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A nomogram to predict the cancer‐specific survival of stage II–IV Epithelial ovarian cancer after bulking surgery and chemotherapy

OBJECTIVE: In order to predict the survival rate of ovarian cancer patients, multiple independent risk factors are integrated to establish a prognostic nomogram. METHODS: Cox analysis was used to construct the nomogram. All of the mainly independent factors, which can be used to predict 3‐year and 5...

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Autores principales: Zhao, Ling, Yu, Ping, Zhang, Li
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8267121/
https://www.ncbi.nlm.nih.gov/pubmed/34057318
http://dx.doi.org/10.1002/cam4.3980
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author Zhao, Ling
Yu, Ping
Zhang, Li
author_facet Zhao, Ling
Yu, Ping
Zhang, Li
author_sort Zhao, Ling
collection PubMed
description OBJECTIVE: In order to predict the survival rate of ovarian cancer patients, multiple independent risk factors are integrated to establish a prognostic nomogram. METHODS: Cox analysis was used to construct the nomogram. All of the mainly independent factors, which can be used to predict 3‐year and 5‐year survival rates for cancer in the training cohort, were incorporated to establish nomograms. The C‐index, operating characteristic, ROC curves, and calibration plots can show evaluation results of performance. RESULTS: Model derivation was based on 3277 patients who belong to different races. The best threshold for age was 51, 59, and 67 year old and the older the people, the worse their survival. Meanwhile, many lymph node examinations indicated a favorable survival and the survival of the positive set was worse than of that. In addition, the optional threshold was 64 mm for tumor size and the set larger than 64 mm had a better survival than that less than 64 mm. Univariate Cox proportional hazards regression model showed that the similar worse outcomes were showed in black race, advanced grade, stage T3, stage M1, lymph nodes positive, and CA125 positive compared with the first group. We found that the number of lymph nodes examined and tumor size had an inverse relationship with its corresponding score of CSS in training cases with bulking surgery and chemotherapy. CONCLUSIONS: We developed a model which relatively accurately predicted the prognosis of ovarian cancer by multiple univariate analysis, at the same time, the proposed nomograms exhibit superior prognostic discrimination and survival prediction.
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spelling pubmed-82671212021-07-13 A nomogram to predict the cancer‐specific survival of stage II–IV Epithelial ovarian cancer after bulking surgery and chemotherapy Zhao, Ling Yu, Ping Zhang, Li Cancer Med Clinical Cancer Research OBJECTIVE: In order to predict the survival rate of ovarian cancer patients, multiple independent risk factors are integrated to establish a prognostic nomogram. METHODS: Cox analysis was used to construct the nomogram. All of the mainly independent factors, which can be used to predict 3‐year and 5‐year survival rates for cancer in the training cohort, were incorporated to establish nomograms. The C‐index, operating characteristic, ROC curves, and calibration plots can show evaluation results of performance. RESULTS: Model derivation was based on 3277 patients who belong to different races. The best threshold for age was 51, 59, and 67 year old and the older the people, the worse their survival. Meanwhile, many lymph node examinations indicated a favorable survival and the survival of the positive set was worse than of that. In addition, the optional threshold was 64 mm for tumor size and the set larger than 64 mm had a better survival than that less than 64 mm. Univariate Cox proportional hazards regression model showed that the similar worse outcomes were showed in black race, advanced grade, stage T3, stage M1, lymph nodes positive, and CA125 positive compared with the first group. We found that the number of lymph nodes examined and tumor size had an inverse relationship with its corresponding score of CSS in training cases with bulking surgery and chemotherapy. CONCLUSIONS: We developed a model which relatively accurately predicted the prognosis of ovarian cancer by multiple univariate analysis, at the same time, the proposed nomograms exhibit superior prognostic discrimination and survival prediction. John Wiley and Sons Inc. 2021-05-31 /pmc/articles/PMC8267121/ /pubmed/34057318 http://dx.doi.org/10.1002/cam4.3980 Text en © 2021 The Authors. Cancer Medicine published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Clinical Cancer Research
Zhao, Ling
Yu, Ping
Zhang, Li
A nomogram to predict the cancer‐specific survival of stage II–IV Epithelial ovarian cancer after bulking surgery and chemotherapy
title A nomogram to predict the cancer‐specific survival of stage II–IV Epithelial ovarian cancer after bulking surgery and chemotherapy
title_full A nomogram to predict the cancer‐specific survival of stage II–IV Epithelial ovarian cancer after bulking surgery and chemotherapy
title_fullStr A nomogram to predict the cancer‐specific survival of stage II–IV Epithelial ovarian cancer after bulking surgery and chemotherapy
title_full_unstemmed A nomogram to predict the cancer‐specific survival of stage II–IV Epithelial ovarian cancer after bulking surgery and chemotherapy
title_short A nomogram to predict the cancer‐specific survival of stage II–IV Epithelial ovarian cancer after bulking surgery and chemotherapy
title_sort nomogram to predict the cancer‐specific survival of stage ii–iv epithelial ovarian cancer after bulking surgery and chemotherapy
topic Clinical Cancer Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8267121/
https://www.ncbi.nlm.nih.gov/pubmed/34057318
http://dx.doi.org/10.1002/cam4.3980
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