Literature DB >> 31719840

A hospital-based cancer registry in Luanda, Angola: the Instituto Angolano de Controlo do Cancer (IACC) Cancer registry.

Fernando Miguel1, Maria José Bento2,3, Gonçalo Forjaz de Lacerda4, Elisabete Weiderpass5, Lúcio Lara Santos6,7.   

Abstract

BACKGROUND: The Instituto Angolano de Controlo do Cancer (IACC) Cancer Registry in Luanda, Angola is the most ancient and organized hospital-based cancer registry in Angola and provides data on cancer cases treated in several hospital facilities in Luanda.
METHODS: Newly-diagnosed cancer cases (2012-2016) of IACC were collected. A total of 6638 malignant neoplasms were recorded. After excluding duplicates, missing data and non-melanoma skin cancers cases, a final number of 5609 cancer cases was considered valid for analysis.
RESULTS: From 5609 new cases, 2059 were males and 3550 females. Of all cases, 9.7% was in children below the age of 15 years. Most of the cases were residents from the Luanda district. The five most common cancers for all periods were breast (21.4%), cervix (16.8%), prostate (7.1%), non-Hodgkin lymphoma (4.5%) and Kaposi sarcoma (4.3%). For men, 19.3% of the cancers were prostate, 7.5% Kaposi sarcoma and 7.5% non-Hodgkin lymphoma. Cancers of the breast and cervix together accounted 60% of all cancers in females. Comparison of our data onto the 5 most frequent tumours, by sex, according to GLOBOCAN 2018 estimations for Angola, highlights the potential deviation from reality that estimates may have and reinforces the urgent need to build a truly population-based cancer registry in Luanda.
CONCLUSION: To accomplish that task, it is mandatory to implement a more rigorous quality control program at the hospital-based cancer registry at IACC and to optimize the network of health institutions that actively working on and contributing to the cancer registry, in Luanda.
© The Author(s). 2019.

Entities:  

Keywords:  Angola; Cancer registry; Luanda

Year:  2019        PMID: 31719840      PMCID: PMC6839121          DOI: 10.1186/s13027-019-0249-2

Source DB:  PubMed          Journal:  Infect Agent Cancer        ISSN: 1750-9378            Impact factor:   2.965


Introduction

In Africa, infectious diseases are still a common and an important public health challenge; however, these disease patterns are changing, with a significant increase in the incidence rates of chronic diseases such as diabetes, hypertension, and cancer. Increased life expectancies and changing lifestyles, in addition to the high prevalence of specific infections are important contributing factors to the increased cancer burden [1]. Cancer registries are an important public health surveillance tool by providing a census of cancer cases and are a major source of critical information for the planning of cancer control measures such as prevention, early detection, treatment and care [2]. A February 2016 workshop held in Brazzaville, Republic of the Congo was co-organized by the International Atomic Energy Agency (IAEA), the World Health Organization’s Regional Office for Africa (WHO-AFRO), the International Agency for Research on Cancer (IARC), the African Cancer Registry Network (AFCRN) and experts of Republic of the Congo-Brazzaville and concluded that “collecting patients’ data in a comprehensive national registry is key to improve and effect cancer care in Africa” [3]. Unfortunately, most African countries, including Angola, do not have a population-based cancer registry [4], which limits the planning of tailored national and/or regional anti-cancer policies and calculation of cancer incidence and mortality rates and other important measures. In fact, for Angola cancer incidence and mortality rates were estimated by GLOBOCAN based on data from neighbouring countries [5] and not from Angola itself. In June 2012, an integrated mission of IAEA’s Programme of Action for Cancer Therapy (imPACT) to the Republic of Angola recommended to the Ministry of Health of Angola (MOH) that cancer registration in the country be improved, which included training staff in cancer registration methods. The Instituto Angolano de Controlo do Cancer (IACC) in Luanda (formerly the National Oncology Centre), is the oldest public centre for the treatment of cancer patients in Angola and hosts a hospital-based cancer registry. In 2015, Armando A et al. published the most common cancers in the IACC registry from 2007 to 2011, namely cervix cancer, breast and prostate cancer [6]. As the majority of cancer cases in Angola are treated in this facility, the IACC’s registry holds the potential to provide an estimate of the epidemiological profile of cancer in the Angolan population. Acknowledging this potential, in 2014 AFCRN experts recommended consolidating the existing IACC cancer registry and transforming it into a population-based cancer registry for the region of Luanda. Luanda is the largest city in Angola with 5,531,546 inhabitants in 2015 [7]. (Fig. 1).
Fig. 1

