Evidence map›Paper›PMID 20940276›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2010

Disparities in liver cancer incidence by nativity, acculturation, and socioeconomic status in California Hispanics and Asians.

Ellen T Chang, Juan Yang, Theresa Alfaro-Velcamp, Samuel K S So, Sally L Glaser, Scarlett Lin Gomez

Open access · bronzeAbstract read
In one paragraph

Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
75citing papers in PubMed, 2 pooled it
1.5field-weighted citation impact, top 17% 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

75 citing papers in PubMed, 2 syntheses or guidelines pooled it, 97 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Gastric cancer incidence among Hispanics in California: patterns by time, nativity, and neighborhood characteristics.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2012
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  15. Structural Racism, Lifestyle Behaviors, and Obesity-related Cancers among Black and Hispanic/Latino Adults in the United States: A Narrative Review.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2023
    Review
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  20. Mediating Effects of Neighborhood-Level Socioeconomic Deprivation on the Association Between Race/Ethnicity and Advanced Hepatocellular Carcinoma.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2022
    Article

15 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

6 authors at 4 institutions in 1 country.

Ellen T ChangCancer Prevention Institute of California, 2201 Walnut Avenue, Suite 300, Fremont, CA 94538, USA. ellen@cpic.org
Juan Yang
Theresa Alfaro-Velcamp
Samuel K S So
Sally L Glaser
Scarlett Lin Gomez
Palo Alto University · USSonoma State University · USCancer Prevention Institute of California · USStanford University · US

Funding

NCI NIH HHS N01 PC035136NCI NIH HHS N01 PC035139NCI NIH HHS N01-PC-35136NCI NIH HHS N01-PC-35139NCI NIH HHS N02 PC015105PHS HHS U55/CCR921930-02
6 · The paper itself

Abstract

backgroundAsians and Hispanics have the highest incidence rates of liver cancer in the United States, but little is known about how incidence patterns in these largely immigrant populations vary by nativity, acculturation, and socioeconomic status (SES). Such variations can identify high-priority subgroups for prevention and monitoring.

methodsIncidence rates and rate ratios (IRR) by nativity among 5,400 Hispanics and 5,809 Asians diagnosed with liver cancer in 1988-2004 were calculated in the California Cancer Registry. Neighborhood ethnic enclave status and SES were classified using 2000 U.S. Census data for cases diagnosed in 1998-2002.

resultsForeign-born Hispanic males had significantly lower liver cancer incidence rates than U.S.-born Hispanic males in 1988-2004 (e.g., IRR = 0.54, 95% confidence interval [CI] = 0.50-0.59 in 1997-2004), whereas foreign-born Hispanic females had significantly higher rates in 1988-1996 (IRR = 1.42, 95% CI = 1.18-1.71), but not 1997-2004. Foreign-born Asian males and females had up to 5-fold higher rates than the U.S.-born. Among Hispanic females, incidence rates were elevated by 21% in higher-enclave versus lower-enclave neighborhoods, and by 24% in lower- versus higher-SES neighborhoods. Among Asian males, incidence rates were elevated by 23% in higher-enclave neighborhoods and by 21% in lower-SES neighborhoods. In both racial/ethnic populations, males and females in higher-enclave, lower-SES neighborhoods had higher incidence rates.

conclusionsNativity, residential enclave status, and neighborhood SES characterize Hispanics and Asians with significantly unequal incidence rates of liver cancer, implicating behavioral or environmental risk factors and revealing opportunities for prevention. IMPACT: Liver cancer control efforts should especially target foreign-born Asians, U.S.-born Hispanic men, and residents of lower-SES ethnic enclaves.

Indexed as

Social ClassAge DistributionAsianCaliforniaFemaleHispanic or LatinoHumansIncidenceLiver NeoplasmsMaleRegistries

Identifiers

PMID20940276
PMCPMC3005535
OpenAlexW2070695456

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.