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Musekiwa A, Moyo M, Mohammed M, Matsena-Zingoni Z, Twabi HS, Batidzirai JM, Singini GC, Kgarosi K, Mchunu N, Nevhungoni P, Silinda P, Ekwomadu T, Maposa I. Mapping Evidence on the Burden of Breast, Cervical, and Prostate Cancers in Sub-Saharan Africa: A Scoping Review. Front Public Health 2022; 10:908302. [PMID: 35784211 PMCID: PMC9246362 DOI: 10.3389/fpubh.2022.908302] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Accepted: 05/24/2022] [Indexed: 11/13/2022] Open
Abstract
BackgroundCancer remains a major public health problem, especially in Sub-Saharan Africa (SSA) where the provision of health care is poor. This scoping review mapped evidence in the literature regarding the burden of cervical, breast and prostate cancers in SSA.MethodsWe conducted this scoping review using the Arksey and O'Malley framework, with five steps: identifying the research question; searching for relevant studies; selecting studies; charting the data; and collating, summarizing, and reporting the data. We performed all the steps independently and resolved disagreements through discussion. We used Endnote software to manage references and the Rayyan software to screen studies.ResultsWe found 138 studies that met our inclusion criteria from 2,751 studies identified through the electronic databases. The majority were retrospective studies of mostly registries and patient files (n = 77, 55.8%), followed by cross-sectional studies (n = 51, 36.9%). We included studies published from 1990 to 2021, with a sharp increase from 2010 to 2021. The quality of studies was overall satisfactory. Most studies were done in South Africa (n = 20) and Nigeria (n = 17). The majority were on cervical cancer (n = 93, 67.4%), followed by breast cancer (67, 48.6%) and the least were on prostate cancer (48, 34.8%). Concerning the burden of cancer, most reported prevalence and incidence. We also found a few studies investigating mortality, disability-adjusted life years (DALYs), and years of life lost (YLL).ConclusionsWe found many retrospective record review cross-sectional studies, mainly in South Africa and Nigeria, reporting the prevalence and incidence of cervical, breast and prostate cancer in SSA. There were a few systematic and scoping reviews. There is a scarcity of cervical, breast and prostate cancer burden studies in several SSA countries. The findings in this study can inform policy on improving the public health systems and therefore reduce cancer incidence and mortality in SSA.
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Affiliation(s)
- Alfred Musekiwa
- School of Health Systems and Public Health, Faculty of Health Sciences, University of Pretoria, Pretoria, South Africa
- *Correspondence: Alfred Musekiwa
| | - Maureen Moyo
- School of Health Systems and Public Health, Faculty of Health Sciences, University of Pretoria, Pretoria, South Africa
| | - Mohanad Mohammed
- School of Mathematics, Statistics, and Computer Science, University of KwaZulu-Natal, Pietermaritzburg, South Africa
| | - Zvifadzo Matsena-Zingoni
- Division of Epidemiology and Biostatistics, School of Public Health, University of the Witwatersrand, Johannesburg, South Africa
| | | | - Jesca Mercy Batidzirai
- School of Mathematics, Statistics, and Computer Science, University of KwaZulu-Natal, Pietermaritzburg, South Africa
| | | | - Kabelo Kgarosi
- School of Health Systems and Public Health, Faculty of Health Sciences, University of Pretoria, Pretoria, South Africa
| | - Nobuhle Mchunu
- School of Mathematics, Statistics, and Computer Science, University of KwaZulu-Natal, Pietermaritzburg, South Africa
- Biostatistics Unit, South African Medical Research Council, Durban, South Africa
| | - Portia Nevhungoni
- School of Mathematics, Statistics, and Computer Science, University of KwaZulu-Natal, Pietermaritzburg, South Africa
- Biostatistics Unit, South African Medical Research Council, Pretoria, South Africa
| | - Patricia Silinda
- School of Health Systems and Public Health, Faculty of Health Sciences, University of Pretoria, Pretoria, South Africa
| | - Theodora Ekwomadu
- Department of Biological Sciences, Faculty of Natural and Agricultural Sciences, North-West University, Mmabatho, South Africa
| | - Innocent Maposa
- Division of Epidemiology and Biostatistics, School of Public Health, University of the Witwatersrand, Johannesburg, South Africa