Luanda city population pyramid estimated for 2015. NIS – National Institute of Statistics

Luanda city population pyramid estimated for 2015. NIS – National Institute of Statistics The present study aims to describe the structure of the IACC’s hospital-based cancer registry (HBCR) including its challenges with data collection, reporting, and analysis in addition to providing an overview of the most frequent tumours, by age and gender in the registry. The potential for the registry to be used for estimating population-level cancer incidence rates for Angola and to propose priorities for activities to transform the IACC hospital-based cancer registry into a population-based cancer registry for Luanda are also discussed.

Methods

Data sources for the registry

The IACC hospital-based cancer registry provides the majority of the specialized cancer management services in Angola. The HBCR/IACC record for each cancer patient the following data: first name and surname, date of birth or approximate age, identification number, gender, marital status, ethnic origin, current residential address, place of birth, date of cancer diagnosis, histology/cytology number, tumour site and histology type, clinical stage of disease, basis of diagnosis, treatment given, vital status, and date and cause of death. The registry employs passive methods of case finding and receives information from two semi-private institutions in Luanda, Clínica Sagrada Esperança and Clínica Girassol, which are involved in the management of cancer patients [6]. The HBCR/IACC also receives notifications from the Américo Boavida Hospital, Josina Machel Hospital, Lucrécia Paim Maternity Hospital, and David Bernardino Pediatric Hospital on a voluntary basis, as well as, information about cancer patients referred by the Health Minister for treatment abroad. The primary data sources are the inpatient wards and oncology outpatient clinics of IACC. Additionally, records of specific cancer research studies are included. Information from the other public hospitals in Luanda, (Prenda Hospital, Central Military Hospital, Augusto Ngangula Maternity) is only included in the registry when the patient is transferred to the IACC for eventual treatment or multidisciplinary team discussion. Currently, there is no active case finding and minimal follow-up of cases performed by HBCR/IACC.

Quality of the data

In Angola, the diagnosis of primary tumours is mainly obtained with the support of histology and cytology data, but clinical diagnoses reported by hospitals are also included. Death certificates are used less frequently as they are considered to be of poor quality.

Data collection and storage

Each case report form is coded and entered into a Microsoft Excel spreadsheet created for the HBCR/IACC. Since 2014, the HBCR began using IARC’s CanReg5 to store, check, and validate the records. Each case receives a unique cancer registry identification number and the tumour site and morphology are coded according to the third edition of the International Classification of Diseases for Oncology [8, 9].

Data analysis

We performed a descriptive analysis of the IACC HBCR data for the time period 2012–2016. Cases with missing or incomplete data were excluded from the analysis. In addition, this analysis included an evaluation of data consistency according to AFCRN recommendationsand results are provided in numbers and proportions [8]. Age-standardized (ASR) incidence rates for the Luanda region expressed per 100,000 person-years, considering only the cases diagnosed in Luanda, were computed by the direct method using the World Health Organization’s standard population as the reference [10]. All hypothesis tests were two-sided, and P values < 0.05 were considered statistically significant. Statistical analyses were performed using SPSS version 21 (New York, NY).

Results

Analysis of new reported cancer cases and method of diagnosis

From 2012 to 2016, 6638 new cancer cases were registered in the HBCR at IACC. Of these, 644 cases (10%) were considered duplicates and 200 cases (3%) were not assigned a diagnosis and excluded from the analyses. From 5794 cases, the proportion of cases which had a microscopically verification (histology or cytology) was 92.3, 6.7% had clinical diagnosis only, and 1.0% were registered through death certificates only. Non-melanoma skin cancers were diagnosed in 185 patients, and excluded from further analysis, which is the standard practice in cancer registry reports and allows for international comparisons. The final analyses were conducted on 5609 new cancer cases.

