Literature DB >> 8577954

Guidelines for application of meta-analysis in environmental epidemiology. ISLI Risk Science Institute.

A Blair1, J Burg, J Foran, H Gibb, S Greenland, R Morris, G Raabe, D Savitz, J Teta, D Wartenberg.   

Abstract

The use of meta-analysis in environmental epidemiology can enhance the value of epidemiologic data in debates about environmental health risks. Meta-analysis may be particularly useful to formally examine sources of heterogeneity, to clarify the relationship between environmental exposures and health effects, and to generate information beyond that provided by individual studies or a narrative review. However, meta-analysis may not be useful when the relationship between exposure and disease is obvious, when there are only a few studies of the key health outcomes, or when there is substantial confounding or other biases which cannot be adjusted for in the analysis. Recent increases in the use of meta-analysis in environmental epidemiology have highlighted the need for guidelines for the application of the technique. Guidelines, in the form of desirable and undesirable attributes, are presented in this paper for various components of a meta-analysis including study identification and selection; data extraction and analysis; and interpretation, presentation, and communication of results. Also discussed are the appropriateness of the use of meta-analysis in environmental health studies and when meta-analysis should or should not be used.

Mesh:

Year:  1995        PMID: 8577954     DOI: 10.1006/rtph.1995.1084

Source DB:  PubMed          Journal:  Regul Toxicol Pharmacol        ISSN: 0273-2300            Impact factor:   3.271


  16 in total

Review 1.  Enhancing the evidence base for health impact assessment.

Authors:  J Mindell; A Boaz; M Joffe; S Curtis; M Birley
Journal:  J Epidemiol Community Health       Date:  2004-07       Impact factor: 3.710

Review 2.  Methods for assessing the extent of exposure and effects of air pollution.

Authors:  M Krzyzanowski
Journal:  Occup Environ Med       Date:  1997-03       Impact factor: 4.402

3.  Letter regarding Zhu et al. entitled "Assessment of the association between XRCC1 Arg399Gln polymorphism and glioma susceptibility".

Authors:  Jue-Yu Zhou; Rong Shi; Lei Jiang; Ye Zeng; Wen-Li Ma
Journal:  Tumour Biol       Date:  2014-04-09

Review 4.  Occupational trichloroethylene exposure and non-Hodgkin's lymphoma: a meta-analysis and review.

Authors:  J H Mandel; M A Kelsh; P J Mink; D D Alexander; R M Kalmes; M Weingart; L Yost; M Goodman
Journal:  Occup Environ Med       Date:  2006-04-27       Impact factor: 4.402

5.  Residential magnetic fields and childhood leukemia: a meta-analysis.

Authors:  D Wartenberg
Journal:  Am J Public Health       Date:  1998-12       Impact factor: 9.308

Review 6.  Trichloroethylene and cancer: systematic and quantitative review of epidemiologic evidence for identifying hazards.

Authors:  Cheryl Siegel Scott; Jennifer Jinot
Journal:  Int J Environ Res Public Health       Date:  2011-11-09       Impact factor: 3.390

Review 7.  Review of the epidemiologic literature on EMF and Health.

Authors:  I C Ahlbom; E Cardis; A Green; M Linet; D Savitz; A Swerdlow
Journal:  Environ Health Perspect       Date:  2001-12       Impact factor: 9.031

8.  Association between the XRCC1 polymorphisms and glioma risk: a meta-analysis of case-control studies.

Authors:  Lei Jiang; Xiao Fang; Yi Bao; Jue-Yu Zhou; Xiao-Yan Shen; Mao-Hua Ding; Yi Chen; Guo-Han Hu; Yi-Cheng Lu
Journal:  PLoS One       Date:  2013-01-30       Impact factor: 3.240

Review 9.  A meta-analysis of occupational trichloroethylene exposure and liver cancer.

Authors:  Dominik D Alexander; Michael A Kelsh; Pamela J Mink; Jeffrey H Mandel; Rupa Basu; Michal Weingart
Journal:  Int Arch Occup Environ Health       Date:  2007-05-10       Impact factor: 2.851

Review 10.  Cancer risk assessment of extremely low frequency electric and magnetic fields: a critical review of methodology.

Authors:  J McCann
Journal:  Environ Health Perspect       Date:  1998-11       Impact factor: 9.031

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