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

@inproceedings{Freeman2016PitfallsOP,
  title={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={Esther E. Freeman and Aggrey S. Semeere and Megan Wenger and Mwebesa Bwana and Fredrick Chite Asirwa and Naftali Wisindi Busakhala and Emmanuel A Oga and Elima Jedy-Agba and Vivian Kwaghe and Kenneth C. Iregbu and Antoine Jaquet and François Dabis and Habakkuk Azinyui Yumo and Jean Claude Dusingize and David R. Bangsberg and Kathryn M Anastos and Sam J P Phiri and Julia Bohlius and Matthias Egger and Constantin T. Yiannoutsos and Kara Wools-Kaloustian and Jeffrey N Martin},
  booktitle={BMC Cancer},
  year={2016}
}
Survival 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. We addressed this issue in sub-Saharan Africa for Kaposi’s sarcoma (KS), a cancer… CONTINUE READING

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