Geographic variation in malignant cardiac tumors and their outcomes: SEER database analysis
IntroductionPrimary malignant cardiac tumors (PMCTs) are rare. Geographical distribution has been demonstrated to affect cancer outcomes, making the reduction of geographical inequalities a major priority for cancer control agencies. Geographic survival disparities have not been reported previously...
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Frontiers Media S.A.
2023-01-01
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Online Access: | https://www.frontiersin.org/articles/10.3389/fonc.2023.1071770/full |
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author | Mohamed Rahouma Mohamed Rahouma Sherif Khairallah Sherif Khairallah Anas Dabsha Anas Dabsha Massimo Baudo Massimo Baudo Magdy M. El-Sayed Ahmed Magdy M. El-Sayed Ahmed Ivancarmine Gambardella Christopher Lau Yomna M. Esmail Abdelrahman Mohamed Leonard Girardi Mario Gaudino Roberto Lorusso Roberto Lorusso Stephanie L. Mick |
author_facet | Mohamed Rahouma Mohamed Rahouma Sherif Khairallah Sherif Khairallah Anas Dabsha Anas Dabsha Massimo Baudo Massimo Baudo Magdy M. El-Sayed Ahmed Magdy M. El-Sayed Ahmed Ivancarmine Gambardella Christopher Lau Yomna M. Esmail Abdelrahman Mohamed Leonard Girardi Mario Gaudino Roberto Lorusso Roberto Lorusso Stephanie L. Mick |
author_sort | Mohamed Rahouma |
collection | DOAJ |
description | IntroductionPrimary malignant cardiac tumors (PMCTs) are rare. Geographical distribution has been demonstrated to affect cancer outcomes, making the reduction of geographical inequalities a major priority for cancer control agencies. Geographic survival disparities have not been reported previously for PMCT and the aim of this study is to compare the prevalence and the long-term survival rate with respect to the geographic location of PMCTs using the Surveillance, Epidemiology, and End Results (SEER) research plus data 17 registries between 2000 and 2019.MethodsThe SEER database was queried to identify geographic variation among PMCTs. We classified the included states into 4 geographical regions (Midwest, Northeast, South and West regions) based on the U.S. Census Bureau-designated regions and divisions. Different demographic and clinical variables were analyzed and compared between the four groups. Kaplan Meier curves and Cox regression were used for survival assessment.ResultsA total of 563 patients were included in our analysis. The median age was 53 years (inter-quartile range (IQR): 38 - 68 years) and included 26, 90, 101, and 346 patients from the Midwest, Northeast, South, and West regions respectively. Sarcoma represented 65.6% of the cases, followed by hematological tumors (26.2%), while mesothelioma accounted for 2.1%. Treatment analysis showed no significant differences between different regions. Median overall survival was 11, 21, 13, and 11 months for Midwest, Northeast, South and West regions respectively and 5-year overall survival was 22.2%, 25.4%, 14.9%, and 17.6% respectively. On multivariate Cox regression, significant independent predictors of late overall mortality among the entire cohort included age (Hazard Ratio [HR] 1.028), year of diagnosis (HR 0.967), sarcoma (HR 3.36), surgery (HR 0.63) and chemotherapy (HR 0.56).ConclusionPrimary malignant cardiac tumors are rare and associated with poor prognosis. Sarcoma is the most common pathological type. Younger age, recent era diagnosis, surgical resection, and chemotherapy were the independent predictors of better survival. While univariate analysis revealed that patients in the South areas had a worse survival trend compared to other areas, geographic disparity in survival was nullified in multivariate analysis. |
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spelling | doaj.art-76cf89735ed8438a9999353517b09e302023-01-24T07:43:01ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2023-01-011310.3389/fonc.2023.10717701071770Geographic variation in malignant cardiac tumors and their outcomes: SEER database analysisMohamed Rahouma0Mohamed Rahouma1Sherif Khairallah2Sherif Khairallah3Anas Dabsha4Anas Dabsha5Massimo Baudo6Massimo Baudo7Magdy M. El-Sayed Ahmed8Magdy M. El-Sayed Ahmed9Ivancarmine Gambardella10Christopher Lau11Yomna M. Esmail12Abdelrahman Mohamed13Leonard Girardi14Mario Gaudino15Roberto Lorusso16Roberto Lorusso17Stephanie L. Mick18Cardiothoracic Surgery Departments, Weill Cornell Medicine, New York, NY, United StatesSurgical Oncology Department, National Cancer Institute, Cairo University, Cairo, EgyptCardiothoracic Surgery Departments, Weill Cornell Medicine, New York, NY, United StatesSurgical Oncology Department, National Cancer Institute, Cairo University, Cairo, EgyptCardiothoracic Surgery Departments, Weill Cornell Medicine, New York, NY, United StatesSurgical Oncology Department, National Cancer Institute, Cairo University, Cairo, EgyptCardiothoracic Surgery Departments, Weill Cornell Medicine, New York, NY, United