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A Meta-Analysis Evaluating the Relationship between Aquatic Contaminants and Chironomid Larval Deformities in Laboratory Studies

Overview of attention for article published in Environmental Science & Technology, November 2016
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Title
A Meta-Analysis Evaluating the Relationship between Aquatic Contaminants and Chironomid Larval Deformities in Laboratory Studies
Published in
Environmental Science & Technology, November 2016
DOI 10.1021/acs.est.6b04020
Pubmed ID
Authors

Bryant S. Gagliardi, Vincent J. Pettigrove, Sara M. Long, Ary A. Hoffmann

Abstract

Chironomid larval deformities have been widely investigated as an aquatic pollution toxicity endpoint. Field chironomid surveys often show a spatial association between contaminants and deformities, suggesting contaminants cause deformities. However, over 40 years of laboratory assays have not been able to confirm this causality. We therefore conducted a review of the literature and meta-analysis, in order to A) assess whether trends across assays indicated dose-response effects, B) characterize the consistency of results, and C) investigate whether experimental issues and publication bias were contributing to inconsistency and/or reducing confidence in results. The experimental issues we investigated were extraneous non-chemical laboratory stressors (which may mask or interact with chemical effects), and mortality (which can confound deformity results). Our meta-analysis of the most commonly tested chemicals suggested dose-response effects for lead and copper, but not zinc. However, we also found substantial inconsistency across studies. Both mortality and extraneous stressors were potentially contributing to this inconsistency, reducing confidence in most published data. We observed no evidence of publication bias. We conclude that any causal link between contaminants and deformities remains uncertain, and suggest improved experimental and data reporting procedures to better assess this relationship.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 23%
Student > Bachelor 6 19%
Student > Master 4 13%
Researcher 2 6%
Professor 1 3%
Other 2 6%
Unknown 9 29%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 26%
Environmental Science 6 19%
Earth and Planetary Sciences 3 10%
Biochemistry, Genetics and Molecular Biology 2 6%
Social Sciences 1 3%
Other 0 0%
Unknown 11 35%