Literature DB >> 16188041

Medical concepts related to individual risk are better explained with "plausibility" rather than "probability".

Enzo Grossi1.   

Abstract

BACKGROUND: The concept of risk has pervaded medical literature in the last decades and has become a familiar topic, and the concept of probability, linked to binary logic approach, is commonly applied in epidemiology and clinical medicine. The application of probability theory to groups of individuals is quite straightforward but can pose communication challenges at individual level. Few articles by the way have tried to focus the concept of "risk" at the individual subject level rather than at population level. DISCUSSION: The author has reviewed the conceptual framework which has led to the use of probability theory in the medical field in a time when the principal causes of death were represented by acute disease often of infective origin. In the present scenario, in which chronic degenerative disease dominate and there are smooth transitions between health and disease the use of fuzzy logic rather than binary logic would be more appropriate. The use of fuzzy logic in which more than two possible truth-value assignments are allowed overcomes the trap of probability theory when dealing with uncertain outcomes, thereby making the meaning of a certain prognostic statement easier to understand by the patient.
SUMMARY: At individual subject level the recourse to the term plausibility, related to fuzzy logic, would help the physician to communicate to the patient more efficiently in comparison with the term probability, related to binary logic. This would represent an evident advantage for the transfer of medical evidences to individual subjects.

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Mesh:

Year:  2005        PMID: 16188041      PMCID: PMC1262702          DOI: 10.1186/1471-2261-5-31

Source DB:  PubMed          Journal:  BMC Cardiovasc Disord        ISSN: 1471-2261            Impact factor:   2.298


  6 in total

1.  Statistical versus fuzzy measures of variable interaction in patients with stroke.

Authors:  C M Helgason; D S Malik; S C Cheng; T H Jobe; J N Mordeson
Journal:  Neuroepidemiology       Date:  2001-05       Impact factor: 3.282

2.  Fuzzy epidemics.

Authors:  Eduardo Massad; Neli Regina Siqueira Ortega; Cláudio José Struchiner; Marcelo Nascimento Burattini
Journal:  Artif Intell Med       Date:  2003-11       Impact factor: 5.326

Review 3.  Fuzzy logic and causal reasoning with an 'n' of 1 for diagnosis and treatment of the stroke patient.

Authors:  Cathy M Helgason; Thomas H Jobe
Journal:  Expert Rev Neurother       Date:  2004-03       Impact factor: 4.618

4.  Fuzzy logic and continuous cellular automata in warfarin dosing of stroke patients.

Authors:  Cathy M Helgason; Thomas H Jobe
Journal:  Curr Treat Options Cardiovasc Med       Date:  2005-07

5.  Treating individuals 3: from subgroups to individuals: general principles and the example of carotid endarterectomy.

Authors:  Peter M Rothwell; Ziyah Mehta; Sally C Howard; Sergei A Gutnikov; Charles P Warlow
Journal:  Lancet       Date:  2005 Jan 15-21       Impact factor: 79.321

Review 6.  The application of fuzzy logic to the prescription of antithrombotic agents in the elderly.

Authors:  Cathy M Helgason
Journal:  Drugs Aging       Date:  2004       Impact factor: 3.923

  6 in total
  6 in total

1.  Practice guidelines and clinical risk assessment models: is it time to reform?

Authors:  Nariman Sepehrvand; Firouz Ghaderi Pakdel; Mohammad Hosein Rahimi-Rad; Babak Moosavi-Toomatari; Shahrzad Bazargan-Hejazi
Journal:  BMC Med Inform Decis Mak       Date:  2011-10-18       Impact factor: 2.796

2.  Risk analyses in the intersection between patient and workplace safety: A case study of hazids in para-clinical supporting systems in specialized health care.

Authors:  Marianne Palm; Leif Moen; Geir Sverre Braut
Journal:  SAGE Open Med       Date:  2020-11-27

3.  The Framingham study and treatment guidelines for stroke prevention.

Authors:  Enzo Grossi
Journal:  Curr Treat Options Cardiovasc Med       Date:  2008-06

4.  How artificial intelligence tools can be used to assess individual patient risk in cardiovascular disease: problems with the current methods.

Authors:  Enzo Grossi
Journal:  BMC Cardiovasc Disord       Date:  2006-05-03       Impact factor: 2.298

5.  General practice needs further development of theoretical knowledge.

Authors:  Geir Sverre Braut; Svein R Kjosavik
Journal:  Scand J Prim Health Care       Date:  2019-07-16       Impact factor: 2.581

Review 6.  Mathematical biomarkers for the autonomic regulation of cardiovascular system.

Authors:  Luciana A Campos; Valter L Pereira; Amita Muralikrishna; Sulayma Albarwani; Susana Brás; Sónia Gouveia
Journal:  Front Physiol       Date:  2013-10-07       Impact factor: 4.566

  6 in total

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