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Chatignoux E, Uhry Z, Grosclaude P, Colonna M, Remontet L. How to produce sound predictions of incidence at a district level using either health care or mortality data in the absence of a national registry: the example of cancer in France. Int J Epidemiol 2021; 50:279-292. [PMID: 33232469 DOI: 10.1093/ije/dyaa217] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/02/2020] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND In many countries, epidemiological surveillance of chronic diseases is monitored by local registries (LR) which do not necessarily cover the whole national territory. This gap has fostered interest in using non-registry databases (e.g., health care or mortality databases) available for the whole territory as proxies for incidence at the local level. However, direct counts from these databases do not provide reliable incidence measures. Accordingly, specific methods are needed to correct proxies and assess their epidemiological usefulness. METHODS This study's objective was to implement a three-stage turnkey methodology using national non-registry data to predict incidence in geographical areas without an LR as follows: constructing a calibration model to make predictions including accurate prediction intervals; accuracy assessment of predictions and rationale for the criteria to assess which predictions were epidemiologically useful; mapping after spatial smoothing of the latter predictions. The methodology was applied to a real-world setting, whereby we aimed to predict cancer incidence, by gender, at the district level in France over the 2007-15 period for 24 different cancer sites, using several health care indicators and mortality. In the present paper, the spatial smoothing performed on predicted incidence of epidemiological interest is illustrated for two examples. RESULTS Predicted incidence of epidemiological interest was possible for 27/34 solid site-gender combinations and for only 2/8 haematological malignancies-gender combinations. Mapping of smoothed predicted incidence provided a clear picture of the main contrasts in incidence between districts. CONCLUSIONS The methodology implemented provides a comprehensive framework to produce valuable predictions of incidence at a district level, using proxy measures and existing LR.
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Affiliation(s)
- Edouard Chatignoux
- Santé Publique France, French National Public Health Agency, Saint-Maurice, France
| | - Zoé Uhry
- Santé Publique France, French National Public Health Agency, Saint-Maurice, France.,Hospices Civils de Lyon, Service de Biostatistique-Bioinformatique, Pierre-Bénite, Université Lyon 1, France
| | - Pascale Grosclaude
- FRANCIM Network, Toulouse, France.,Tarn Cancer Registry, Claudius Regaud Institute, IUCT-O, Toulouse, France
| | - Marc Colonna
- FRANCIM Network, Toulouse, France.,Isere Cancer Registry, CHU Grenoble-Alpes, Grenoble, France
| | - Laurent Remontet
- Hospices Civils de Lyon, Service de Biostatistique-Bioinformatique, Pierre-Bénite, Université Lyon 1, France.,CNRS; UMR 5558, Laboratoire de Biométrie et Biologie Evolutive, Villeurbanne, France
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Acheampong E, Adu EA, Obirikorang C, Amoah G, Afriyie OO, Yorke J, Anto EO, Gyamfi MA, Acheampong EN, Gyasi-Sarpong CK, Yeboah FA. Association of genetic variants with prostate cancer in Africa: a concise review. EGYPTIAN JOURNAL OF MEDICAL HUMAN GENETICS 2021. [DOI: 10.1186/s43042-021-00157-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022] Open
Abstract
Abstract
Background
Prostate cancer (PCa) has one of the highest heritability of all major cancers, where the genetic contribution has been documented, and knowledge about the molecular genetics of the disease is increasing. However, the extent and aspects to which genetic variants explain PCa heritability in Africa are limited.
Main body
In this review, we summarize studies that highlight how identified genetic variants explain differences in PCa incidence and presentation across ethnic groups. We also present the knowledge gaps in PCa genetics in Africa and why Africa represents an untapped potential ground for genetic studies on PCa. A significant number of genome-wide association studies, linkage, and fine-mapping analyses have been conducted globally, and that explains 30–33% of PCa heritability. The African ancestry has a significant mention in PCa incidence and presentation. To date, the candidate gene approach has replicated 23 polymorphisms including dinucleotide and trinucleotide repeats in 16 genes. CYP17-rs743572, CYP3A4-rs2740574, CYP3A5-rs776746, CYP3A43-rs501275, and haplotype blocks, containing these variants, are significantly associated with PCa among some population groups but not others. With the few existing studies, the extent of genetic diversity in Africa suggests that genetic associations of PCa to African ancestry go beyond nucleotide sequence polymorphisms, to a level of environmental adaptation, which may interpret genetic risk profiles. Also, the shreds of evidence suggest that evolutionary history contributes to the high rates of PCa relative to African ancestry, and genetic associations do not always replicate across populations.
Conclusion
The genetic architecture of PCa in Africa provides important contributions to the global understanding of PCa specifically the African-ancestry hypothesis. There is a need for more prostate cancer consortiums to justify the heritable certainties of PCa among Africans, and emphasis should be placed on the genetic epidemiological model of PCa in Africa.
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