Spatial distribution of breast cancer in Sudan 2010-2016

English version

Autoři: Marwa Maweya Abdelbagi Elbasheer ^aff001; Ayah Galal Abdelrahman Alkhidir ^aff002; Siham Mohammed Awad Mohammed ^aff003; Areej Abuelgasim Hassan Abbas ^aff004; Aisha Osman Mohamed ^aff001; Isra Mahgoub Bereir ^aff002; Hiba Reyad Abdalazeez ^aff005; Mounkaila Noma ^aff006
Působiště autorů: Department of Histopathology & Cytology, Faculty of Medical Laboratory Sciences, Alzaiem Alazhari University, Khartoum, Sudan ^aff001; Sudanese Medical Council, Khartoum, Sudan ^aff002; Zanam Specialist Hospital, Khartoum, Sudan ^aff003; Sudanese Medical Specialization Board, Khartoum, Sudan ^aff004; Sudanese National Council for Medical & Health Professions, Khartoum, Sudan ^aff005; University of Medical Sciences and Technology, Khartoum, Sudan ^aff006
Vyšlo v časopise: PLoS ONE 14(9)
Kategorie: Research Article
prolekare.web.journal.doi_sk: https://doi.org/10.1371/journal.pone.0211085

Souhrn

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.

Klíčová slova:

Biology and life sciences – People and places – Computer and information sciences – Population biology – Population dynamics – Geographic distribution – Geographical locations – Medicine and health sciences – Pathology and laboratory medicine – Diagnostic medicine – Africa – Oncology – Cancers and neoplasms – Cancer detection and diagnosis – Earth sciences – Geography – Geoinformatics – Marine and aquatic sciences – Bodies of water – Red Sea – Epidemiology – Anatomical pathology – Histopathology – Geographic information systems – Breast tumors – Breast cancer – Cancer epidemiology – Sudan

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