Evidence map›Paper›PMID 28325736›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2017

Geospatial Approaches to Cancer Control and Population Sciences.

Mario Schootman, Scarlett Lin Gomez, Kevin A Henry, Electra D Paskett, Gary L Ellison, April Oh, Stephen H Taplin, Zaria Tatalovich, David A Berrigan

Abstract readEditorial
In one paragraph

Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 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

35 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Area-Level Variation and Human Papillomavirus Vaccination among Adolescents and Young Adults in the United States: A Systematic Review.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2021
    Pooled it
  2. Article
  3. Review
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  5. Article
  6. Ten Simple Rules for Making a Career Transition from Basic Science to Public Health Research.International journal of environmental research and public health · 2025
    Article
  7. Article
  8. Review
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  10. Article
  11. Article
  12. Assessing the Coverage of US Cancer Center Primary Catchment Areas.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2022
    Article
  13. Article
  14. Article
  15. Asian American/Pacific Islander and Hispanic Ethnic Enclaves, Neighborhood Socioeconomic Status, and Hepatocellular Carcinoma Incidence in California: An Update.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2022
    Article
  16. A Population Health Assessment in a Community Cancer Center Catchment Area: Triple-Negative Breast Cancer, Alcohol Use, and Obesity in New Castle County, Delaware.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2022
    Article
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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.

Mario SchootmanDepartment of Epidemiology, College for Public Health and Social Justice, Saint Louis University, St. Louis, Missouri. schootm@slu.edu.
Scarlett Lin GomezCancer Prevention Institute of California, Fremont, California.
Kevin A HenryDepartment of Geography, Temple University, Philadelphia, Pennsylvania.
Electra D PaskettDepartment of Internal Medicine, College of Medicine and Comprehensive Cancer Center, The Ohio State University, Columbus, Ohio.
Gary L EllisonEpidemiology and Genomics Research Program, Division of Cancer Control and Population Sciences, NCI, Bethesda, Maryland.
April OhBehavioral Research Program, Division of Cancer Control and Population Sciences, NCI, Bethesda, Maryland.
Stephen H TaplinCenter for Global Health, Division of Cancer Control and Population Sciences, NCI, Bethesda, Maryland.
Zaria TatalovichSurveillance Research Program, Division of Cancer Control and Population Sciences, NCI, Bethesda, Maryland.
David A BerriganBehavioral Research Program, Division of Cancer Control and Population Sciences, NCI, Bethesda, Maryland.

Funding

Geographic Disparities in Colorectal Cancer SurvivalR01CA137750 · NCI · WASHINGTON UNIVERSITY · PI SCHOOTMAN, MARIO · 2009 to 2014
$2.0M
Colonoscopy in Colorectal Cancer Patients with Multiple Chronic ConditionsR56AG049503 · NIA · SAINT LOUIS UNIVERSITY · PI SCHOOTMAN, MARIO · 2015 to 2015
$237k
NCI NIH HHS R01 CA137750NIA NIH HHS R56 AG049503
6 · The paper itself

Abstract

Cancer incidence and mortality display strong geographic patterns worldwide and in the United States (1, 2). The environment where individuals live, work, and play is increasingly being recognized as important across the cancer control continuum, including the risk of cancer development, detection, diagnosis, treatment, mortality, and survivorship (3-5). At the same time, emergent technological capacity in geographic information systems (GIS) and mapping, along with increasing sophistication in applied spatial methods, has resulted in a growing research community developing and applying geospatial approaches in health research (5). Through collaborative, transdisciplinary efforts, and continued data collection efforts, there is great potential to apply these emerging geospatial approaches to various aspects of cancer prevention and control to inform etiology and target interventions and implementation of efficacious risk-reducing strategies.

Indexed as

Data CollectionDemographyForecastingGeographic Information SystemsHealthcare DisparitiesHumansIncidenceNeoplasmsRisk Factors

Identifiers

PMID28325736
PMCPMC5380532

What OpenQuestion holds

Textmetadata
LicenceTDM
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.