| Literature DB >> 31496629 |
Akwi W Asombang1, Nathaniel Chishinga2, Alick Nkhoma3, Jackson Chipaila4, Bright Nsokolo5, Martha Manda-Mapalo6, Joao Filipe G Montiero7, Lewis Banda8, Kulwinder S Dua9.
Abstract
BACKGROUND: Esophageal cancer (EC) is associated with a poor prognosis, particularly so in Africa where an alarmingly high mortality to incidence ratio prevails for this disease. AIM: To provide further understanding of EC in the context of the unique cultural and genetic diversity, and socio-economic challenges faced on the African continent.Entities:
Keywords: Cancer in Africa; Esophageal cancer in Africa; Esophageal squamous cell carcinoma; Systematic review
Mesh:
Year: 2019 PMID: 31496629 PMCID: PMC6710188 DOI: 10.3748/wjg.v25.i31.4512
Source DB: PubMed Journal: World J Gastroenterol ISSN: 1007-9327 Impact factor: 5.742
Age-standardized incidence rates of esophageal cancer (ICD-O-3 C.15) in selected African countries[18]
| Algeria, Setif (2008-2011) | 0.6 | 0.7 |
| Algeria, Batna (2008-2012) | 0.5 | 0.5 |
| Benin, Cotonou (2013-2015) | 6.9 | 3.6 |
| Botswana (2005-2008) | 11.4 | 3.9 |
| Congo, Brazzaville (2009-2013) | 0.5 | 0.1 |
| Côte d´Ivoire, Abidjan (2012-2013) | 0.2 | 0.3 |
| Ethiopia, Addis Ababa (2012-2013) | 2.2 | 3.8 |
| The Gambia (2007-2011) | 1.0 | 0.5 |
| Guinea, Conakry (2001-2010) | 0.8 | 0.1 |
| Kenya, Eldoret (2008-2011) | 28.7 | 17.1 |
| Kenya, Nairobi (2007-2011) | 14.1 | 14.0 |
| Malawi, Blantyre (2009-2010) | 30.3 | 19.4 |
| Mali, Bamako (2010-2014) | 2.6 | 2.7 |
| Mauritius (2010-2012) | 3.2 | 1.0 |
| Mozambique, Beira (2009-2013) | 5.5 | 3.3 |
| Niger, Niamey (2006-2009) | 1.2 | 0.2 |
| Nigeria, Abuja (2013) | 0.7 | 0.0 |
| Nigeria, Calabar (2009-2013) | 0.0 | 0.0 |
| Nigeria, Ibadan (2006-2009) | 1.0 | 0.4 |
| Namibia (2009) | 2.4 | 0.1 |
| Seychelles (2009-2012) | 7.5 | 1.9 |
| South Africa, Eastern Cape (2008-2012) | 23.8 | 14.6 |
| South Africa: National Cancer Registry of South Africa (2007) | 6.2 | 3.1 |
| Uganda, Kampala (2008-2012) | 22.9 | 12.1 |
| Zimbabwe, Bulawayo: Black population (2011-2013) | 23.8 | 10.3 |
| Zimbabwe, Harare: Black population (2010-2012) | 16.4 | 13.1 |
Figure 1Forest plot displaying the inverse-variance weighted fixed-effect meta-analysis of the age-standardized incidence rate ratio for oesophageal cancer in males vs females by region in 18 urban populations in Africa, 2009-2013. IRR: Incidence rate ratio; CI: Confidence interval.
Figure 2Age-specific incidence rates for esophageal cancer among males and females in Africa, 2009-2013[18].
Figure 3Age-standardized incidence trends for esophageal cancer by calendar year and gender in Africa, 1993-2013[17].
Figure 4Age-standardized incidence rates for males and females by country in Africa, 2009-2013[18].
Figure 5Estimated age-standardized mortality and incidence rates for both males and females from selected African countries, 2018. Data Source: International Agency for Research on Cancer[21].
Figure 6Flow diagram for literature review.
Summary of studies from systematic review
| Total number of studies per country | 13 | 8 | 4 | 3 | 3 | 3 | 3 | 2 | 2 | 1 | 1 | 1 | 1 | – | – | 1 |
| Number of studies in cities/provinces | 8 | 5 | 3 | 3 | 3 | 3 | 3 | 2 | 2 | 1 | 1 | 1 | 1 | 1 | ||
| Total number of studies per country | 18 | 5 | 3 | 2 | 1 | – | 1 | 1 | 2 | 1 | – | – | – | 2 | 1 | – |
| Number of studies on tobacco consumption | 10 | 3 | 2 | 2 | 2 | – | – | 1 | 2 | – | – | – | – | 1 | 1 | – |
| Number of studies on alcohol consumption | 5 | 1 | 1 | 1 | – | – | – | – | – | – | – | – | – | – | 1 | – |
| Total number of studies per country | 18 | 3 | – | – | 1 | 2 | 1 | – | – | 7 | – | – | – | – | 1 | 1 |
| Number of studies that report on chemotherapy | 5 | – | – | – | – | – | – | – | – | – | – | – | – | – | – | – |
| Number of studies that report on radiotherapy | 3 | – | – | – | – | – | – | – | – | – | – | – | – | – | – | 1 |
| Number of studies that report on chemoradiotherapy | 4 | – | – | – | – | – | – | – | – | 1 | – | – | – | – | – | – |
SA: South Africa; Ken: Kenya; Uga: Uganda; Zim: Zimbabwe; Mal: Malawi; Sud: Sudan; Nig: Nigeria; Tan: Tanzania; Zam: Zambia; Egy: Egypt; Moz: Mozambique; Sen: Senegal; Bot: Botswana; Gha: Ghana; Eth: Ethiopia; Multi: Multi-country.
Quality of the 12 case control studies included in the meta-analyses of risk factors for esophageal cancer
| Representativeness of sampling procedures used in each study | Non-probability | 12 | 100.0 |
| Probability | 0 | ||
| Response rate | Above 80% | 10 | 83.3 |
| Between 60% and 80% | 2 | ||
| Not reported | 0 | ||
| Validity of measurement methods for risk factors | Face to face interview | 12 | 100.0 |
| Self-administered questionnaire | |||
| Bias in the measurement of the esophageal cancer | Histology | 10 | 83.3 |
| Endoscopy | 1 | ||
| Not reported | 1 | ||
| Control for important confounders | Yes | 11 | 91.7 |
| Not reported | 1 | ||
| Final score (mean across the items) | 91.7 |
Figure 7Forest plot displaying the inverse-variance weighted fixed-effect meta-analysis of risk factors for esophageal cancer in Africa.
Figure 8Shows the median post-treatment survival times in days for Stent, chemotherapy, radiotherapy, chemo-radiation and respective treatment of esophageal cancer in Africa.