Comparison of four different methods for reliability evaluation of ecotoxicity data: A case study of non-standard test data used in environmental risk assessments of pharmaceutical substances

被引:45
作者
Ågerstrand M. [1 ]
Breitholtz M. [1 ]
Rudén C. [1 ]
机构
[1] Department of Philosophy and the History of Technology, Royal Institute of Technology/Kungliga Tekniska Högskolan, 100 44 Stockholm
关键词
Chemical Oxygen Demand; Environmental Risk Assessment; Good Laboratory Practice; Acceptability Criterion; Evaluation Question;
D O I
10.1186/2190-4715-23-17
中图分类号
学科分类号
摘要
Background: Standard test data are still preferred and recommended for regulatory environmental risk assessments of pharmaceuticals even though data generated by non-standard tests could improve the scientific basis of risk assessments by providing relevant and more sensitive endpoints. The aim of this study was to investigate If non-standard ecotoxicity data can be evaluated systematically in risk assessments of pharmaceuticals. This has been done by evaluating the usefulness of four reliability evaluation methods, and by investigating whether recently published non-standard ecotoxicity studies from the open scientific literature fulfill the criteria that these methods propose. Results: The same test data were evaluated differently by the four methods in seven out of nine cases. The selected non-standard test data were considered reliable/acceptable in only 14 out of 36 cases. Conclusions: The four evaluation methods differ in scope, user friendliness, and how criteria are weighted and summarized. This affected the outcome of the data evaluation. The results suggest that there is room for improvements in how data are reported in the open scientific literature. Reliability evaluation criteria could be used as a checklist to ensure that all important aspects are reported and thereby increasing the possibility that the data could be used for regulatory risk assessment. © 2011 Marlene et al; Iicensee Springer.
引用
收藏
相关论文
共 39 条
  • [21] Nentwig G., Effects of pharmaceuticals on aquatic invertebrates. Part II: The antidepressant drug fluoxetine, Archives of Environmental Contamination and Toxicology, 52, pp. 163-170, (2007)
  • [22] Halm S., Pounds N., Maddix S., Rand-Weaver M., Sumpter J.P., Hutchinson T.H., Tyler C.R., Exposure to exogenous 17ß-oestradiol disrupts P450aromB mRNA expression in the brain and gonad of adult fathead minnows (Pimephales promelas), Aquatic Toxicology, 60, pp. 285-299, (2002)
  • [23] Mattson B., A voluntary environmental classification system for pharmaceutical substances, Drug Information Journal, 41, 2, pp. 187-191, (2007)
  • [24] Agerstrand M., Ruden C., Evaluation of the accuracy and consistency of the Swedish Environmental Classification and Information System for pharmaceuticals, Science of the Total Environment, 2010, 408, pp. 2327-2339
  • [25] Van Der Hoven N., How to measure no effect. Part III. Statistical aspects of NOEC, ECx and NEC estimates, Environmetrics, 8, pp. 225-261, (1997)
  • [26] Suter G.W., Abuse of hypothesis testing statistics in ecological risk assessment, Human and Ecological Risk Assessment, 2, 2, pp. 331-347, (1996)
  • [27] Newman M.C., What exactly are you inferring? A closer look at hypothesis testing, Environmental Toxicology and Chemistry, 27, pp. 1013-1019, (2008)
  • [28] Warne M.St.J., Van Dam R., NOEC and LOEC data should no longer be generated or used, Australasian Journal of Ecotoxicology, 14, 1, (2008)
  • [29] Van Leeuwen C.J., Vermelre T.G., Risk Assessment of Chemicals: An Introduction, (2007)
  • [30] Chapman P.M., Wang F., Janssen C., Persoone G., Allen H.E., Ecotoxicology of metals in aquatic sediments: Binding and release, bioavailability, risk assessment, and remediation, Canadian Journal of Fisheries and Aquatic Sciences, 55, 10, pp. 2221-2243, (1998)