Validation of Online Prognostication Model that Predicts Survival for Women with Early Breast Cancer in Egypt

Introduction: Breast Cancer is estimated to be the most common female cancer in Egypt. The decision on adjuvant therapy in early breast cancer is complex and requires many considerations. PREDICT is an online prognostication tool for early breast cancer. It was first revealed in 2011 and it has been...

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Main Authors: Gehan A. Khedr, Sarah Salah, Nadia A Abd El Moneim, Nashaat S Lotfy
Format: Article
Language:English
Published: West Asia Organization for Cancer Prevention 2020-12-01
Series:Asian Pacific Journal of Cancer Care
Subjects:
Online Access:http://www.waocp.com/journal/index.php/apjcc/article/view/480
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author Gehan A. Khedr
Sarah Salah
Nadia A Abd El Moneim
Nashaat S Lotfy
author_facet Gehan A. Khedr
Sarah Salah
Nadia A Abd El Moneim
Nashaat S Lotfy
author_sort Gehan A. Khedr
collection DOAJ
description Introduction: Breast Cancer is estimated to be the most common female cancer in Egypt. The decision on adjuvant therapy in early breast cancer is complex and requires many considerations. PREDICT is an online prognostication tool for early breast cancer. It was first revealed in 2011 and it has been widely used. This study aimed to illustrate the applicability of this model on Egyptian patients. Methods: This study included 128 female patients treated for early breast cancer with surgery and adjuvant therapy in Alexandria, Egypt in 2005 to validate the efficacy of PREDICT as an online prognostication model to estimate survival in those patients. Patients’ data were obtained from the archives of the Department of Clinical Oncology, Faculty of Medicine, and the Department of Cancer Management and Research, Medical Research Institute, University of Alexandria, Egypt. Patients’ data were manually entered into the prognostication model and the predicted survival results obtained were compared to the actual survival of study patients. Results: The predicted number of survivors after 5 years in the entire cohort was 125 (97.7%) compared to 123 (96.1%) actual survivors. The difference was 1.6% which was not significant (p= 0.625). The predicted number of survivors after 10 years in the entire cohort was 77 (60.2%) compared to 81 (63.3%) actual survivors. The difference was -3.1% which was not significant (p= 0.671). Conclusion: PREDICT accurately predicts 5-year and 10-year OS in the entire study population. This validates the use of this online model to aid in the decision as regard systemic therapy.
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spelling doaj.art-e399cbf7870d4d35b439ffd566a5c70e2024-01-26T16:04:30ZengWest Asia Organization for Cancer PreventionAsian Pacific Journal of Cancer Care2588-36822020-12-015427327910.31557/apjcc.2020.5.4.273-279480Validation of Online Prognostication Model that Predicts Survival for Women with Early Breast Cancer in EgyptGehan A. Khedr0Sarah Salah1Nadia A Abd El Moneim2Nashaat S Lotfy3Clinical Oncology Department, Faculty of Medicine, Alexandria UniversityMedical Research Institute, University of Alexandria, EgyptMedical Research Institute, University of Alexandria, EgyptFaculty of Medicine, University of Alexandria, EgyptIntroduction: Breast Cancer is estimated to be the most common female cancer in Egypt. The decision on adjuvant therapy in early breast cancer is complex and requires many considerations. PREDICT is an online prognostication tool for early breast cancer. It was first revealed in 2011 and it has been widely used. This study aimed to illustrate the applicability of this model on Egyptian patients. Methods: This study included 128 female patients treated for early breast cancer with surgery and adjuvant therapy in Alexandria, Egypt in 2005 to validate the efficacy of PREDICT as an online prognostication model to estimate survival in those patients. Patients’ data were obtained from the archives of the Department of Clinical Oncology, Faculty of Medicine, and the Department of Cancer Management and Research, Medical Research Institute, University of Alexandria, Egypt. Patients’ data were manually entered into the prognostication model and the predicted survival results obtained were compared to the actual survival of study patients. Results: The predicted number of survivors after 5 years in the entire cohort was 125 (97.7%) compared to 123 (96.1%) actual survivors. The difference was 1.6% which was not significant (p= 0.625). The predicted number of survivors after 10 years in the entire cohort was 77 (60.2%) compared to 81 (63.3%) actual survivors. The difference was -3.1% which was not significant (p= 0.671). Conclusion: PREDICT accurately predicts 5-year and 10-year OS in the entire study population. This validates the use of this online model to aid in the decision as regard systemic therapy.http://www.waocp.com/journal/index.php/apjcc/article/view/480breast cancer, predict, prognostication, survival
spellingShingle Gehan A. Khedr
Sarah Salah
Nadia A Abd El Moneim
Nashaat S Lotfy
Validation of Online Prognostication Model that Predicts Survival for Women with Early Breast Cancer in Egypt
Asian Pacific Journal of Cancer Care
breast cancer, predict, prognostication, survival
title Validation of Online Prognostication Model that Predicts Survival for Women with Early Breast Cancer in Egypt
title_full Validation of Online Prognostication Model that Predicts Survival for Women with Early Breast Cancer in Egypt
title_fullStr Validation of Online Prognostication Model that Predicts Survival for Women with Early Breast Cancer in Egypt
title_full_unstemmed Validation of Online Prognostication Model that Predicts Survival for Women with Early Breast Cancer in Egypt
title_short Validation of Online Prognostication Model that Predicts Survival for Women with Early Breast Cancer in Egypt
title_sort validation of online prognostication model that predicts survival for women with early breast cancer in egypt
topic breast cancer, predict, prognostication, survival
url http://www.waocp.com/journal/index.php/apjcc/article/view/480
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