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Spatial distribution of breast cancer in Sudan 2010-2016
BACKGROUND: Breast cancer is the most prevalent cancer among females worldwide including Sudan. The aim of this study was to determine the spatial distribution of breast cancer in Sudan. MATERIALS AND METHODS: A facility based cross-sectional study was implemented in eighteen histopathology laborato...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6746353/ https://www.ncbi.nlm.nih.gov/pubmed/31525202 http://dx.doi.org/10.1371/journal.pone.0211085 |
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author | Elbasheer, Marwa Maweya Abdelbagi Alkhidir, Ayah Galal Abdelrahman Mohammed, Siham Mohammed Awad Abbas, Areej Abuelgasim Hassan Mohamed, Aisha Osman Bereir, Isra Mahgoub Abdalazeez, Hiba Reyad Noma, Mounkaila |
author_facet | Elbasheer, Marwa Maweya Abdelbagi Alkhidir, Ayah Galal Abdelrahman Mohammed, Siham Mohammed Awad Abbas, Areej Abuelgasim Hassan Mohamed, Aisha Osman Bereir, Isra Mahgoub Abdalazeez, Hiba Reyad Noma, Mounkaila |
author_sort | Elbasheer, Marwa Maweya Abdelbagi |
collection | PubMed |
description | BACKGROUND: Breast cancer is the most prevalent cancer among females worldwide including Sudan. The aim of this study was to determine the spatial distribution of breast cancer in Sudan. MATERIALS AND METHODS: A facility based cross-sectional study was implemented in eighteen histopathology laboratories distributed in the three localities of Khartoum State on a sample of 4630 Breast Cancer cases diagnosed during the period 2010–2016. A master database was developed through Epi Info(TM) 7.1.5.2 for computerizing the data collected: the facility name, type (public or private), and its geo-location (latitude and longitude). Personal data on patients were extracted from their respective medical records (name, age, marital status, ethnic group, state, locality, administrative unit, permanent address and phone number, histopathology diagnosis). The data was summarized through SPSS to generate frequency tables for estimating prevalence and the geographical information system (ArcGIS 10.3) was used to generate the epidemiological distribution maps. ArcGIS 10.3 spatial analysis features were used to develop risk maps based on the kriging method. RESULTS: Breast cancer prevalence was 3.9 cases per 100,000 female populations. Of the 4423 cases of breast cancer, invasive breast carcinoma of no special type (NST) was the most frequent (79.5%, 3517/4423) histopathological diagnosis. The spatial analysis indicated as high risk areas for breast cancer in Sudan the States of Nile River, Northern, Red Sea, White Nile, Northern and Southern Kordofan. CONCLUSIONS: The attempt to develop a predictive map of breast cancer in Sudan revealed three levels of risk areas (risk, intermediate and high risk areas); regardless the risk level, appropriate preventive and curative health interventions with full support from decision makers are urgently needed. |
format | Online Article Text |
id | pubmed-6746353 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-67463532019-09-27 Spatial distribution of breast cancer in Sudan 2010-2016 Elbasheer, Marwa Maweya Abdelbagi Alkhidir, Ayah Galal Abdelrahman Mohammed, Siham Mohammed Awad Abbas, Areej Abuelgasim Hassan Mohamed, Aisha Osman Bereir, Isra Mahgoub Abdalazeez, Hiba Reyad Noma, Mounkaila PLoS One Research Article BACKGROUND: Breast cancer is the most prevalent cancer among females worldwide including Sudan. The aim of this study was to determine the spatial distribution of breast cancer in Sudan. MATERIALS AND METHODS: A facility based cross-sectional study was implemented in eighteen histopathology laboratories distributed in the three localities of Khartoum State on a sample of 4630 Breast Cancer cases diagnosed during the period 2010–2016. A master database was developed through Epi Info(TM) 7.1.5.2 for computerizing the data collected: the facility name, type (public or private), and its geo-location (latitude and longitude). Personal data on patients were extracted from their respective medical records (name, age, marital status, ethnic group, state, locality, administrative unit, permanent address and phone number, histopathology diagnosis). The data was summarized through SPSS to generate frequency tables for estimating prevalence and the geographical information system (ArcGIS 10.3) was used to generate the epidemiological distribution maps. ArcGIS 10.3 spatial analysis features were used to develop risk maps based on the kriging method. RESULTS: Breast cancer prevalence was 3.9 cases per 100,000 female populations. Of the 4423 cases of breast cancer, invasive breast carcinoma of no special type (NST) was the most frequent (79.5%, 3517/4423) histopathological diagnosis. The spatial analysis indicated as high risk areas for breast cancer in Sudan the States of Nile River, Northern, Red Sea, White Nile, Northern and Southern Kordofan. CONCLUSIONS: The attempt to develop a predictive map of breast cancer in Sudan revealed three levels of risk areas (risk, intermediate and high risk areas); regardless the risk level, appropriate preventive and curative health interventions with full support from decision makers are urgently needed. Public Library of Science 2019-09-16 /pmc/articles/PMC6746353/ /pubmed/31525202 http://dx.doi.org/10.1371/journal.pone.0211085 Text en © 2019 Elbasheer et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Elbasheer, Marwa Maweya Abdelbagi Alkhidir, Ayah Galal Abdelrahman Mohammed, Siham Mohammed Awad Abbas, Areej Abuelgasim Hassan Mohamed, Aisha Osman Bereir, Isra Mahgoub Abdalazeez, Hiba Reyad Noma, Mounkaila Spatial distribution of breast cancer in Sudan 2010-2016 |
title | Spatial distribution of breast cancer in Sudan 2010-2016 |
title_full | Spatial distribution of breast cancer in Sudan 2010-2016 |
title_fullStr | Spatial distribution of breast cancer in Sudan 2010-2016 |
title_full_unstemmed | Spatial distribution of breast cancer in Sudan 2010-2016 |
title_short | Spatial distribution of breast cancer in Sudan 2010-2016 |
title_sort | spatial distribution of breast cancer in sudan 2010-2016 |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6746353/ https://www.ncbi.nlm.nih.gov/pubmed/31525202 http://dx.doi.org/10.1371/journal.pone.0211085 |
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