The regional cancer spectrum in Uganda: a population-based cancer survey by sub-regions (2017–2020)

The sub-regional cancer spectrum in Uganda ranges from cervical cancer to breast, esophageal, ovarian and KS in females. Male cancers include prostate, esophageal, KS, liver and stomach cancers. Although the cancer profile is similar in most sub-regions of Uganda, except Ankole subregions with mountainous topography (Rwenzori, Kigezi, Bugisu), there has been significant variation in cancer profile, especially for males, where Non-Hodgkins Lymphomas is one of the cancers reported for Uganda by PBCRs in Gulu, and Kampala has been replaced by stomach cancers as one of the common male cancers in the sub-regions. These findings emphasize the need for the establishment and support of additional regional PBCRs and periodic population-based cancer surveys to accurately determine the burden of cancer, inform the establishment of regional cancer centers and guide national and sub-national cancer control programs in Uganda. Cancer surveillance systems using PBCRs should be part of the national cancer control program. Periodic population-based cancer surveys should also be conducted as part of Uganda's demographic and health surveys in areas without PBCRs to inform the country comprehensively and accurately on the cancer burden to design robust cancer mitigation measures.

Authors

Institutions

Publication Details

Journal
ecancermedicalscience
Published
2024-09-30
DOI
https://doi.org/10.3332/ecancer.2024.1782
Citations
6
Primary Topic
Global Cancer Incidence and Screening
Type
article
Field-Weighted Citation Impact
1.70
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The regional cancer spectrum in Uganda: a population-based cancer survey by sub-regions (2017–2020)

Alfred Jatho, Nixon Niyonzima, Jackson Orem, Francis Okongo et al.
6 citations
ecancermedicalscience
Global Cancer Incidence and Screening
1.70
article

The regional cancer spectrum in Uganda: a population-based cancer survey by sub-regions (2017–2020)

Alfred Jatho, Nixon Niyonzima, Jackson Orem, Francis Okongo, David Martin Ogwang, Catherine Amuge
article en
6 citations

Abstract

The sub-regional cancer spectrum in Uganda ranges from cervical cancer to breast, esophageal, ovarian and KS in females. Male cancers include prostate, esophageal, KS, liver and stomach cancers. Although the cancer profile is similar in most sub-regions of Uganda, except Ankole subregions with mountainous topography (Rwenzori, Kigezi, Bugisu), there has been significant variation in cancer profile, especially for males, where Non-Hodgkins Lymphomas is one of the cancers reported for Uganda by PBCRs in Gulu, and Kampala has been replaced by stomach cancers as one of the common male cancers in the sub-regions. These findings emphasize the need for the establishment and support of additional regional PBCRs and periodic population-based cancer surveys to accurately determine the burden of cancer, inform the establishment of regional cancer centers and guide national and sub-national cancer control programs in Uganda. Cancer surveillance systems using PBCRs should be part of the national cancer control program. Periodic population-based cancer surveys should also be conducted as part of Uganda's demographic and health surveys in areas without PBCRs to inform the country comprehensively and accurately on the cancer burden to design robust cancer mitigation measures.

ecancermedicalscienceVol. 18
St. Mary's Hospital Lacor (UG), Uganda Cancer Institute (UG)
Openalex Percentile: Top 13%
Global Cancer Incidence and Screening
1.70
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.