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Malignant tumours in urban Ghana: evidence from the city of Kumasi
BACKGROUND: Data from population-based cancer registries (PBCRs) are a useful resource for estimating the incidence of cancers. PBCR data is useful in the planning and implementation of cancer prevention and control strategies. Ghana’s plan for control of non-communicable diseases recognises the nee...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6434839/ https://www.ncbi.nlm.nih.gov/pubmed/30909876 http://dx.doi.org/10.1186/s12885-019-5480-0 |
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author | Amoako, Yaw Ampem Awuah, Baffour Larsen-Reindorf, Rita Awittor, Fred Kwame Kyem, Gloria Ofori-Boadu, Kwame Osei-Bonsu, Ernest Laryea, Dennis Odai |
author_facet | Amoako, Yaw Ampem Awuah, Baffour Larsen-Reindorf, Rita Awittor, Fred Kwame Kyem, Gloria Ofori-Boadu, Kwame Osei-Bonsu, Ernest Laryea, Dennis Odai |
author_sort | Amoako, Yaw Ampem |
collection | PubMed |
description | BACKGROUND: Data from population-based cancer registries (PBCRs) are a useful resource for estimating the incidence of cancers. PBCR data is useful in the planning and implementation of cancer prevention and control strategies. Ghana’s plan for control of non-communicable diseases recognises the need for good quality data to facilitate the attainment of set goals. METHODS: We reviewed data from the Kumasi Cancer Registry for the year 2015. Data collected included clinical and demographic information, laboratory reports and source of case information. Data was entered into the Canreg-5 software. Data was initially analysed using Canreg-5 to estimate the incidence and age standardised rates (ASR) for various tumours. Data was also exported to Microsoft Excel for further analysis using Epi Info version 7.1.4. Microsoft Excel was used to generate charts and graphs. Aggregated data for the years 2013 and 2014 were also analysed for trends in cancer incidence and ASR. RESULTS: A total of 736 cancer cases were recorded among the residents of Kumasi for the year 2015. Females accounted for 62.4% of all cases. The overall incidence of cancer in Kumasi for 2015 was 46.1 per 100,000. The mean age of all cases was 51.3 years (with a range of 1 to 99 years). The incidence among female residents was estimated at 54.1 per 100,000 compared with 37.1 per 100,000 in males. Among females, breast and cervical cancers recorded the highest incidences of 16.1 per 100,000 and 13.7 per 100,000 respectively. Among males, prostate cancer had the highest incidence of 10.5 per 100,000. Breast, cervical and liver cancers were the commonest in both sexes accounting for 19.7, 14.7 and 11.4% of cases respectively. CONCLUSION: There has been significant improvement in data quality and coverage since the inception of our PBCR in 2012. PBCRs are feasible; therefore there is the need for more such registries to improve data on cancers in Ghana. Consistent with other evidence, we found breast cancer as the commonest female cancer in Ghana. |
format | Online Article Text |
id | pubmed-6434839 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-64348392019-04-08 Malignant tumours in urban Ghana: evidence from the city of Kumasi Amoako, Yaw Ampem Awuah, Baffour Larsen-Reindorf, Rita Awittor, Fred Kwame Kyem, Gloria Ofori-Boadu, Kwame Osei-Bonsu, Ernest Laryea, Dennis Odai BMC Cancer Research Article BACKGROUND: Data from population-based cancer registries (PBCRs) are a useful resource for estimating the incidence of cancers. PBCR data is useful in the planning and implementation of cancer prevention and control strategies. Ghana’s plan for control of non-communicable diseases recognises the need for good quality data to facilitate the attainment of set goals. METHODS: We reviewed data from the Kumasi Cancer Registry for the year 2015. Data collected included clinical and demographic information, laboratory reports and source of case information. Data was entered into the Canreg-5 software. Data was initially analysed using Canreg-5 to estimate the incidence and age standardised rates (ASR) for various tumours. Data was also exported to Microsoft Excel for further analysis using Epi Info version 7.1.4. Microsoft Excel was used to generate charts and graphs. Aggregated data for the years 2013 and 2014 were also analysed for trends in cancer incidence and ASR. RESULTS: A total of 736 cancer cases were recorded among the residents of Kumasi for the year 2015. Females accounted for 62.4% of all cases. The overall incidence of cancer in Kumasi for 2015 was 46.1 per 100,000. The mean age of all cases was 51.3 years (with a range of 1 to 99 years). The incidence among female residents was estimated at 54.1 per 100,000 compared with 37.1 per 100,000 in males. Among females, breast and cervical cancers recorded the highest incidences of 16.1 per 100,000 and 13.7 per 100,000 respectively. Among males, prostate cancer had the highest incidence of 10.5 per 100,000. Breast, cervical and liver cancers were the commonest in both sexes accounting for 19.7, 14.7 and 11.4% of cases respectively. CONCLUSION: There has been significant improvement in data quality and coverage since the inception of our PBCR in 2012. PBCRs are feasible; therefore there is the need for more such registries to improve data on cancers in Ghana. Consistent with other evidence, we found breast cancer as the commonest female cancer in Ghana. BioMed Central 2019-03-25 /pmc/articles/PMC6434839/ /pubmed/30909876 http://dx.doi.org/10.1186/s12885-019-5480-0 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Amoako, Yaw Ampem Awuah, Baffour Larsen-Reindorf, Rita Awittor, Fred Kwame Kyem, Gloria Ofori-Boadu, Kwame Osei-Bonsu, Ernest Laryea, Dennis Odai Malignant tumours in urban Ghana: evidence from the city of Kumasi |
title | Malignant tumours in urban Ghana: evidence from the city of Kumasi |
title_full | Malignant tumours in urban Ghana: evidence from the city of Kumasi |
title_fullStr | Malignant tumours in urban Ghana: evidence from the city of Kumasi |
title_full_unstemmed | Malignant tumours in urban Ghana: evidence from the city of Kumasi |
title_short | Malignant tumours in urban Ghana: evidence from the city of Kumasi |
title_sort | malignant tumours in urban ghana: evidence from the city of kumasi |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6434839/ https://www.ncbi.nlm.nih.gov/pubmed/30909876 http://dx.doi.org/10.1186/s12885-019-5480-0 |
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