Analysis of the distribution of reported cancers by age, site and gender

Of the 5609 cancer cases, the mean age at diagnosis was 45.4 years with a standard deviation (SD) of 19.5 years. Females accounted for 63.3% of the cancer cases in the HBCR. Age at diagnosis was not statistically significant between males and females (45.2 and 45.5, respectively, p = 0.65). The male/female ratio was 0.58. For the time period studied, the five most common cancers were: breast (21.4%), cervix (16.8%), prostate (7.1%), non-Hodgkin lymphoma (4.5%) and Kaposi sarcoma (4.3%). For males, 19.3% of the cancers were prostate, 7.5% Kaposi sarcoma, and 7.5% non-Hodgkin lymphoma. Cancers of the breast and cervix together accounted for almost 60% of all cancers in females (Table 1).
Table 1

Distribution of the number of cancers by site and gender from the IACC hospital-based cancer registry, 2012–2016

TotalMaleFemale
Cancer SiteNo.%No.%No.%
Lip and Oral Cavity1753.11035.0722.0
Nasopharynx240.4180.960.2
Oesophagus1322.4954.6371.0
Stomach1753.1904.4852.4
Colon and Rectum1552.8944.6611.7
Liver1412.5854.1561.6
Gallbladder160.360.3100.3
Pancreas340.6190.9150.4
Nasal Cavity and Middle Ear300.5160.8140.4
Larynx761.4653.2110.3
Lung991.8693.4300.8
Melanoma of Skin561.0211.0351.0
Bone681.2361.7320.9
Kaposi Sarcoma2414.31547.5872.5
Connective and Soft Tissue1823.2964.7862.4
Breast120021.4341.7116632.8
Cervix Uteri94416.894426.6
Corpus Uteri741.3742.1
Ovary761.4762.1
Prostate3977.139719.3
Kidney1903.4994.8912.6
Bladder761.4331.6431.2
Eye1813.2834.0982.8
Brain and CNS410.7150.7260.7
Thyroid370.7130.6240.7
Hodgkin Lymphoma400.7211.0190.5
Non-Hodgkin Lymphoma2534.51547.5992.8
Multiple Myeloma430.8160.8270.8
Leukaemia1352.4763.7591.7
Other and Unspecified Cancers3185.71517.31674.7
All cancers, excluding non-melanoma skin cancer560910020591003550100

Legend: CNS Central Nervous System

Distribution of the number of cancers by site and gender from the IACC hospital-based cancer registry, 2012–2016 Legend: CNS Central Nervous System

Analysis of the distribution pattern of reported cancers by site and year of diagnosis

Between 2012 and 2016, the highest number of registered cases was 1232 new cases in 2013 (22% of all periods) and the lowest was in 2012 with 974 (17%) new cases in this quinquennium (Table 2, Additional file 1). Of the ten most common types of cancer, prostate and non-Hodgkin lymphoma, displayed a very different distribution pattern of the other common cancer types over the specified time period. The gender distribution was similar from 2012 to 2016.
Table 2

Distribution of the number of cancers by site and year of diagnosis from the IACC hospital-based cancer registry, 2012–2016. Distribution of all reported cases from 2012 to 2016 by gender is available in supplementary data (Additional file 1)

Cancer Site20122013201420152016Total
Lip and Oral Cavity1735394341175
Stomach3338383135175
Kaposi Sarcoma4957494442241
Connective and Soft Tissue3340343837182
Breast2183081942442361200
Cervix Uteri171175203195200944
Prostate10988419267397
Kidney4033513729190
Eye3028454731181
Non-Hodgkin Lymphoma5273445628253
Other and Unspecified Cancers2223573863593471671
Total97412321124118610935609
Distribution of the number of cancers by site and year of diagnosis from the IACC hospital-based cancer registry, 2012–2016. Distribution of all reported cases from 2012 to 2016 by gender is available in supplementary data (Additional file 1) The mean age at diagnosis was 45.4 years old, SD ± 19.5 (45.2 for males and 45.5 for females). Breast and cervical cancers were the two most frequent cancer types each year. Other than breast and cervical cancers, there were variations in the relative frequency of the other cancer types, such as prostate cancer, non-Hodgkin lymphoma, Kaposi sarcoma, and cancers of the oral cavity, which were amongst the most commonly diagnosed.

