Evidence map›Paper›PMID 35493778›Full record

ArticleJournal of global health2022

High-resolution disease maps for cancer control in low-resource settings: A spatial analysis of cervical cancer incidence in Kampala, Uganda.

Kirsten Beyer, Simon Kasasa, Ronald Anguzu, Robert Lukande, Sarah Nambooze, Phoebe M Amulen, Yuhong Zhou, Brendah Nansereko, Courtney Jankowski, Tonny Oyana and 3 more

Abstract read
In one paragraph

Article in Journal of global health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Cancer InFocus: Tools for Cancer Center Catchment Area Geographic Data Collection and Visualization.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 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

13 authors.

Kirsten BeyerMedical College of Wisconsin, Milwaukee, Wisconsin, USA.
Simon KasasaMakerere University, Kampala, Uganda.
Ronald AnguzuMedical College of Wisconsin, Milwaukee, Wisconsin, USA.
Robert LukandeMakerere University, Kampala, Uganda.
Sarah NamboozeMakerere University, Kampala, Uganda.
Phoebe M AmulenMakerere University, Kampala, Uganda.
Yuhong ZhouMedical College of Wisconsin, Milwaukee, Wisconsin, USA.
Brendah NanserekoMakerere University, Kampala, Uganda.
Courtney JankowskiMedical College of Wisconsin, Milwaukee, Wisconsin, USA.
Tonny OyanaMakerere University, Kampala, Uganda.
Danielle SavinoMedical College of Wisconsin, Milwaukee, Wisconsin, USA.
Kavanya FeustelMedical College of Wisconsin, Milwaukee, Wisconsin, USA.
Henry WabingaMakerere University, Kampala, Uganda.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The global burden of cervical cancer is concentrated in low-and middle-income countries (LMICs), with the greatest burden in Africa. Targeting limited resources to populations with the greatest need to maximize impact is essential. The objectives of this study were to geocode cervical cancer data from a population-based cancer registry in Kampala, Uganda, to create high-resolution disease maps for cervical cancer prevention and control planning, and to share lessons learned to optimize efforts in other low-resource settings. Methods: Kampala Cancer Registry records for cervical cancer diagnoses between 2008 and 2015 were updated to include geographies of residence at diagnosis. Population data by age and sex for 2014 was obtained from the Uganda Bureau of Statistics. Indirectly age-standardized incidence ratios were calculated for sub-counties and estimated continuously across the study area using parish level data. Results: Overall, among 1873 records, 89.6% included a valid sub-county and 89.2% included a valid parish name. Maps revealed specific areas of high cervical cancer incidence in the region, with significant variation within sub-counties, highlighting the importance of high-resolution spatial detail. Conclusions: Population-based cancer registry data and geospatial mapping can be used in low-resource settings to support cancer prevention and control efforts, and to create the potential for research examining geographic factors that influence cancer outcomes. It is essential to support LMIC cancer registries to maximize the benefits from the use of limited cancer control resources.

Indexed as

Uterine Cervical NeoplasmsFemaleHumansIncidencePovertySpatial AnalysisUganda

Identifiers

PMID35493778
PMCPMC9022722

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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.