ArticleJournal of clinical microbiology2019
A Comprehensive Statistical Framework for Determination of Commutability, Accuracy, and Agreement in Clinical DNAemia Assays.
Article in Journal of clinical microbiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
3 citing papers in PubMed.
- Matrix Matters: Assessment of Commutability among BK Virus Assays and Standards.Journal of clinical microbiology · 2022Article
- Persistent Challenges of Interassay Variability in Transplant Viral Load Testing.Journal of clinical microbiology · 2020Review
- Impact of Fragmentation on Commutability of Epstein-Barr Virus and Cytomegalovirus Quantitative Standards.Journal of clinical microbiology · 2019Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Despite advances in the standardization of quantitative DNAemia tests and efforts to better understand and characterize the performance of reference materials in different assays, it remains unclear how the commutability performance of reference materials is related to intra- and interassay agreement. Building upon previous work, we describe a comprehensive framework to determine the relationship of commutability with assay accuracy and agreement. The use of this framework is illustrated using previously generated data regarding the performance of four quantitative Epstein-Bar virus (EBV) PCR assays with the WHO and ABI standards as examples. The use of these statistical tools can link the performance characteristics of one or more assays with predetermined clinical decision limits and may help improve the development, validation, and clinical utility of such DNAemia tests.
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