Analysis of the distribution pattern of reported cancers by place of residence

From all cancer cases, over 80 % (4607 cases) in the HBCR were residents from the Luanda district. There were no differences in the proportions of breast (Luanda residents - 33% vs people living in other areas of Angola- 32%) and cervix uteri (Luanda - 27% vs people living in other areas of Angola - 26%) cancers. However, there were a higher proportion of prostate cancer cases among patients living in urban Luanda (Luanda residents - 20% vs people living in other areas of Angola - 5%). On the contrary we found higher proportion of retinoblastoma (Luanda - 3% vs people living in other areas of Angola - 5%), kidney cancer (Luanda - 3% vs people living in other areas of Angola - 5%), and non-Hodgkin lymphoma (Luanda - 4% vs people living in other areas of Angola - 6%) diagnosed in residents living outside Luanda.

Analysis of the distribution pattern of reported cancers in children (< 15 years old)

There were 543 new cancer cases (9.7%) reported over 2012–2016 among paediatric patients in the IACC HBCR aged less than 15 years. Of these 543, slightly more than half (55.6%) were male. Amongst this patient population, the most common cancer types were Wilms’ tumour, retinoblastoma, and non-Hodgkin lymphoma, corresponding to 64.4% of the total of cancers reported for this age group (Table 3).
Table 3

Distribution of the number and percentage of childhood cancers by site and gender from the IACC hospital-based cancer registry, 2012–2016

TotalMaleFemale
Cancer SiteNo%No%No%
Connective and Soft Tissue417.6258.3166.6
Wilms’ Tumour14126.07123.57029.0
Retinoblastoma12122.36120.26024.9
Non-Hodgkin Lymphoma8816.26220.52610.8
Leukaemia478.7278.9208.3
Other and Unspecified Cancers10519.35618.54920.3
All cancers, excluding non-melanoma skin cancer543100.0302100.0241100.0
Distribution of the number and percentage of childhood cancers by site and gender from the IACC hospital-based cancer registry, 2012–2016

Calculation of age-standardized incidence rates for the Luanda region

The age-standardized incidence rates of the five most common cancer types for the Luanda region were calculated (Table 4). In males, the highest age-standardized incidence rate was prostate (7.9) followed by Kaposi sarcoma (1.8), lip and oral cavity (1.4), stomach (1.4) and non-Hodgkin lymphoma (1.22) at the lowest. In females, the highest age-standardized incidence rate was for breast (13.7) followed by cervix uteri (11.7), stomach (1.3), non-Hodgkin lymphoma (0.8) and Kaposi sarcoma (0.8) with the lowest rate. Figures 2, 3, and 4 show the age-specific rates for prostate, breast, and cervix uteri cancers, respectively.
Table 4

Top-five age-standardized incidence cancer rates per 100,000 person-years in the Luanda region, by gender from the IACC hospital-based cancer registry, 2012–2016

Age-Standardized Rates per 100,000
RankMaleFemale
1Prostate – 7.9Breast – 13.7
2Kaposi Sarcoma – 1.8Cervix Uteri – 11.7
3Lip and Oral Cavity – 1.4Stomach – 1.3
4Stomach – 1.4Non-Hodgkin Lymphoma – 0.8
5Non-Hodgkin Lymphoma – 1.2Kaposi Sarcoma – 0.8
Fig. 2

Age-specific incidence rates per 100,000 for prostate cancer from the IACC hospital-based cancer registry, 2012–2016

Fig. 3

Age-specific incidence rates per 100,000 for breast cancer from the IACC hospital-based cancer registry, 2012–2016

Fig. 4

Age-specific incidence rates for cervix uteri cancer from the IACC hospital-based cancer registry, 2012–2016

Top-five age-standardized incidence cancer rates per 100,000 person-years in the Luanda region, by gender from the IACC hospital-based cancer registry, 2012–2016 Age-specific incidence rates per 100,000 for prostate cancer from the IACC hospital-based cancer registry, 2012–2016 Age-specific incidence rates per 100,000 for breast cancer from the IACC hospital-based cancer registry, 2012–2016 Age-specific incidence rates for cervix uteri cancer from the IACC hospital-based cancer registry, 2012–2016 We compared our HBCR data to the five most common tumours, by gender according to IACR’s GLOBOCAN 2018 (Table 5). Data from Namibia, the Republic of the Congo-Brazzaville, and Zambia (all bordering Angola), were used to calculate the GLOBOCAN 2018 estimates [11]. There are differences between the most common tumours observed in the IACC HBCR and those published by GLOBOCAN.
Table 5

Estimated Top-five cancer types in 2018 (Angola, Congo, Zambia and Namibia) and Luanda Region (2012–2016)

