Evidence map›Paper›PMID 24492754›Full record

ArticleThe American journal of gastroenterology2014

Colorectal cancer incidence in Asian populations in California: effect of nativity and neighborhood-level factors.

Uri Ladabaum, Christina A Clarke, David J Press, Ajitha Mannalithara, Parvathi A Myer, Iona Cheng, Scarlett Lin Gomez

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The American journal of gastroenterology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 8 pooled it
2.2field-weighted citation impact, top 11% 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

43 citing papers in PubMed, 8 syntheses or guidelines pooled it, 64 citations in OpenAlex.

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  17. Area Socioeconomic Status and Early Onset Rectal Cancer in a Comprehensive Cancer Center: Evidence from Wisconsin.WMJ : official publication of the State Medical Society of Wisconsin · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Uri Ladabaum1] Division of Gastroenterology and Hepatology, Stanford University School of Medicine, Stanford, California, USA [2] Department of Medicine, Stanford University School of Medicine, Stanford, California, USA.
Christina A Clarke1] Department of Health Research and Policy, Stanford University School of Medicine, Stanford, California, USA [2] Cancer Prevention Institute of California, Fremont, California, USA.
David J PressCancer Prevention Institute of California, Fremont, California, USA.
Ajitha Mannalithara1] Division of Gastroenterology and Hepatology, Stanford University School of Medicine, Stanford, California, USA [2] Department of Medicine, Stanford University School of Medicine, Stanford, California, USA.
Parvathi A Myer1] Division of Gastroenterology and Hepatology, Stanford University School of Medicine, Stanford, California, USA [2] Department of Medicine, Stanford University School of Medicine, Stanford, California, USA.
Iona ChengCancer Prevention Institute of California, Fremont, California, USA.
Scarlett Lin Gomez1] Department of Health Research and Policy, Stanford University School of Medicine, Stanford, California, USA [2] Cancer Prevention Institute of California, Fremont, California, USA.
Stanford University · USCancer Prevention Institute of California · US

Funding

Translational Oncology Research Program (Project-005)P30CA124435 · NCI · STANFORD UNIVERSITY · PI Melinda L. Telli · 2007 to 2026
$71.4M
CALIFORNIA COORDINATED CANCER PREVENTION & CONTROL PROGRAMU58DP003862 · DP · CALIFORNIA STATE DEPT OF PUBLIC HEALTH · PI SNIPES, KURT P · 2012 to 2014
$31.5M
NCCDPHP CDC HHS U58 DP003862NCCDPHP CDC HHS U58DP003862-01NCI NIH HHS N01 PC035136NCI NIH HHS N01-PC-35136
6 · The paper itself

Abstract

objectivesHeritable and environmental factors may contribute to differences in colorectal cancer (CRC) incidence across populations. We capitalized on the resources of the California Cancer Registry (CCR) and California's diverse Asian population to perform a cohort study exploring the relationships between CRC incidence, nativity, and neighborhood-level factors across Asian subgroups.

methodsWe identified CRC cases in the CCR from 1990 to 2004 and calculated age-adjusted CRC incidence rates for non-Hispanic Whites and US-born vs. foreign-born Asian ethnic subgroups, stratified by neighborhood socioeconomic status (SES) and "ethnic enclave." Trends were studied with joinpoint analysis.

resultsCRC incidence was lowest among foreign-born South Asians (22.0/100,000; 95% confidence interval (CI): 19.7-24.5/100,000) and highest among foreign-born Japanese (74.6/100,000; 95% CI: 70.1-79.2/100,000). Women in all Asian subgroups except Japanese, and men in all Asian subgroups except Japanese and US-born Chinese, had lower CRC incidence than non-Hispanic Whites. Among Chinese men and Filipino women and men, CRC incidence was lower among foreign-born than US-born persons; the opposite was observed for Japanese women and men. Among non-Hispanic Whites, but not most Asian subgroups, CRC incidence decreased over time. CRC incidence was inversely associated with neighborhood SES among non-Hispanic Whites, and level of ethnic enclave among Asians.

conclusionsCRC incidence rates differ substantially across Asian subgroups in California. The significant associations between CRC incidence and nativity and residence in an ethnic enclave suggest a substantial effect of acquired environmental factors. The absence of declines in CRC incidence rates among most Asians during our study period may point to disparities in screening compared with Whites.

Indexed as

AsianEmigrants and ImmigrantsResidence CharacteristicsSocial ClassAdultAgedAged, 80 and overCaliforniaChinaCohort StudiesColorectal NeoplasmsFemaleHumansIncidenceJapanMale

Identifiers

PMID24492754
PMCPMC5746419
OpenAlexW1970684328

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.