Evidence map›Paper›PMID 29563132›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2018

Utility and Generalizability of Multistate, Population-Based Cancer Registry Data for Rural Cancer Surveillance Research in the United States.

Whitney E Zahnd, Wiley D Jenkins, Aimee S James, Sonya R Izadi, David E Steward, Amanda J Fogleman, Graham A Colditz, Laurent Brard

Open access · bronzeAbstract readMulticenter Study
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, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 19% of its field
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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. The Role of Rurality, Travel Time, and Neighborhood Socioeconomics on Patterns of Adjuvant Therapy Receipt among Patients with Endometrial Cancer.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025
    Article
  6. Risks of adverse health outcomes among older rural prostate cancer survivors in the SEER-Medicare data.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2025
    Article
  7. What cancers explain the growing rural-urban gap in human papillomavirus-associated cancer incidence?The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2025
    Article
  8. Article
  9. Urban and Rural Surgical Practice Patterns for Papillary Thyroid Carcinoma.Thyroid : official journal of the American Thyroid Association · 2023
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Validation of Self-reported Cancer Diagnoses Using Medicare Diagnostic Claims in the US Health and Retirement Study, 2000-2016.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2022
    Article
  15. Article
  16. Article
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  18. 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

8 authors at 2 institutions in 1 country.

Whitney E ZahndOffice of Population Science and Policy, Southern Illinois University School of Medicine, Springfield, Illinois. wzahnd@siumed.edu.
Wiley D JenkinsOffice of Population Science and Policy, Southern Illinois University School of Medicine, Springfield, Illinois.
Aimee S JamesDivision of Public Health Sciences, Department of Surgery, Washington University School of Medicine, and Siteman Cancer Center St. Louis, Missouri.
Sonya R IzadiDivision of Public Health Sciences, Department of Surgery, Washington University School of Medicine, and Siteman Cancer Center St. Louis, Missouri.
David E StewardDepartment of Internal Medicine, Southern Illinois University School of Medicine, Springfield, Illinois.
Amanda J FoglemanOffice of Population Science and Policy, Southern Illinois University School of Medicine, Springfield, Illinois.
Graham A ColditzDivision of Public Health Sciences, Department of Surgery, Washington University School of Medicine, and Siteman Cancer Center St. Louis, Missouri.
Laurent BrardDivision of Gynecologic Oncology, Department of Obstetrics and Gynecology, Southern Illinois University School of Medicine, Springfield, Illinois.
Southern Illinois University School of Medicine · USWashington University in St. Louis · US

Funding

Training and Education CoreP20CA192987 · NCI · SOUTHERN ILLINOIS UNIVERSITY SCH OF MED · PI BRARD, LAURENT · 2015 to 2017
$653k
Training and Education ProgramP20CA192966 · NCI · WASHINGTON UNIVERSITY · PI COLDITZ, GRAHAM A. · 2015 to 2017
$527k
NCI NIH HHS P20 CA192966NCI NIH HHS P20 CA192987
6 · The paper itself

Abstract

More than 46 million Americans live in rural areas, but rural populations remain relatively understudied in cancer disparities research. However, several analyses of multistate cancer registry data that describe the rural cancer incidence burden have been recently published. In light of this, our article aims to characterize the utility and generalizability of multistate, population-based cancer registry datasets for rural cancer surveillance research. First, we describe the accessibility, geographic coverage, available variables, and strengths and weaknesses of five data sources. Second, we evaluate two of these data sources-the North American Association of Central Cancer Registries (NAACCR) public use dataset (93% population coverage) and the Surveillance Epidemiology and End Results (SEER) 18 dataset (28% population coverage)-on their characterization of rural-urban cancer incidence rates and sociodemographic representation. The five data sources varied in geographic coverage and extent of available variables. SEER 18's cancer rates sociodemographic representation differed from the more geographically representative NAACCR data. We suggest that SEER increase its geographic coverage to improve their generalizability and to take advantage of their utility to assess disparities along the cancer control continuum. We also suggest that non-SEER data sources be utilized more frequently to capitalize on their extensive geographic coverage.

Indexed as

FemaleHumansMaleNeoplasmsRegistriesRural PopulationSEER ProgramUnited States

Identifiers

PMID29563132
PMCPMC6150847
OpenAlexW2794355471

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.