Evidence map›Paper›PMID 25638255›Full record

ArticleJournal of the National Cancer Institute2015

Age at cancer diagnosis for blacks compared with whites in the United States.

Hilary A Robbins, Eric A Engels, Ruth M Pfeiffer, Meredith S Shiels

Open access · bronzeAbstract readComparative Study
In one paragraph

Article in Journal of the National Cancer Institute, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 2 pooled it
2.3field-weighted citation impact, top 10% 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

45 citing papers in PubMed, 2 syntheses or guidelines pooled it, 73 citations in OpenAlex.

  1. Pooled it
  2. NCCN Guidelines Insights: Prostate Cancer Early Detection, Version 2.2016.Journal of the National Comprehensive Cancer Network : JNCCN · 2016
    Guideline
  3. Trial
  4. Addressing algorithmic bias in lung cancer screening eligibility.Journal of the National Cancer Institute · 2026
    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 at 1 institution in 1 country.

Hilary A RobbinsDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD (HAR, EAE, RMP, MSS).Current affiliation: HAR is currently affiliated with the Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD. hilary.robbins@alumni.duke.edu.
Eric A EngelsDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD (HAR, EAE, RMP, MSS).Current affiliation: HAR is currently affiliated with the Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Ruth M PfeifferDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD (HAR, EAE, RMP, MSS).Current affiliation: HAR is currently affiliated with the Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Meredith S ShielsDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD (HAR, EAE, RMP, MSS).Current affiliation: HAR is currently affiliated with the Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Johns Hopkins University · US

Funding

Infections, immunity, and inflammation in cancerZIACP010150 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI ENGELS, ERIC A · 2009 to 2025
$24.0M
INSTITUTIONAL RESEARCH CANCER EPIDEMIOLOGY FELLOWSHIPT32CA009314 · NCI · JOHNS HOPKINS UNIVERSITY · PI Corinne E. Joshu, Meghan Bridgid Moran · 1985 to 2026
$11.2M
Intramural NIH HHS
6 · The paper itself

Abstract

backgroundYounger ages at diagnosis for blacks compared with whites have been reported for several cancer types. However, the US black population is younger than the white population, which may bias age comparisons that do not account for the populations at risk.

methodsWe analyzed Surveillance, Epidemiology, and End Results data for non-Hispanic blacks and non-Hispanic whites from 18 regions for the year 2010. We calculated crude mean ages at diagnosis among cases of 29 cancer types for whites and blacks. Separately, we calculated adjusted means that corrected for differences in population structure, which we obtained by fitting linear regression models to the ages at diagnosis with statistical weights specific to age and sex. Negative differences indicate younger ages in blacks, while positive differences indicate older ages in blacks. All statistical tests were two-sided.

resultsBased on crude means, blacks were diagnosed at younger ages than whites for nearly every cancer type. However, adjustment for population structure shifted the comparisons toward older ages among blacks, and only six statistically significant differences of three or more years remained. Blacks were younger than whites at diagnosis for Kaposi sarcoma (-10.2 years), male soft tissue cancer (-5.6), male anal cancer (-5.5), and non-Hodgkin's lymphoma (-3.7), but older for cervical cancer (+4.7 years) and female thyroid cancer (+3.3). Smaller differences (<3 years) were present for female breast, female colon, lung, pancreas, prostate, and uterine corpus cancers (all P ≤ .001).

conclusionsMost differences between blacks and whites in the age at cancer diagnosis are small. Large differences for a few cancer types may be driven by etiologic and subtype heterogeneity as well as disparities in access to care.

Indexed as

AgedAge FactorsBlack or African AmericanFemaleHumansIncidenceMaleMiddle AgedNeoplasmsSEER ProgramUnited StatesWhite People

Identifiers

PMID25638255
PMCPMC4326308
OpenAlexW2013599252

What OpenQuestion holds

Textmetadata
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.