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Veterinary journal (London, England : 1997)2023; 300-302; 106037; doi: 10.1016/j.tvjl.2023.106037

Deciphering reference intervals and clinical decision limits in equine endocrine diagnostic testing.

Abstract: Reference intervals (RIs) and clinical decision limits (CDLs) are frequently established to facilitate interpretation of values of endocrine biomarkers in the diagnosis of disease. Despite their commonplace use in clinical decision-making, these concepts can be confused. Comparing a test result with a RI provides an estimation as to whether or not the individual is healthy, whereas comparison with a CDL facilitates identification of individuals with a particular disease state or at greater risk of adverse clinical outcomes. In practice, there will also be a range of results for which the discriminative ability of the test is insufficient to inform a specific diagnostic decision. Including a range of uncertain test results, or 'grey zone', between positive and negative avoids the constraint of a binary decision in classifying an individual with a test value above (or below) a single cut-off value as diseased. This review will detail the application of both RIs and CDLs, including defining the range of uncertain test results, in the context of equine endocrinology.
Publication Date: 2023-10-11 PubMed ID: 37832629DOI: 10.1016/j.tvjl.2023.106037Google Scholar: Lookup
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Summary

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The research article explores the understanding and application of Reference Intervals (RIs) and Clinical Decision Limits (CDLs) in equine endocrine diagnostic testing. It explains that RIs help in estimating the health status of a horse using a test result comparison while CDLs aid in identifying horses with a specific disease or at risk of adverse clinical consequences.

Understanding Reference Intervals (RIs) and Clinical Decision Limits (CDLs)

  • The article stresses on the importance of correctly comprehending and applying RIs and CDLs in equine endocrine tests, in order to make informed and accurate clinical decisions.
  • RIs are used to estimate the health status of an individual. They are established to assist in interpreting the values of endocrine biomarkers when diagnosing diseases.
  • CDLs, on the other hand, are used to identify individuals with a specific disease or those at a greater risk of adverse clinical outcomes.

The Role of Uncertain Test Results or ‘Grey Zone’

  • The paper mentions that in the process of clinical examination, there will be a range of results which do not provide clear information to make a specific diagnostic decision. Such results are termed as ‘grey zone’ or uncertain test results.
  • Recognizing and incorporating this ‘grey zone’ between positive and negative results allows clinicians to avoid the rigidity of a binary decision which simply categorizes an individual with a test value higher (or lower) than a single cut-off point as diseased.

Practical Implications in Equine Endocrinology

  • The comprehensive review provides insights into the practical applications of both RIs and CDLs in the field of equine endocrinology.
  • With a nuanced understanding of these concepts, veterinarians and clinicians can better interpret test results to manage and prevent equine endocrine disorders more effectively.

Cite This Article

APA
Ireland J, McGowan C. (2023). Deciphering reference intervals and clinical decision limits in equine endocrine diagnostic testing. Vet J, 300-302, 106037. https://doi.org/10.1016/j.tvjl.2023.106037

Publication

ISSN: 1532-2971
NlmUniqueID: 9706281
Country: England
Language: English
Volume: 300-302
Pages: 106037
PII: S1090-0233(23)00088-6

Researcher Affiliations

Ireland, Joanne
  • Department of Equine Clinical Science, Faculty of Health and Life Sciences, The University of Liverpool, Leahurst, CH64 7TE Cheshire, UK. Electronic address: joirel@liverpool.ac.uk.
McGowan, Catherine
  • Department of Equine Clinical Science, Faculty of Health and Life Sciences, The University of Liverpool, Leahurst, CH64 7TE Cheshire, UK.

MeSH Terms

  • Animals
  • Horses
  • Reference Values
  • Diagnostic Techniques and Procedures
  • Biomarkers

Conflict of Interest Statement

Conflict of Interest Statement None of the authors of this paper has a financial or personal relationship with other people or organisations that could inappropriately influence or bias the content of the paper.

Citations

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