianhui Zhang, Xiang Feng, Nan Xiang, Zhongtian Wei, Yiping Xie, Junping Zhang, Wenxiong |
author_sort | Wu, Bo |
collection | PubMed |
description | The prognosis of metastatic lung adenocarcinoma (MLUAD) varies greatly. At present, no studies have constructed a satisfactory prognostic model for MLUAD. We identified 44,878 patients with MLUAD. The patients were randomized into the training and validation cohorts. Cox regression models were performed to identify independent prognostic factors. Then, R software was employed to construct a new nomogram for predicting overall survival (OS) of patients with MLUAD. Accuracy was assessed by the concordance index (C-index), receiver operating characteristic curves and calibration plots. Finally, clinical practicability was examined via decision curve analysis. The OS time range for the included populations was 0 to 107 months, and the median OS was 7.00 months. Nineteen variables were significantly associated with the prognosis, and the top 5 prognostic factors were chemotherapy, grade, age, race and surgery. The nomogram has excellent predictive accuracy and clinical applicability compared to the TNM system (C-index: 0.723 vs 0.534). The C-index values were 0.723 (95% confidence interval: 0.719–0.726) and 0.723 (95% confidence interval: 0.718–0.729) in the training and validation cohorts, respectively. The area under the curve for 6-, 12-, and 18-month OS was 0.799, 0.764, and 0.750, respectively, in the training cohort and 0.799, 0.762, and 0.746, respectively, in the validation cohort. The calibration plots show good accuracy, and the decision curve analysis values indicate good clinical applicability and effectiveness. The nomogram model constructed with the above 19 prognostic factors is suitable for predicting the OS of MLUAD and has good predictive accuracy and clinical applicability. |
format | Online Article Text |
id | pubmed-9750683 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-97506832022-12-28 Prognostic factors and survival prediction for patients with metastatic lung adenocarcinoma: A population-based study Wu, Bo Chen, Jianhui Zhang, Xiang Feng, Nan Xiang, Zhongtian Wei, Yiping Xie, Junping Zhang, Wenxiong Medicine (Baltimore) 5700 The prognosis of metastatic lung adenocarcinoma (MLUAD) varies greatly. At present, no studies have constructed a satisfactory prognostic model for MLUAD. We identified 44,878 patients with MLUAD. The patients were randomized into the training and validation cohorts. Cox regression models were performed to identify independent prognostic factors. Then, R software was employed to construct a new nomogram for predicting overall survival (OS) of patients with MLUAD. Accuracy was assessed by the concordance index (C-index), receiver operating characteristic curves and calibration plots. Finally, clinical practicability was examined via decision curve analysis. The OS time range for the included populations was 0 to 107 months, and the median OS was 7.00 months. Nineteen variables were significantly associated with the prognosis, and the top 5 prognostic factors were chemotherapy, grade, age, race and surgery. The nomogram has excellent predictive accuracy and clinical applicability compared to the TNM system (C-index: 0.723 vs 0.534). The C-index values were 0.723 (95% confidence interval: 0.719–0.726) and 0.723 (95% confidence interval: 0.718–0.729) in the training and validation cohorts, respectively. The area under the curve for 6-, 12-, and 18-month OS was 0.799, 0.764, and 0.750, respectively, in the training cohort and 0.799, 0.762, and 0.746, respectively, in the validation cohort. The calibration plots show good accuracy, and the decision curve analysis values indicate good clinical applicability and effectiveness. The nomogram model constructed with the above 19 prognostic factors is suitable for predicting the OS of MLUAD and has good predictive accuracy and clinical applicability. Lippincott Williams & Wilkins 2022-12-09 /pmc/articles/PMC9750683/ /pubmed/36626448 http://dx.doi.org/10.1097/MD.0000000000032217 Text en Copyright © 2022 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC) (https://creativecommons.org/licenses/by-nc/4.0/) , where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal. |
spellingShingle | 5700 Wu, Bo Chen, Jianhui Zhang, Xiang Feng, Nan Xiang, Zhongtian Wei, Yiping Xie, Junping Zhang, Wenxiong Prognostic factors and survival prediction for patients with metastatic lung adenocarcinoma: A population-based study |
title | Prognostic factors and survival prediction for patients with metastatic lung adenocarcinoma: A population-based study |
title_full | Prognostic factors and survival prediction for patients with metastatic lung adenocarcinoma: A population-based study |
title_fullStr | Prognostic factors and survival prediction for patients with metastatic lung adenocarcinoma: A population-based study |
title_full_unstemmed | Prognostic factors and survival prediction for patients with metastatic lung adenocarcinoma: A population-based study |
title_short | Prognostic factors and survival prediction for patients with metastatic lung adenocarcinoma: A population-based study |
title_sort | prognostic factors and survival prediction for patients with metastatic lung adenocarcinoma: a population-based study |
topic | 5700 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9750683/ https://www.ncbi.nlm.nih.gov/pubmed/36626448 http://dx.doi.org/10.1097/MD.0000000000032217 |
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