Evidence map›Paper›PMID 27420630›Full record

ArticleCancer epidemiology2016

Cancer incidence trends using American Community Survey estimates are not consistent with SEER for small populations.

Julia Mantey, Julie Ruterbusch, Rafael Meza, Kendra Schwartz

Abstract read
In one paragraph

Article in Cancer epidemiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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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

2 citing papers in PubMed.

  1. 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

4 authors.

Julia ManteyDeparment of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI 48109, United States. Electronic address: jmantey@umich.edu.
Julie RuterbuschDepartment of Oncology, Wayne State University School of Medicine and Karmanos Cancer Institute, Detroit, MI 48201, United States.
Rafael MezaDepartment of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48109, United States.
Kendra SchwartzDepartment of Family Medicine and Public Health Sciences, Wayne State University School of Medicine, Detroit, MI 48201, United States.

Funding

Tumor Biology and Microenvironment (Program 1)P30CA022453 · NCI · WAYNE STATE UNIVERSITY · PI Jennifer L Beebe-Dimmer · 1985 to 2026
$68.4M
NCI NIH HHS HHSN261201000028CNCI NIH HHS P30 CA022453
6 · The paper itself

Abstract

backgroundAmerican Community Survey (ACS) estimates are said to be uncertain for small areas and small population groups. The Surveillance, Epidemiology and End Results (SEER) database uses a decennial census extrapolation methodology to yield population estimates used by cancer researchers across the country. We compared metropolitan Detroit cancer incidence estimates calculated using ACS data to those using SEER population estimates, which we considered to be the gold standard.

methodsWe generated age-adjusted cancer incidence rate estimates for 1-year, 3-year and 5-year time periods (2005-2010) using SEER and ACS population estimates for four racial/ethnic groups by sex and cancer type for residents in the tri-county Detroit area. We calculated incidence rate ratios (IRRs) with corresponding 95% confidence intervals (CIs), and compared trends.

resultsWhile the IRRs were rarely significant, there were significant differences in incidence rate estimates for Hispanic males. Additionally, interpretation of trends varied by the estimate source: the ACS-based lung cancer incidence rate estimate for Hispanic females increased from 70.59 (95% CI 44.85, 110.67) to 86.13 (95% CI 54.83, 132.44) per 100,000 women from 2007 to 2010, while the SEER incidence rate estimate decreased from 80.76 (95% CI 53.36, 119.24) to 73.54 (95% CI 49.24, 106.62).

conclusionsInconsistencies were found when comparing incidence rate estimates for small population groups using the two population estimate sources. This finding has potential implications for health disparities research.

Indexed as

AdultAgedEthnicityFemaleHumansIncidenceMaleMiddle AgedNeoplasmsSEER ProgramSurveys and QuestionnairesUnited StatesYoung AdultAmerican Community SurveyCancer incidence estimatesSEER

Identifiers

PMID27420630
PMCPMC6849392

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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.