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Study design, size, and adequate exposure data as the crucial aspects in cancer risk assessment and implementation of the precautionary principle
V. Bencko, M. Tuček, J. M. Quinn
Language English Country Czech Republic
Document type Journal Article, Meta-Analysis, Multicenter Study
Digital library NLK
Source
NLK
Free Medical Journals
from 2004
ProQuest Central
from 2009-03-01 to 6 months ago
Medline Complete (EBSCOhost)
from 2006-03-01 to 6 months ago
Nursing & Allied Health Database (ProQuest)
from 2009-03-01 to 6 months ago
Health & Medicine (ProQuest)
from 2009-03-01 to 6 months ago
Public Health Database (ProQuest)
from 2009-03-01 to 6 months ago
ROAD: Directory of Open Access Scholarly Resources
from 1993
PubMed
33069184
DOI
10.21101/cejph.a6159
Knihovny.cz E-resources
- MeSH
- Risk Assessment MeSH
- Cohort Studies MeSH
- Humans MeSH
- Neoplasms * chemically induced epidemiology MeSH
- Case-Control Studies MeSH
- Research Design * MeSH
- Check Tag
- Humans MeSH
- Publication type
- Journal Article MeSH
- Meta-Analysis MeSH
- Multicenter Study MeSH
Traditional approaches and study design in cancer epidemiology have not been very successful in identifying and evaluating adequately the potential risk and/or protective factors associated with the disease. The main reasons for the failure are often due the small study sample size, and inadequate exposure information. In this paper, issues and approaches relevant to these two challenges are discussed. Multicentre study is proposed as a way to increase study size and to mitigate criticism about meta-analysis of independent studies. A multicentre study of large cohort or case-control studies also offer an exciting opportunity to study the contribution of epigenetic events that may be associated with lifestyle and environmental risk factors for human health. Optimizing methods for exposure assessment and how to reduce exposure to misclassification represent a difficult component in epidemiological studies. A potentially useful approach for improving exposure estimation is to rely on biomarkers of exposures. An example is provided to demonstrate how biomarkers of exposures could provide valuable information in addition to exposure measurements in traditional epidemiological studies. Finally, it is argued that risk assessment and the precautionary principle should not be viewed as conflicting paradigms but, rather, as a complementary approach for developing appropriate policies to address risks posed by exposure to carcinogens and a wide spectrum of other health hazards.
References provided by Crossref.org
Literatura
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