Literature DB >> 18665454

The meaning of the opposition between the healthy and the pathological and its consequences.

Maël Lemoine1.   

Abstract

If the healthy and the pathological are not merely judgments qualifiers, but real phenomena, it must be possible to define both of them positively, which, in this context, means as factual contraries. On the other hand, only a privative definition, either of the pathological as 'non-healthy', or of the healthy as 'non-pathological', can rationally circumscribe all possible states of an organism. This fluctuation between two meanings of the 'healthy'-'pathological' opposition, factual vs. rational, characterizes the ordinary usage of these concepts and puts all philosophical definitions in a hopeless situation. Although a scientific definition may conceal this equivocation by adequately setting out the terms of the problem of discriminating between the 'healthy' and the 'pathological', it could explain some of the difficulties met in determining 'gold standards', in the choice of separators, and in the assessment of the diagnostic qualities of tests.

Mesh:

Year:  2008        PMID: 18665454     DOI: 10.1007/s11019-008-9163-x

Source DB:  PubMed          Journal:  Med Health Care Philos        ISSN: 1386-7423


  13 in total

Review 1.  Estimation of sensitivity and specificity of diagnostic tests and disease prevalence when the true disease state is unknown.

Authors:  C Enøe; M P Georgiadis; W O Johnson
Journal:  Prev Vet Med       Date:  2000-05-30       Impact factor: 2.670

2.  Assessing physicians' accuracy in diagnosing paediatric patients with acute abdominal pain: measuring accuracy for multiple diseases.

Authors:  N A Obuchowski; M J Goske; K E Applegate
Journal:  Stat Med       Date:  2001-11-15       Impact factor: 2.373

3.  A grey zone for quantitative diagnostic and screening tests.

Authors:  Joël Coste; Jacques Pouchot
Journal:  Int J Epidemiol       Date:  2003-04       Impact factor: 7.196

4.  An ROC-type measure of diagnostic accuracy when the gold standard is continuous-scale.

Authors:  Nancy A Obuchowski
Journal:  Stat Med       Date:  2006-02-15       Impact factor: 2.373

5.  Nonparametric estimation of ROC curves in the absence of a gold standard.

Authors:  Xiao-Hua Zhou; Pete Castelluccio; Chuan Zhou
Journal:  Biometrics       Date:  2005-06       Impact factor: 2.571

Review 6.  Evaluation of diagnostic tests without gold standards.

Authors:  S L Hui; X H Zhou
Journal:  Stat Methods Med Res       Date:  1998-12       Impact factor: 3.021

7.  Three-way ROCs.

Authors:  D Mossman
Journal:  Med Decis Making       Date:  1999 Jan-Mar       Impact factor: 2.583

Review 8.  Estimation of test error rates, disease prevalence and relative risk from misclassified data: a review.

Authors:  S D Walter; L M Irwig
Journal:  J Clin Epidemiol       Date:  1988       Impact factor: 6.437

9.  The inadequacy of binary models for the clinical reality of three-zone diagnostic decisions.

Authors:  A R Feinstein
Journal:  J Clin Epidemiol       Date:  1990       Impact factor: 6.437

Review 10.  Receiver-operating characteristic (ROC) plots: a fundamental evaluation tool in clinical medicine.

Authors:  M H Zweig; G Campbell
Journal:  Clin Chem       Date:  1993-04       Impact factor: 8.327

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