Evidence map›Paper›PMID 42377702›Full record

Observational studyDigestive diseases and sciences2026

Colorectal Cancer Outcomes Among Disaggregated Asian Subgroups: a 2006-2020 SEER Analysis.

Matthew Y Zhao, Jayraan Badiee, Christina P Wang, Folasade P May

Abstract readObservational Study
In one paragraph

Observational study in Digestive diseases and sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Matthew Y ZhaoDepartment of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Jayraan BadieeVatche and Tamar Manoukian Division of Digestive Diseases, Department of Medicine, David Geffen School of Medicine, Center for Health Sciences, UCLA, 650 Charles Young Drive South, Suite A2-125, Los Angeles, CA, 90095-6900, USA.
Christina P WangDivision of Gastroenterology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Folasade P MayVatche and Tamar Manoukian Division of Digestive Diseases, Department of Medicine, David Geffen School of Medicine, Center for Health Sciences, UCLA, 650 Charles Young Drive South, Suite A2-125, Los Angeles, CA, 90095-6900, USA. fmay@mednet.ucla.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite varying colorectal cancer (CRC) outcomes across distinct Asian American subgroups, Asian individuals are often assessed in aggregate. We performed disaggregated analyses to assess for heterogeneity in CRC outcomes across the six largest Asian origin groups in the United States.

methodsWe identified adults with a primary diagnosis of CRC using surveillance, epidemiology, and end results (SEER) registry data from 2006 to 2020. Individuals from the six largest Asian origin groups and a referent non-Hispanic White (NHW) group were included. We identified predictors for regional or distant stage CRC at the time of diagnosis using multivariable logistic regression and predictors for CRC related death using multivariable Cox proportional hazards models.

resultsOur cohort included 25,379 Asian Americans, who identified as Chinese (6585 [25.9%]), Filipino (6399 [25.2%]), Japanese (4309 [17.0%]), Vietnamese (3047 [12.0%]), Korean (2964 [11.7%]), and Asian Indian/Pakistani (2075 [8.2%]), in addition to 234,938 NHW individuals. In our multivariable logistic regression, Vietnamese (aOR 1.23; 95% CI 1.14-1.32), Korean (aOR 1.20; 95% CI 1.11-1.30), and Asian Indian/Pakistani (aOR 1.10; 95% CI 1.01-1.21) individuals had increased odds of regional or distant stage at time of diagnosis compared to NHW individuals. In our multivariable Cox model, Chinese (aHR 0.92; 95% CI 0.88-0.97) and Asian Indian/Pakistani (aHR 0.88; 95% CI 0.80-0.97) individuals had decreased likelihood of CRC related death compared to NHW individuals. Lower neighborhood-level socioeconomic status by Yost Index was associated with worse CRC outcomes in both multivariable models.

conclusionsIn this national cancer registry analysis, marked heterogeneity was observed in CRC stage and survival across disaggregated Asian American groups. Disaggregated analyses are key to accurately survey CRC trends, identify groups at highest risk, and develop culturally relevant approaches to CRC prevention and care.

Indexed as

AsianColorectal NeoplasmsAgedAsiaFemaleHumansMaleMiddle AgedRisk FactorsSEER ProgramUnited StatesColorectal cancerDisaggregationEpidemiologyHealth disparities

Identifiers

PMID42377702
PMCPMC13558357

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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.