Literature DB >> 15327002

Normality: the unreachable star?

Claude Petitclerc1.   

Abstract

The concept of reference values is widely accepted, but their application has been quite lax over the years. This is due primarily to the difficulty of properly selecting and documenting samples from a reference population. In the absence of a clear description of reference individuals, reference values lose their meaning, are ambiguous at best, and are often confused with decision limits. The clinical medicine perspective of reference values is to rule out diseases and to define health, while that of preventive medicine is to appreciate the state of health. Defining reference limits and normality in this context is a great challenge. Advances in the fields of genomics and proteomics and the rapid pace of technological advances help highlight the biological diversity among individuals. However, there is a great need for reference values that are representative of healthy humans and presented in a manner that they can be utilized by all laboratories. In addition, as secure information technology becomes available, the goal of using an individual as their own reference during a lifetime is now possible, provided that consistency of databases is ensured.

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Mesh:

Year:  2004        PMID: 15327002     DOI: 10.1515/CCLM.2004.119

Source DB:  PubMed          Journal:  Clin Chem Lab Med        ISSN: 1434-6621            Impact factor:   3.694


  4 in total

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Journal:  Adv Nutr       Date:  2016-01-15       Impact factor: 8.701

2.  Delineation of concentration ranges and longitudinal changes of human plasma protein variants.

Authors:  Olgica Trenchevska; David A Phillips; Randall W Nelson; Dobrin Nedelkov
Journal:  PLoS One       Date:  2014-06-23       Impact factor: 3.240

3.  Complete blood count reference intervals from a healthy adult urban population in Kenya.

Authors:  Geoffrey Omuse; Daniel Maina; Jane Mwangi; Caroline Wambua; Kiran Radia; Alice Kanyua; Elizabeth Kagotho; Mariza Hoffman; Peter Ojwang; Zul Premji; Kiyoshi Ichihara; Rajiv Erasmus
Journal:  PLoS One       Date:  2018-06-07       Impact factor: 3.240

4.  Extracting physician group intelligence from electronic health records to support evidence based medicine.

Authors:  Griffin M Weber; Isaac S Kohane
Journal:  PLoS One       Date:  2013-05-29       Impact factor: 3.240

  4 in total

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