Evidence map›Paper›PMID 35296484›Full record

ArticleBMJ open2022

Infection-related and lifestyle-related cancer burden in Kampala, Uganda: projection of the future cancer incidence up to 2030.

Judith Asasira, Sanghee Lee, Thi Xuan Mai Tran, Collins Mpamani, Henry Wabinga, So-Youn Jung, Yoon Jung Chang, Yikyung Park, Hyunsoon Cho

Abstract read
In one paragraph

Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

24 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  17. Spectrum and Trends of Cancer in Southwestern Uganda from 2012 to 2021.The East African health research journal · 2024
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  19. Article
  20. Age and Cancer Incidence in 5.2 Million People With Human Immunodeficiency Virus (HIV): The South African HIV Cancer Match Study.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2023
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Judith AsasiraDepartment of Cancer Control and Population Health, National Cancer Center Graduate School of Cancer Science and Policy, Goyang, South Korea.
Sanghee LeeDepartment of Cancer Control and Population Health, National Cancer Center Graduate School of Cancer Science and Policy, Goyang, South Korea.
Thi Xuan Mai TranDepartment of Cancer Control and Population Health, National Cancer Center Graduate School of Cancer Science and Policy, Goyang, South Korea.
Collins MpamaniDirectorate of Research and Training, Uganda Cancer Institute, Kampala, Uganda.
Henry WabingaDepartment of Pathology, Kampala Cancer Registry, Makerere University, Kampala, Uganda.
So-Youn JungCenter for Breast Cancer, Research Institute and Hospital, National Cancer Center, Goyang, South Korea.
Yoon Jung ChangDepartment of Cancer Control and Population Health, National Cancer Center Graduate School of Cancer Science and Policy, Goyang, South Korea.
Yikyung ParkDivision of Public Health Sciences, Department of Surgery, Washington University School of Medicine in St Louis, St Louis, Missouri, USA.ORCID 0000-0002-6281-489X
Hyunsoon ChoDepartment of Cancer Control and Population Health, National Cancer Center Graduate School of Cancer Science and Policy, Goyang, South Korea hscho@ncc.re.kr.ORCID 0000-0002-3261-3114

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesIn Uganda, infection-related cancers have made the greatest contribution to cancer burden in the past; however, burden from lifestyle-related cancers has increased recently. Using the Kampala Cancer Registry data, we projected incidence of top five cancers, namely, Kaposi sarcoma (KS), cervical, breast and prostate cancer, and non-Hodgkin's lymphoma (NHL) in Uganda.

designTrend analysis of cancer registry data.

settingKampala Cancer Registry, Uganda.

main outcome measureCancer incidence data from 2001 to 2015 were used and projected to 2030. Population data were obtained from the Uganda Bureau of Statistics. Age-standardised incidence rates (ASRs) and their trends over the observed and projected period were calculated. Percentage change in cancer incidence was calculated to determine whether cancer incidence changes were attributable to cancer risk changes or population changes.

resultsIt was projected that the incidence rates of KS and NHL continue to decrease by 22.6% and 37.3%, respectively. The ASR of KS was expected to decline from 29.6 per 100 000 population to 10.4, while ASR of NHL was expected to decrease from 7.6 to 3.2. In contrast, cervical, breast and prostate cancer incidence were projected to increase by 35.3%, 57.7% and 33.4%, respectively. The ASRs of cervical and breast were projected to increase up to 66.1 and 48.4 per 100 000 women. The ASR of prostate cancer was estimated to increase from 41.6 to 60.5 per 100 000 men. These changes were due to changes in risk factors and population growth.

conclusionOur results suggest a rapid shift in the profile of common cancers in Uganda, reflecting a new trend emerging in low/middle-income countries. This change in cancer spectrum, from infection-related to lifestyle-related, yields another challenge to cancer control programmes in resource-limited countries. Forthcoming cancer control programmes should include a substantial focus on lifestyle-related cancers, while infectious disease control programmes should be maintained.

Indexed as

NeoplasmsProstatic NeoplasmsSarcoma, KaposiHumansIncidenceLife StyleMaleRegistriesUgandaepidemiologyhealth policyoncology

Identifiers

PMID35296484
PMCPMC8928275

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.