Evidence map›Paper›PMID 30125340›Full record

ArticleCancer2018

Does socioeconomic status account for racial and ethnic disparities in childhood cancer survival?

Rebecca D Kehm, Logan G Spector, Jenny N Poynter, David M Vock, Sean F Altekruse, Theresa L Osypuk

Abstract read
In one paragraph

Article in Cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 88 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
88citing papers in PubMed, 3 pooled it
14.5field-weighted citation impact, top 1% 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

88 citing papers in PubMed, 3 syntheses or guidelines pooled it, 155 citations in OpenAlex.

  1. Pooled it
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  4. Article
  5. Article
  6. Observational
  7. Disparities in Rural-Urban Cancer Care Outcomes among Pediatric, Adolescent, and Young Adult Populations: A Comprehensive Narrative Review.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026
    Review
  8. Review
  9. Neonatal extracorporeal membrane oxygenation outcomes according to social determinants of health.Journal of perinatology : official journal of the California Perinatal Association · 2026
    Article
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28 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Rebecca D KehmDivision of Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis, Minnesota.ORCID 0000-0002-6089-6799
Logan G SpectorDivision of Epidemiology and Clinical Research, Department of Pediatrics, University of Minnesota, Minneapolis, Minnesota.
Jenny N PoynterDivision of Epidemiology and Clinical Research, Department of Pediatrics, University of Minnesota, Minneapolis, Minnesota.
David M VockDivision of Biostatistics, University of Minnesota School of Public Health, Minneapolis, Minnesota.
Sean F AltekruseNational Cancer Institute, Bethesda, Maryland.
Theresa L OsypukDivision of Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis, Minnesota.
University of Minnesota · USNational Heart Lung and Blood Institute · US

Funding

Translational Pediatric Cancer Epidemiology Research Training GrantT32CA099936 · NCI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI Logan G. Spector · 2004 to 2026
$5.1M
Minnesota Population Center Science and Technical CoreP2CHD041023 · NICHD · UNIVERSITY OF MINNESOTA · PI THERESA LOUISE OSYPUK · 2016 to 2026
$4.3M
National Institutes of Health Translational Pediatric Cancer Epidemiology Training T32CA099936NCI NIH HHS T32 CA099936NICHD NIH HHS P2C HD041023
6 · The paper itself

Abstract

backgroundFor many childhood cancers, survival is lower among non-Hispanic blacks and Hispanics in comparison with non-Hispanic whites, and this may be attributed to underlying socioeconomic factors. However, prior childhood cancer survival studies have not formally tested for mediation by socioeconomic status (SES). This study applied mediation methods to quantify the role of SES in racial/ethnic differences in childhood cancer survival.

methodsThis study used population-based cancer survival data from the Surveillance, Epidemiology, and End Results 18 database for black, white, and Hispanic children who had been diagnosed at the ages of 0 to 19 years in 2000-2011 (n = 31,866). Black-white and Hispanic-white mortality hazard ratios and 95% confidence intervals, adjusted for age, sex, and stage at diagnosis, were estimated. The inverse odds weighting method was used to test for mediation by SES, which was measured with a validated census-tract composite index.

resultsWhites had a significant survival advantage over blacks and Hispanics for several childhood cancers. SES significantly mediated the race/ethnicity-survival association for acute lymphoblastic leukemia, acute myeloid leukemia, neuroblastoma, and non-Hodgkin lymphoma; SES reduced the original association between race/ethnicity and survival by 44%, 28%, 49%, and 34%, respectively, for blacks versus whites and by 31%, 73%, 48%, and 28%, respectively, for Hispanics versus whites ((log hazard ratio total effect - log hazard ratio direct effect)/log hazard ratio total effect).

conclusionsSES significantly mediates racial/ethnic childhood cancer survival disparities for several cancers. However, the proportion of the total race/ethnicity-survival association explained by SES varies between black-white and Hispanic-white comparisons for some cancers, and this suggests that mediation by other factors differs across groups.

Indexed as

Health Status DisparitiesSocial ClassAdolescentAdultAge of OnsetCancer SurvivorsChildChild, PreschoolEthnicityFemaleHumansInfantInfant, NewbornMaleNeoplasmsRacial Groupscancer survivalchildhood cancermediationracial and ethnic disparitiessocioeconomic status

Identifiers

PMID30125340
PMCPMC6234050
OpenAlexW2888725125

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.