Document Detail

The Need for Adequate QA/QC Measures for Se Larval Deformity Assessments: Implications for Tissue Residue Guidelines.
MedLine Citation:
PMID:  19348517     Owner:  NLM     Status:  Publisher    
Assessing the frequency and severity of larval fish deformities is a subjective exercise that is subject to considerable parameter uncertainty unless appropriate quality assurance/quality control measures are incorporated. This issue has received limited attention in the literature. Only one study was identified that contained adequate data to evaluate the reproducibility of larval deformity data. Parameter uncertainty was substantially larger than expected. There was poor reproducibility between observers for nearly all types and magnitudes of deformities; there were particularly large differences in how mild deformities were assessed. The reproducibility of the edema endpoint was the poorest of the four types of deformity evaluated. Specific recommendations for improving the QA/QC aspects of larval deformity assessments include blind and non-sequential labeling; explicit effort on the development and application of an a priori framework; internal QC checks to quantify the influence of sample preservatives, observer drift or multiple observers; and an external QC check of a minimum of 10% of all larval fish. Future Se reproductive studies should include an explicit uncertainty analysis and disclose raw deformity data to facilitate re-calculation of TRGs as the science in this area advances.
Blair Gordon McDonald; Peter M Chapman
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2009-4-6
Journal Detail:
Title:  Integrated environmental assessment and management     Volume:  -     ISSN:  1551-3793     ISO Abbreviation:  -     Publication Date:  2009 Apr 
Date Detail:
Created Date:  2009-4-7     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101234521     Medline TA:  Integr Environ Assess Manag     Country:  -    
Other Details:
Languages:  ENG     Pagination:  1     Citation Subset:  -    
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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