CountryLuanda Region(2012–2016)AngolaaGLOBOCAN 2018R. CongobGLOBOCAN 2018ZambiacGLOBOCAN 2018NamibiadGLOBOCAN 2018
MenWomenMenWomenMenWomenMenWomenMenWomen
1stProstateBreastProstateCervix U.ProstateBreastProstateCervix U.ProstateBreast
2ndKaposi S.Cervix U.LiverBreastLiverCervix U.Kaposi S.BreastKaposi S.Cervix U.
3thLip, Oral CavityStomachColorectalColorectalColorectalColorectalNHLKaposi S.Lip, Oral CavityKaposi S.
4thStomachNHLNHLEyeStomachOvaryOesophagusNHLColorectalColorectal
5thNHLKaposi S.LungOvaryLungLiverColorectalColorectalLungOvary

NHL non-Hodgkin lymphoma; Kaposi S. Kaposi sarcoma; Cervix U Cervix uteri. aEstimative according simple average of Congo, Zambia and Namibia rates. bRates from Brazzaville (2010–2014) applied to 2018 population; cRates from Lusaka (2011.-2015) applied to 2018 population; dRates from Namibia (2010–2014) 4 applied to 2018 population. Bold - cancer site equal across the different estimations and the Luanda region.

Estimated Top-five cancer types in 2018 (Angola, Congo, Zambia and Namibia) and Luanda Region (2012–2016) NHL non-Hodgkin lymphoma; Kaposi S. Kaposi sarcoma; Cervix U Cervix uteri. aEstimative according simple average of Congo, Zambia and Namibia rates. bRates from Brazzaville (2010–2014) applied to 2018 population; cRates from Lusaka (2011.-2015) applied to 2018 population; dRates from Namibia (2010–2014) 4 applied to 2018 population. Bold - cancer site equal across the different estimations and the Luanda region.

Discussion

The cancer registries in most Sub-Saharan Africa countries are constrained in the collection of all cancer cases whether throughout the entire country or in specific regions. Therefore, accurate incidence rates are almost impossible to calculate due to lack of resources and organization to collect the needed data [12], which is the current situation in Angola. The best cancer registries occur in hospital units and where there is willingness to coordinate the collection and storage of these records centrally. However, creating cancer registries in hospitals, which was one of the recommendations of the AFCRN in 2014, has not been adequately implemented in Sub-Saharan Africa. This is a challenge in Angola due to several difficulties in expanding the current IACC hospital-based registry into a population-based registry.

Characterization of HBCR/IACC

Currently, the IACC is insufficiently staffed to conduct active data collection in other hospitals, pathology laboratories, and health care facilities in Luanda. Moreover, information from death certificates is not available from General Register Offices and the existing death certificate information that is available is considered by the professionals interviewed during the AFCRN site visit to be of too poor quality to be useful for inclusion in a cancer registry. In this study, we identified several issues related to the quality of the information available in the IACC HBCR, such as missing data, duplicate case records, and data inconsistencies [13]. However, despite these limitations, the only data currently available in Angola is from the IACC hospital-based registry.

Valuable information and limitations identified

Despite these data limitations available in the HBCR, our study is the largest, most complete, and the only study in which quality control of the data was conducted amongst cancer incidence studies conducted in Angola. In this study, missing and incomplete data were excluded from the analyses. In comparison to the data previously published by Armando and colleagues [6]. Regarding IACC HBCR for the time period 2007 to 2011, we verified that the global number of malignant tumours diagnosed per year increased. Cervical, breast, and prostate cancers are in the top three cancers ranked by incidence and accounted for a significant portion of the overall cancer burden in Angola. Interestingly, the number of cases with Kaposi’s sarcoma decreased slightly in comparison to the previous period of analysis [6]. The lower number of cases in 2016, as compared to the previous years can be explained in part, by the delay in the notification of new cancer cases and inconsistent data received from these other institutions that submit data to the IACC HBCR. However, the opening of other cancer care facilities and institutions and traveling for cancer treatment in Namibia and South Africa may also have contributed to the lower number of cases reported in Angola for this year [14]. The decreasing number of prostate cancer case records is likely due to underreporting. A private clinical unit dedicated to the treatment of urological cancer was established in Luanda; however, these cancer cases are not yet reported to the IACC HBCR and there was no urology clinic or specialized service for prostate cancer in the IACC during the studied period. Regarding paediatric patients, Wilms’ Tumour, retinoblastoma and Non-Hodgkin’s Lymphoma were the most frequent tumours diagnosed at the IACC. The observed profile of paediatric cancers was similar to the prevalent tumours described recently by Wy and colleagues and by Stefan and colleagues when they analysed African paediatric cancer registries [15, 16]. In addition, we compared our data to the five most frequent tumours, by sex, according to GLOBOCAN 2018 for Angola. This comparison highlighted the potential deviation from the reality in many countries that estimates may have. A reliable study of cancer incidence rates, or time trends, integrating the limited existing data into mathematical models of incidence estimates may result in a closer and more realistic picture of cancer burden in Angola than the current models that only take into account estimates from neighbouring countries. However, our results should not be considered in the GLOBOCAN estimates given that we observed too many fluctuations in numbers being diagnosed each year and other data limitations thereby suggesting a very large misclassification of some cancer cases at the IACC and other participating institutions.

