Publication Date:
2013-11-15
Description:
Introduction It is estimated that nearly half a million people will die of cancer in sub-Saharan Africa (SSA) in 2020, and that the incidence of cancer will increase more than 40% between now and then. Unfortunately, treatment options in SSA are often hampered by a sub-optimal health care infrastructure resulting in advanced disease at presentation and the limited availability of effective, but cost prohibitive, chemotherapy. Consequently patient outcomes are typically poor and there is an unmet need to identify those cancer patients who would benefit most from the limited resources available. In resource-abundant areas, low hemoglobin [hgb], advanced disease stage, and poor patient performance status (PS) are associated with a poor prognosis and often serve to direct cancer care towards palliation instead of cure. Similarly, the international prognostic index (IPI) provides prognostic information among patients with non-Hodgkin lymphoma (NHL). However, the utility of such measures in therapeutic decision making in resource-poor areas is less studied. Here we describe characteristics of patients with a new diagnosis of NHL presenting for care in Uganda and identify factors associated with those patients recommended to receive cancer-directed therapy. Methods We conducted a retrospective analysis of all patients 〉 18 at the time of diagnosis of NHL between 2003 and 2010 who were residents of Kyandondo County (Uganda). Cases were identified from the Kampala Cancer Registry (KCR), a national population-based cancer registry. Patient lists from the KCR were transferred to the Uganda Cancer Institute (UCI), the nation's sole cancer center and Mulago Hospital, a university teaching hospital located in Kampala. Additionally, eligible patients who had not yet been recorded in the KCR were identified from patient records at the UCI or Mulago Hospital. Medical records were reviewed for all eligible patients. Patients determined to have a prior malignancy were excluded from this analysis. Demographic, clinical, and laboratory data were abstracted from the medical record. PS data were not routinely recorded in the medical record. The outcome measure was whether chemotherapy was recommended by clinical staff. We assessed whether demographic, clinical, and laboratory measurements were associated with the recommendation for treatment with chemotherapy. Those variable which were associated with the recommendation for chemotherapy (p
Print ISSN:
0006-4971
Electronic ISSN:
1528-0020
Topics:
Biology
,
Medicine
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