1. Pitfalls of practicing cancer epidemiology in resource-limited settings: the case of survival and loss to follow-up after a diagnosis of Kaposi’s sarcoma in five countries across sub-Saharan Africa
- Author
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Freeman, Esther, Semeere, Aggrey, Wenger, Megan, Bwana, Mwebesa, Asirwa, F Chite, Busakhala, Naftali, Oga, Emmanuel, Jedy-Agba, Elima, Kwaghe, Vivian, Iregbu, Kenneth, Jaquet, Antoine, Dabis, Francois, Yumo, Habakkuk Azinyui, Dusingize, Jean Claude, Bangsberg, David, Anastos, Kathryn, Phiri, Sam, Bohlius, Julia, Egger, Matthias, Yiannoutsos, Constantin, Wools-Kaloustian, Kara, and Martin, Jeffrey
- Subjects
Biomedical and Clinical Sciences ,Public Health ,Health Sciences ,Clinical Sciences ,Rare Diseases ,Emerging Infectious Diseases ,Cancer ,Sexually Transmitted Infections ,HIV/AIDS ,Prevention ,Infectious Diseases ,2.4 Surveillance and distribution ,Aetiology ,Infection ,Good Health and Well Being ,Adult ,Africa South of the Sahara ,Delivery of Health Care ,Female ,Follow-Up Studies ,HIV Infections ,Humans ,Male ,Middle Aged ,Proportional Hazards Models ,Sarcoma ,Kaposi ,Survival ,Mortality ,Kaposi's sarcoma ,Resource-limited settings ,Africa ,Loss to follow-up ,Cohort ,Oncology and Carcinogenesis ,Public Health and Health Services ,Oncology & Carcinogenesis ,Oncology and carcinogenesis ,Epidemiology - Abstract
BackgroundSurvival after diagnosis is a fundamental concern in cancer epidemiology. In resource-rich settings, ambient clinical databases, municipal data and cancer registries make survival estimation in real-world populations relatively straightforward. In resource-poor settings, given the deficiencies in a variety of health-related data systems, it is less clear how well we can determine cancer survival from ambient data.MethodsWe addressed this issue in sub-Saharan Africa for Kaposi's sarcoma (KS), a cancer for which incidence has exploded with the HIV epidemic but for which survival in the region may be changing with the recent advent of antiretroviral therapy (ART). From 33 primary care HIV Clinics in Kenya, Uganda, Malawi, Nigeria and Cameroon participating in the International Epidemiologic Databases to Evaluate AIDS (IeDEA) Consortia in 2009-2012, we identified 1328 adults with newly diagnosed KS. Patients were evaluated from KS diagnosis until death, transfer to another facility or database closure.ResultsNominally, 22% of patients were estimated to be dead by 2 years, but this estimate was clouded by 45% cumulative lost to follow-up with unknown vital status by 2 years. After adjustment for site and CD4 count, age
- Published
- 2016