Evidence map›Paper›PMID 22568674›Full record

ArticleHealth services research2012

Integrating multiple social statuses in health disparities research: the case of lung cancer.

David R Williams, Emily Z Kontos, K Viswanath, Jennifer S Haas, Christopher S Lathan, Laura E MacConaill, Jarvis Chen, John Z Ayanian

Abstract read
In one paragraph

Article in Health services research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed, 2 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

63 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Ethnic disparities in survival and progression among EGFR-mutated adenocarcinoma of lung cancer patients treated with tyrosine kinase inhibitors: a systematic review and meta-analysis.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025
    Pooled it
  2. Pooled it
  3. Article
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  9. Spatio-Temporal Variation of Lung Cancer in Crete, 1992-2013. Economic or Health Crisis?International journal of environmental research and public health · 2022
    Article
  10. Article
  11. New confinement index and new perspective for comparing countries - COVID-19.Computer methods and programs in biomedicine · 2021
    Article
  12. Article
  13. Predicting Lung Cancer in the United States: A Multiple Model Examination of Public Health Factors.International journal of environmental research and public health · 2021
    Article
  14. Article
  15. Article
  16. The Intersection of Rural Residence and Minority Race/Ethnicity in Cancer Disparities in the United States.International journal of environmental research and public health · 2021
    Review
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3 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

8 authors.

David R WilliamsDepartment of Society, Human Development and Health, Harvard University, School of Public Health, 677 Huntington Avenue, 6th Floor, Boston, MA, 02215, USA. ekontos@hsph.harvard.edu
Emily Z Kontos
K Viswanath
Jennifer S Haas
Christopher S Lathan
Laura E MacConaill
Jarvis Chen
John Z Ayanian

Funding

HARVARD CLINICAL AND TRANSLATIONAL SCIENCE CENTER (UL1)UL1RR025758 · NCRR · HARVARD MEDICAL SCHOOL · PI NADLER, LEE MARSHALL · 2008 to 2011
$91.4M
Statistical Methods for Analysis of Massive Genetic and Genomic Data in Cancer ResearchR35CA197449 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI XIHONG LIN · 2015 to 2026
$10.9M
TRAINING AND CAREER DEVELOPMENTP50CA148596 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI MYERSON, MATTHEW · 2010 to 2014
$10.7M
Statistical Methods for the Spatio-Temporal Assessment of Social Disparities in CancerP01CA134294 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI HANEUSE, SEBASTIEN, HERNAN, MIGUEL · 2008 to 2017
$6.8M
NCI NIH HHS 1P50CA148596NCI NIH HHS P01 CA134294NCI NIH HHS P50 CA148596NCI NIH HHS R35 CA197449NCRR NIH HHS UL1 RR025758
6 · The paper itself

Abstract

objectiveTo illustrate the complex patterns that emerge when race/ethnicity, socioeconomic status (SES), and gender are considered simultaneously in health care disparities research and to outline the needed research to understand them by using disparities in lung cancer risks, treatment, and outcomes as an example. PRINCIPAL

findingsSES, gender, and race/ethnicity are social categories that are robust predictors of variations in health and health services utilization. These are usually considered separately, but intersectionality theory indicates that the impact of each depends on the others. Each reflects historically and culturally contingent variations in social, economic, and political status. Distinct patterns of risk and resilience emerge at the intersections of multiple social categories and shape the experience of health, health care access, utilization, quality, and outcomes where these categories intersect. Intersectional approaches call for greater attention to understand social processes at multiple levels of society and require the collection of relevant data and utilization of appropriate analytic approaches to understand how multiple risk factors and resources combine to affect the distribution of disease and its management.

conclusionsUnderstanding how race/ethnicity, gender, and SES are interactive, interdependent, and social identities can provide new knowledge to enhance our efforts to effectively address health disparities.

Indexed as

Social ClassCultureEmigration and ImmigrationEthnicityGenetic Predisposition to DiseaseHealthcare DisparitiesHealth Services ResearchHumansLung NeoplasmsPrejudiceRacial GroupsResearch DesignRisk FactorsSex FactorsSmokingSocial Identification

Identifiers

PMID22568674
PMCPMC3418828

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.