Evidence map›Paper›PMID 26863553›Full record

ArticleJournal of racial and ethnic health disparities2015

Colorectal Cancer Screening among Chinese, Cambodian, and Vietnamese Immigrants in Chicago.

Karen Kim, Edwin Chandrasekar, Helen Lam

Open access · bronzeAbstract read
PubMed Publisher
In one paragraph

Article in Journal of racial and ethnic health disparities, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.7field-weighted citation impact, top 27% 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

10 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Cancer Screening, Knowledge, and Fatalism among Chinese, Korean, and South Asian Residents of New York City.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2024
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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

3 authors at 1 institution in 1 country.

Karen KimThe University of Chicago Medicine, Chicago, IL, USA.
Edwin ChandrasekarThe University of Chicago Medicine, Chicago, IL, USA.
Helen LamThe University of Chicago Medicine, Chicago, IL, USA. hvallina@bsd.uchicago.edu.
University of Chicago · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Asian Americans are now the most rapidly growing minority group in the USA. Over 60 % of Asian Americans in the USA are immigrants. Cancer has been the leading cause of death among Asian Americans since 1980. Understanding the barriers to screening is essential to reduce the unnecessary burden of cancer. Little is known about colorectal cancer screening behavior among foreign-born Asian Americans and how socio-demographic factors may influence the behavior. Even less is known about disaggregated Asian subgroups. Using data from the Chicago Asian Community Survey, a local health assessment survey of three Asian subgroups in Chicago, Chinese, Cambodian, and Vietnamese, this study found that the colorectal cancer screening rate were much lower among foreign-born Asian Americans in Chicago (30 %) than the national rate for the general population (59 %). Furthermore, we studied disaggregated data to determine colorectal cancer screening differences between communities. Findings from this study provide a critical evidence base to inform future research and intervention designs.

Indexed as

AgedAsianCambodiaChicagoChinaColorectal NeoplasmsEarly Detection of CancerEmigrants and ImmigrantsHumansMiddle AgedSocioeconomic FactorsVietnamAsian immigrantsCambodianChineseColorectal Cancer ScreeningVietnamese

Identifiers

PMID26863553
OpenAlexW2093162948

What OpenQuestion holds

Textmetadata
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.