Evidence map›Paper›PMID 27443170›Full record

ArticleCancer causes & control : CCC2016

How generalizable are the SEER registries to the cancer populations of the USA?

Tzy-Mey Kuo, Lee R Mobley

Abstract read
In one paragraph

Article in Cancer causes & control : CCC, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
67citing 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

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

  1. Barriers to Hematopoietic Cell Transplantation for Adults in the United States: A Systematic Review with a Focus on Age.Biology of blood and marrow transplantation : journal of the American Society for Blood and Marrow Transplantation · 2020
    Pooled it
  2. Observational
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. The Risk of Type 2 Diabetes among Older Asian, Native Hawaiian, and Pacific Islander Colorectal Cancer Survivors: A Population-Based Study Using the SEER-Medicare Database.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Observational
  17. Article
  18. Article
  19. Article
  20. Article

7 more citing papers are in PubMed but not listed here.

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.

Tzy-Mey KuoLineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, CB 7293, Chapel Hill, NC, 27599-7293, USA. tkuo@email.unc.edu.ORCID 0000-0003-0700-5990
Lee R MobleySchool of Public Health and Andrew Young School of Policy Studies, Georgia State University, Atlanta, GA, USA.

Funding

Geospatial Factors & Impacts: Measurement and UseR01CA126858 · NCI · RESEARCH TRIANGLE INSTITUTE · PI ANSELIN, LUC, MOBLEY, LEE R · 2007 to 2015
$3.4M
NCI NIH HHS R01 CA126858
6 · The paper itself

Abstract

backgroundWe determined whether the current SEER registries are representative of the nation's cancer cases or the socio-demographic characteristics.

methodsWe used breast cancer (BC) and colorectal cancer (CRC) cases diagnosed 2004-2009 from the US Cancer Statistics (USCS) database. Cases were classified into groups residing in SEER coverage areas and the other areas. We compared difference between SEER and non-SEER areas in: age-race-specific proportions of late-stage BC or CRC, area demographics and socioeconomic factors, and data quality.

resultsFor late-stage CRC diagnosis, SEER areas contained lower proportions of people with other race and higher proportions of Asian and Hispanic females aged <40, than non-SEER areas. For late-stage BC diagnosis, SEER and non-SEER estimates were comparable. SEER areas had lower percentages of whites and higher percentages of young people, were more urban, and had higher percentage of poor, lower educational attainment, and higher unemployment. SEER areas also tended to have a higher percentage of case completeness than non-SEER areas.

conclusionOverall, SEER registries were not significantly different from non-SEER areas in terms of average age-race-specific proportions of late-stage BC or CRC, except for estimates of late-stage CRC for other race and young Asian and Hispanic women. Although case completeness was better in SEER areas than non-SEER areas, SEER areas had greater economic disadvantage and greater minority diversity among the population. This study demonstrated a need for caution in using SEER data and discussed advantages of using the more complete USCS database.

Indexed as

SEER ProgramAdultAgedAged, 80 and overBreast NeoplasmsColorectal NeoplasmsFemaleHispanic or LatinoHumansMiddle AgedRacial GroupsRegistriesSocioeconomic FactorsWhite PeopleCancerGeneralizableLate stageRegistrySEER

Identifiers

PMID27443170
PMCPMC5180598

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.