Proposal to optimize the IACC’s HBCR

Although the gold standard for cancer registration is population-based cancer registries, these are not always available in many countries [17, 18]. In these circumstances, HBCR may provide a starting point for determining cancer occurrence in a region or country. For example, Jedy-Agba and colleagues [19]. analyzed the role of hospital-based cancer registries in Nigeria and concluded that information provided by these registries is beneficial and could be used for the improvement of cancer care delivery systems in low and middle-income countries in the absence of population-based cancer registries. Thus, upgrading hospital-based cancer registries to population-based cancer registries in these regions is of paramount importance and should be a priority of a government [19]. As a result, dedicated oncology clinical units are under development in the most important general hospitals in Luanda and these units are comprised of a medical oncologist and a dedicated nurse. Tumour registrars, who will be part of the hospital registry service, are also included. Thus, a registry office for cancer cases in the main hospitals in Luanda was established and will serve as the primary source of information for the future population-based Luanda Cancer Registry. In Angola, despite our efforts in creating and maintaining the hospital-based cancer registry at the IACC, the true total burden of cancer, as well as, the details of cancer types, remains largely unknown. It is strategic that cancer became a notifiable disease under Angolan law for both the public and private sectors. All cases of cancer diagnosed in Luanda hospitals, even without microscopic confirmation, are to be reported to population-based cancer registry, as proposed by the AFCRN [8, 20, 21]. The location of this cancer registry is (or should be), according to the Angolan law, the IACC [6]. All death certificates that mention cancer under the local health authority’s control must notify to the cancer registry. The newly-diagnosed cancer cases in the capital city should be actively collected from all hospitals, clinics, and diagnostic facilities. Additionally, the IACC hospital-based cancer registry quality control program should be instituted and followed by all hospitals where cancers are diagnosed and treated in Luanda (Table 6).
Table 6

IACC hospital-based cancer registry quality control program

StandardsQuality control activitiesPlace/support
Capacity buildingAppropriate training of tumor registrars and research assistantsPortuguese Institute of Cancer, Porto, Portugal and Beira Cancer registry, Mozambique
Capacity buildingAdditional support provided by the Portuguese Institute of Cancer, Porto, Portugal cancer registry staff.Portuguese Institute of Cancer, Porto, Portugal by teleconference
Internal organizationUsing the Standard Procedure Manual for Population-Based Cancer Registry in sub Saharan Africa.https://afcrn.org/index.php/resources2/53-standard-procedure-manual (20)
Internal organizationUsing the AFCRN Data Collection Form

Portuguese translation of AFCRN Data Collection Form

https://afcrn.org/index.php/resources2/56-data-collection-form (8)

Improving the quality of cancer registryComparing hospital medical record and tumor registry dataIACC
Improving the quality of cancer registryReviewing by research assistant to check accuracy of gender, age, histologic and morphologic diagnosis of the patients according to ICD-O 3,IACC
Improving the quality of cancer registryCrosschecks by research assistant to increase the consistency of the databaseIACC
Improving the quality of cancer registryRevise and record of inaccurate dataIACC
Improving the quality of cancer registryValidation of data by using quality control programs/tools of International Agency for Research on Cancer (IARC) for avoiding duplication and any unlikely combination of age, sex, site and morphology and other factors in the database (CanReg 5).IACC
Improve the cancer registry network in order to start an Population-based cancer registry of LuandaAppropriate training of tumor registrars of other hospitals, in particular: Américo Boavida Hospital, Josina Machel Hospital, Lucrécia Paim Maternity Hospital, David Bernardino Pediatric Hospital, Prenda Hospital, Central Military Hospital and Augusto Ngangula MaternityIACC and Portuguese Institute of Cancer, Porto, Portugal
workshop on the population-based cancer registry of LuandaAll hospitals in LuandaIACC and Ministry of Health
IACC hospital-based cancer registry quality control program Portuguese translation of AFCRN Data Collection Form https://afcrn.org/index.php/resources2/56-data-collection-form (8)

