Literature DB >> 2213074

The use of risk factors in medical diagnosis: opportunities and cautions.

E J Boyko1, B W Alderman.   

Abstract

We discuss in this paper the extent to which disease risk factors may assist in the diagnostic process. We caution that disease risk factors need not be very sensitive or specific. Risk factor specificity and sensitivity may be further reduced if, in the former case, the risk factor is related to other illnesses having the same clinical presentation as the disease of interest, or if, in the latter case, the risk factor disappears with the onset of illness. We illustrate these points in a discussion of the utility of smoking as a diagnostic test for malignancy in two clinical situations, the patient with asymptomatic microscopic hematuria and the patient with a solitary pulmonary nodule. Risk factors hold great promise as aids to medical diagnosis, as this information is readily available to clinicians at little or no cost. Clinicians, however, should exercise caution when using risk factors of unproven diagnostic utility in medical diagnosis, as their presence may have little or no effect on disease probability.

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Year:  1990        PMID: 2213074     DOI: 10.1016/0895-4356(90)90068-z

Source DB:  PubMed          Journal:  J Clin Epidemiol        ISSN: 0895-4356            Impact factor:   6.437


  6 in total

1.  Targeting depression interviewing: an exercise in diagnostic reasoning.

Authors:  M V Conde; J W Williams; C D Mulrow
Journal:  J Gen Intern Med       Date:  1998-04       Impact factor: 5.128

2.  Improving CT prediction of treatment response in patients with metastatic colorectal carcinoma using statistical learning theory.

Authors:  Walker H Land; Dan Margolis; Ronald Gottlieb; Elizabeth A Krupinski; Jack Y Yang
Journal:  BMC Genomics       Date:  2010-12-01       Impact factor: 3.969

3.  Quantification of population benefit in evaluation of biomarkers: practical implications for disease detection and prevention.

Authors:  Xiaohong Li; Patricia L Blount; Brian J Reid; Thomas L Vaughan
Journal:  BMC Med Inform Decis Mak       Date:  2014-03-06       Impact factor: 2.796

4.  Applying measures of discriminatory accuracy to revisit traditional risk factors for being small for gestational age in Sweden: a national cross-sectional study.

Authors:  Sol Pía Juárez; Phillip Wagner; Juan Merlo
Journal:  BMJ Open       Date:  2014-07-30       Impact factor: 2.692

5.  The tyranny of the averages and the indiscriminate use of risk factors in public health: The case of coronary heart disease.

Authors:  Juan Merlo; Shai Mulinari; Maria Wemrell; S V Subramanian; Bo Hedblad
Journal:  SSM Popul Health       Date:  2017-08-18

6.  Evaluating the predictive performance of malaria antibodies and FCGR3B gene polymorphisms on Plasmodium falciparum infection outcome: a prospective cohort study.

Authors:  Duah Dwomoh; Bright Adu; Daniel Dodoo; Michael Theisen; Samuel Iddi; Thomas A Gerds
Journal:  Malar J       Date:  2020-08-27       Impact factor: 2.979

  6 in total

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