cancer; South Africa; HIV/AIDS; probabilistic record linkage
Tafadzwa Dhokotera, Julien Riou, Lina Bartels, Eliane Rohner, Frederique Chammartin, Leigh Johnson, Elvira Singh, Victor Olago, Mazvita Sengayi-Muchengeti, Matthias Egger, Julia Bohlius, Garyfallos Konstantinoudis (2021), Spatiotemporal modelling and mapping of cervical cancer incidence among HIV positive women in South Africa: a nationwide study, in International Journal of Health Geographics
, 20(1), 30-30.
Ruffieux Yann, Muchengeti Mazvita, Egger Matthias, Efthimiou Orestis, Bartels Lina, Olago Victor, Davidović Maša, Dhokotera Tafadzwa, Bohlius Julia, Singh Elvira, Rohner Eliane (2021), Immunodeficiency and Cancer in 3.5 Million People Living With Human Immunodeficiency Virus (HIV): The South African HIV Cancer Match Study, in Clinical Infectious Diseases
, 73(3), e735-e744.
Muchengeti Mazvita, Bohlius Julia, Dhokotera Tafadzwa G. (2021), Conjunctival cancer in people living with HIV, in Current Opinion in Infectious Diseases
, 34(1), 1-7.
Ruffieux Yann, Dhokotera Tafadzwa, Muchengeti Mazvita, Bartels Lina, Olago Victor, Bohlius Julia, Singh Elvira, Egger Matthias, Rohner Eliane (2021), Cancer risk among adolescents and young adults living with HIV in South Africa: a national cohort study, in The Lancet HIV
Bohlius Julia, Bartels Lina, Chammartin Frédérique, Olago Victor, Spoerri Adrian, Rohner Eliane, Singh Elvira, Egger Matthias, Muchengeti Mazvita (2021), Privacy preserving-probabilistic record linkage to assess cancer outcomes in people living with HIV in South Africa
, Africarxiv Preprints, online.
MuchengetiMazvita, BartelsLina, OlagoVictor, DhokoteraTafadzwa, ChenCarl Wenlong, RohnerEliane, BütikoferLukas, RuffieuxYann, SinghElvira, Egger, BohliusJulia (2020), Cohort Profile: The South African HIV Cancer Match Study (SAM)
, OSF Preprints, online.
Dhokotera Tafadzwa, Bohlius Julia, Spoerri Adrian, Egger Matthias, Ncayiyana Jabulani, Olago Victor, Singh Elvira, Sengayi Mazvita (2019), The burden of cancers associated with HIV in the South African public health sector, 2004–2014: a record linkage study, in Infectious Agents and Cancer
, 14(1), 12-12.
Bohlius Julia, Foster Caroline, Naidu Gita, Sengayi Mazvita, Turkova Anna (2018), Cancer in adolescents and young adults living with HIV, in Current Opinion in HIV and AIDS
, 13(3), 196-203.
DhokoteraTafadzwa, BohliusJulia, EggerMatthias, SpoerriAdrian, Ncayiyana Jabulani, NaiduGita, OlagoVictor, SinghElvira, MuchengetiMazvita, Cancer in HIV-positive and HIV-negative adolescents and young adults in South Africa: a cross-sectional study, in BMJ Open
Background: The International Agency for Research on Cancer (IARC) established HIV infection as a cause of cancer in 1996. However, research on HIV-related cancers in sub-Saharan Africa, where two-thirds of the world’s HIV-positive population lives, is limited. Large-scale studies to examine the association between HIV infection and the full spectrum of cancers in the era of African antiretroviral treatment are needed. Objectives and goals: Our overarching goal is to inform cancer prevention and control programmes in children and adults living with HIV in the era of combined antiretroviral therapy (ART) in South Africa. We aim (i) to establish a cohort of HIV-positive children and adults using results for HIV tests, CD4 count, and HIV RNA stored at National Health Laboratory Services (NHLS) using probabilistic record linkage techniques; (ii) to link the NHLS HIV/CD4 records to the National Cancer Registry (NCR) records and identify HIV-positive children and adults who developed cancer between 2004 and 2014; and (iii) to use the linked dataset to study the spectrum, incidence, and risk factors of developing cancer in HIV-positive children and adults. Methods of investigation: The SA HIV Cancer Match Study is a two-step probabilistic linkage study. In its first step, a cohort of HIV-positive children and adults is constructed based on results of HIV tests, CD4 counts, and HIV RNA viral loads recorded between 2004 and 2014 that are stored at the data repository of the NHLS in Johannesburg, South Africa. We will use patient name, sex, and date of birth to identify laboratory data belonging to one person (linkage within database). In a second step the cohort will be linked with the South African NCR (linkage between databases) using name, birth date, and sex as linkage variables. For successful links we will extract cancer data (ICD-10; ICD-O-3, date of diagnosis, and stage of disease) from the NCR. The cohort will include about 4 million HIV-positive people with more than 130,000 cancer cases. Patient identifiers will be removed and the anonymized dataset used for analyses. We will calculate age-specific and sex-specific incidence rates and standardized incidence ratios (SIRs) for specific cancer types per 100,000 person-years and 95% confidence intervals using Poisson, Cox, and flexible parametric survival regression models. In univariable and multivariable regression modes we will investigate the importance of age, sex, baseline and time-updated CD4 cell count and HIV RNA, and calendar year of enrolment, ethnicity, and province of residence. The main outcomes will be spectrum of cancers, incidence rates, and SIR comparing HIV-positive persons with the general population. All analyses will be conducted separately for children and adults. Significance: The linkage study will allow for large sample sizes and statistical power, thus enabling analyses of specific AIDS-defining and non-AIDS-defining cancers. The cohort will have national geographic and population coverage. This will be one of the largest studies on cancers in HIV-positive persons ever done, and will inform cancer control programs in South Africa and other countries in the sub-Saharan African region.