Conclusions

The IACC hospital-based cancer registry provides data on cancer cases treated in several hospital facilities in Luanda. However, this data cannot be considered a reflection of the situation in Luanda (nor Angola) as a whole, as data are not truly a population-based registry. Therefore, in order to overcome the IACC cancer registry limitations identified and to build a population-based cancer registry in Luanda, it is mandatory to implement a rigorous quality control program and to optimize the network of health institutions that actively working on and contributing to the cancer registry, in Luanda. Additional file 1. Distribution of all reported cases from 2012 to 2016 by gender (supplementary data)
  8 in total

1.  The role of hospital-based cancer registries in low and middle income countries-The Nigerian Case Study.

Authors:  Elima E Jedy-Agba; Maria-Paula Curado; Emmanuel Oga; Modupeola O Samaila; Emmanuel R Ezeome; Christopher Obiorah; Olagoke O Erinomo; Ima-Obong A Ekanem; Cornelius Uka; Ahmed Mayun; Enoch A Afolayan; Popoola Abiodun; Babatunde J Olasode; Abidemi Omonisi; Theresa Otu; Patience Osinubi; Patrick Dakum; William Blattner; Clement A Adebamowo
Journal:  Cancer Epidemiol       Date:  2012-06-15       Impact factor: 2.984

2.  Cancer registries in Africa 2014: A survey of operational features and uses in cancer control planning.

Authors:  Robai Gakunga; D Maxwell Parkin
Journal:  Int J Cancer       Date:  2015-11-01       Impact factor: 7.396

3.  Survival from childhood cancers in Eastern Africa: A population-based registry study.

Authors:  W Yvonne Joko-Fru; D Maxwell Parkin; Margaret Borok; Eric Chokunonga; Anne Korir; Sarah Nambooze; Henry Wabinga; Biying Liu; Cristina Stefan
Journal:  Int J Cancer       Date:  2018-09-19       Impact factor: 7.396

Review 4.  Cancer of childhood in sub-Saharan Africa.

Authors:  Cristina Stefan; Freddie Bray; Jacques Ferlay; Biying Liu; D Maxwell Parkin
Journal:  Ecancermedicalscience       Date:  2017-07-28

5.  Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries.

Authors:  Freddie Bray; Jacques Ferlay; Isabelle Soerjomataram; Rebecca L Siegel; Lindsey A Torre; Ahmedin Jemal
Journal:  CA Cancer J Clin       Date:  2018-09-12       Impact factor: 508.702

6.  The epidemiology of cancer in Angola-results from the cancer registry of the national oncology centre of Luanda, Angola.

Authors:  António Armando; Mary Clarisse Bozzetti; Alice de Medeiros Zelmanowicz; Fernando Miguel
Journal:  Ecancermedicalscience       Date:  2015-02-17

7.  Drivers of advanced stage at breast cancer diagnosis in the multicountry African breast cancer - disparities in outcomes (ABC-DO) study.

Authors:  Fiona McKenzie; Annelle Zietsman; Moses Galukande; Angelica Anele; Charles Adisa; Groesbeck Parham; Leeya Pinder; Herbert Cubasch; Maureen Joffe; Frederick Kidaaga; Robert Lukande; Awa U Offiah; Ralph O Egejuru; Aaron Shibemba; Joachim Schuz; Benjamin O Anderson; Isabel Dos Santos Silva; Valerie McCormack
Journal:  Int J Cancer       Date:  2017-12-23       Impact factor: 7.396

8.  What Global Oncology Needs: Mutual Learning and More Funding.

Authors:  Bishal Gyawali; Gilberto Lopes
Journal:  J Glob Oncol       Date:  2018-09
  8 in total

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