ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2025
Disaggregated Colorectal Cancer Mortality among Asian American Subgroups between 2005 and 2020.
Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
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.
Who cites it
4 citing papers in PubMed.
- Colorectal Cancer Outcomes Among Disaggregated Asian Subgroups: a 2006-2020 SEER Analysis.Digestive diseases and sciences · 2026Observational
- Financial Toxicity Among Disaggregated Asian American Cancer Survivors.JAMA network open · 2026Article
- Review
- [Racial differences in treatment and prognosis of gastric signet ring cell carcinoma: analysis based on SEER and TCGA databases].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors.
Funding
Abstract
backgroundColorectal cancer is the second leading cause of cancer death in Asian Americans. Asian Americans are a diverse, heterogeneous population composed of groups with differing cancer risk factors. Few prior studies have analyzed colorectal cancer mortality by disaggregated Asian racial subgroup.
methodsUsing 2005 to 2020 US national mortality records linked to American Community Survey one-year population estimates, we report age-standardized mortality rates per 100,000 person-years, standardized mortality ratios (SMR), and average annual percent change trends for the six largest Asian subgroups in a serial, cross-sectional study design. We compared these rates with non-Hispanic Whites. We stratified rates by sex, nativity, and colorectal cancer location (colon vs. rectum).
resultsAsian subgroups demonstrated substantial heterogeneity in colorectal cancer mortality. Relative to the non-Hispanic White group, Asian Indian Americans had the lowest rate [female SMR = 0.3; 95% confidence interval (CI), 0.3-0.3 and male SMR = 0.3; 95% CI, 0.3-0.3] and Japanese Americans the highest rate (female SMR = 0.9; 95% CI, 0.8-0.9 and male SMR = 0.9; 95% CI, 0.9-1.0). Chinese, Filipino, Korean, and Vietnamese Americans demonstrated mortality between Asian Indian and Japanese. Over the study period, most Asian subgroups had stable or decreasing mortality. However, both Korean and Vietnamese colorectal cancer mortality increased over the period. By the end of the study period, Korean Americans had the highest colorectal cancer mortality of any Asian subgroup.
conclusionsAsian subgroups demonstrate heterogeneity in patterns of colorectal cancer mortality, emphasizing the necessity of disaggregation in cancer research. IMPACT: Our study provides disaggregated Asian subgroup colorectal cancer mortality data, which may allow for targeted risk attenuation efforts.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.