StatesCardiac Surgery Department, Spedali Civili di Brescia, University of Brescia, Brescia, ItalyCardiothoracic Surgery Department, Mayo Clinic, Jacksonville, FL, United StatesDepartment of Surgery, Zagazig University Faculty of Medicine, Zagazig, EgyptCardiothoracic Surgery Departments, Weill Cornell Medicine, New York, NY, United StatesCardiothoracic Surgery Departments, Weill Cornell Medicine, New York, NY, United StatesCardiothoracic Surgery Departments, Weill Cornell Medicine, New York, NY, United StatesSurgical Oncology Department, National Cancer Institute, Cairo University, Cairo, EgyptCardiothoracic Surgery Departments, Weill Cornell Medicine, New York, NY, United StatesCardiothoracic Surgery Departments, Weill Cornell Medicine, New York, NY, United StatesDepartment of Cardio-Thoracic Surgery, Maastricht University Medical Centre, Maastricht University, Maastricht, NetherlandsCardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, NetherlandsCardiothoracic Surgery Departments, Weill Cornell Medicine, New York, NY, United StatesIntroductionPrimary malignant cardiac tumors (PMCTs) are rare. Geographical distribution has been demonstrated to affect cancer outcomes, making the reduction of geographical inequalities a major priority for cancer control agencies. Geographic survival disparities have not been reported previously for PMCT and the aim of this study is to compare the prevalence and the long-term survival rate with respect to the geographic location of PMCTs using the Surveillance, Epidemiology, and End Results (SEER) research plus data 17 registries between 2000 and 2019.MethodsThe SEER database was queried to identify geographic variation among PMCTs. We classified the included states into 4 geographical regions (Midwest, Northeast, South and West regions) based on the U.S. Census Bureau-designated regions and divisions. Different demographic and clinical variables were analyzed and compared between the four groups. Kaplan Meier curves and Cox regression were used for survival assessment.ResultsA total of 563 patients were included in our analysis. The median age was 53 years (inter-quartile range (IQR): 38 - 68 years) and included 26, 90, 101, and 346 patients from the Midwest, Northeast, South, and West regions respectively. Sarcoma represented 65.6% of the cases, followed by hematological tumors (26.2%), while mesothelioma accounted for 2.1%. Treatment analysis showed no significant differences between different regions. Median overall survival was 11, 21, 13, and 11 months for Midwest, Northeast, South and West regions respectively and 5-year overall survival was 22.2%, 25.4%, 14.9%, and 17.6% respectively. On multivariate Cox regression, significant independent predictors of late overall mortality among the entire cohort included age (Hazard Ratio [HR] 1.028), year of diagnosis (HR 0.967), sarcoma (HR 3.36), surgery (HR 0.63) and chemotherapy (HR 0.56).ConclusionPrimary malignant cardiac tumors are rare and associated with poor prognosis. Sarcoma is the most common pathological type. Younger age, recent era diagnosis, surgical resection, and chemotherapy were the independent predictors of better survival. While univariate analysis revealed that patients in the South areas had a worse survival trend compared to other areas, geographic disparity in survival was nullified in multivariate analysis.https://www.frontiersin.org/articles/10.3389/fonc.2023.1071770/fullprimary malignant cardiac tumorsdatabase analysisgeographic variationcardiac surgeryoncology |
spellingShingle | Mohamed Rahouma Mohamed Rahouma Sherif Khairallah Sherif Khairallah Anas Dabsha Anas Dabsha Massimo Baudo Massimo Baudo Magdy M. El-Sayed Ahmed Magdy M. El-Sayed Ahmed Ivancarmine Gambardella Christopher Lau Yomna M. Esmail Abdelrahman Mohamed Leonard Girardi Mario Gaudino Roberto Lorusso Roberto Lorusso Stephanie L. Mick Geographic variation in malignant cardiac tumors and their outcomes: SEER database analysis Frontiers in Oncology primary malignant cardiac tumors database analysis geographic variation cardiac surgery oncology |
title | Geographic variation in malignant cardiac tumors and their outcomes: SEER database analysis |
title_full | Geographic variation in malignant cardiac tumors and their outcomes: SEER database analysis |
title_fullStr | Geographic variation in malignant cardiac tumors and their outcomes: SEER database analysis |
title_full_unstemmed | Geographic variation in malignant cardiac tumors and their outcomes: SEER database analysis |
title_short | Geographic variation in malignant cardiac tumors and their outcomes: SEER database analysis |
title_sort | geographic variation in malignant cardiac tumors and their outcomes seer database analysis |
topic | primary malignant cardiac tumors database analysis geographic variation cardiac surgery oncology |
url | https://www.frontiersin.org/articles/10.3389/fonc.2023.1071770/full |
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