Evidence map›Paper›PMID 19080009›Full record

ArticlePreventing chronic disease2009

Mapping cancer for community engagement.

Kirsten M M Beyer, Gerard Rushton

Abstract read
In one paragraph

Article in Preventing chronic disease, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
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  6. The effect of pre-aggregation scale on spatially adaptive filters.Spatial and spatio-temporal epidemiology · 2022
    Article
  7. Article
  8. Article
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  10. The spatial epidemiology of pediatric trauma: A statewide assessment.The journal of trauma and acute care surgery · 2017
    Article
  11. Article
  12. Article
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  14. Article
  15. Article
  16. Article
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  18. Choropleth map design for cancer incidence, part 1.Preventing chronic disease · 2010
    Article
  19. Choropleth map design for cancer incidence, part 2.Preventing chronic disease · 2010
    Article
  20. Geographic disparities in colorectal cancer survival.International journal of health geographics · 2009
    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

2 authors.

Kirsten M M BeyerDept of Geography, University of Iowa, Iowa City, IA 52242, USA. kirsten-beyer@uiowa.edu
Gerard Rushton

Funding

A GIS Based Workbench to Interpret Cancer MapsR01CA095961 · NCI · UNIVERSITY OF IOWA · PI RUSHTON, GERARD · 2002 to 2004
$1.3M
NCI NIH HHS 1 R01CA95961-03NCI NIH HHS R01 CA095961PHS HHS U55/CCU721906-04
6 · The paper itself

Abstract

introductionTwo research strategies may reduce health disparities: community participation and the use of geographic information systems. When combined with community participation, geographic information systems approaches, such as the creation of disease maps that connect disease rates with community context, can catalyze action to reduce health disparities. However, current approaches to disease mapping often focus on the display of disease rates for political or administrative units. This type of map does not provide enough information on the local rates of cancer to engage community participation in addressing disparities.

methodsWe collaborated with researchers and cancer prevention and control practitioners and used adaptive spatial filtering to create maps that show continuous surface representations of the proportion of all colorectal cancer cases diagnosed in the late stage. We also created maps that show the incidence of colorectal cancer.

resultsOur maps show distinct patterns of cancer and its relationship to community context. The maps are available to the public on the Internet and through the activities of Iowa Consortium for Comprehensive Cancer Control partners.

conclusionCommunity-participatory approaches to research are becoming more common, as are the availability of geocoded data and the use of geographic information systems to map disease. If researchers and practitioners are to engage communities in exploring cancer rates, maps should be made that accurately represent and contextualize cancer in such a way as to be useful to people familiar with the characteristics of their local areas.

Indexed as

Maps as TopicColorectal NeoplasmsDemographyGeographic Information SystemsHumansIncidenceIowa

Identifiers

PMID19080009
PMCPMC2644580

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.