Evidence map›Paper›PMID 29805330›Full record

ArticleCalifornian journal of health promotion2010

Identifying the Causes of Cancer Health Disparities: Biologic and Non Biologic Determinants.

Keola K Beale

Open access · goldAbstract read
In one paragraph

Article in Californian journal of health promotion, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact, top 81% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. Knowledge and Attitudes of Guam Residents towards Cancer Clinical Trial Participation.International journal of environmental research and public health · 2022
    Article
  3. Biospecimen Education Among Pacific Islanders in Southern California.Journal of cancer education : the official journal of the American Association for Cancer Education · 2019
    Article
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

1 author.

Keola K BealeKapi'olani Medical Center.

Funding

WINCART: Weaving an Islander Network for Cancer Awareness, Research and TrainingU54CA153458 · NCI · CALIFORNIA STATE UNIVERSITY FULLERTON · PI TANJASIRI, SORA P · 2010 to 2014
$4.3M
NCI NIH HHS U54 CA153458
6 · The paper itself

Abstract

The causes of cancer health disparities amongst Pacific Islanders and other racial groups are complex and multifactorial. Both biologic and non biologic determinants have been identified as causal factors. Racial/ethnic classification can be used as a surrogate for non biologic determinants such as place of geographic origin, socioeconomic status, cultural practices, and diet. Given that non biologic and biologic determinants are not mutually exclusive, using racial/ethnic classification may be hypothesis generating and assist in the identification of biologic determinants such as infections, toxins, and/or environmental exposures that lead to carcinogenesis. This commentary provides several examples of cancer specific biologic determinants that may lead to cancer health disparities. It also discusses specific non biologic determinants of cancer health disparities that must be overcome in order to increase participation of underserved populations in clinical trial research. Taken together, these examples demonstrate the need to further our understanding of the determinants of cancer health disparities that can lead to the enactment of preventive measures and/or targeted therapies.

Indexed as

cancer clinical trial participationcancer health disparitiesnative HawaiiansPacific Islandersunderserved

Identifiers

PMID29805330
PMCPMC5966291
OpenAlexW2186198276

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.