ABSTRACT
Current methods of human health risk assessment may lack transparency in respect of identification, review, and synthesis of potentially relevant human and animal evidence. The nature, degree, and source of uncertainties are often unclear. This article aims to demonstrate the contribution that systematic review and meta-analysis methods can make to providing more structured, transparent, and systematic risk assessments. We focus on disparities between five risk assessments for neurobehavioral effects of manganese, and then illustrate advantages of a systematic approach. Fifty-five human epidemiological studies and 37 animal experiments were identified. Where appropriate, meta-analysis methods demonstrated consistent adverse effects associated with manganese exposure across species. In particular, there was reduced activity in subjects exposed to manganese, although exposed rats tended to be more active than controls. Limitations of exposure measurement and reporting restricted use of more quantitative methods of evidence synthesis. From a methodological viewpoint, we conclude that systematic review and meta-analysis methods can contribute to a more systematic and transparent human health risk assessment making more efficient use of available evidence, compared to current methods of risk assessment. More complex methods could encompass further differences between relevant studies and so further improve the risk assessment process.
ACKNOWLEDGMENTS
We thank Prof. Alan Boobis from the Division of Medicine at Imperial College London for useful comments on this article. Jaime Peters was funded through a UK Department of Health Evidence Synthesis Award during this work. The funding source had no role in any aspect of the study.
Notes
* Two experiments (oral and injection) are reported in one article.
1 Because standardisedmeandifference = mean score in control group- meanscoreinexposedgroup/samplestandarddeviation, and a positive score indicates stronger feelings of the symptom of interest
* Present address: School of Mathematical Sciences, Queensland University of Technology, Australia.