Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Redundancy of single diagnostic test evaluation.

K G Moons1, G A van Es, B C Michel

  • 1Julius Center for Patient Oriented Research, Utrecht University, The Netherlands.

Epidemiology (Cambridge, Mass.)
|May 7, 1999
PubMed
Summary

Single-test evaluations in diagnostic research can be misleading. Multivariable models, incorporating patient history and multiple tests like ultrasound and x-ray, provide a more accurate assessment of diagnostic value.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Influence of antidepressants on glycaemic control in patients with diabetes mellitus.

Pharmacoepidemiology and drug safety·2008
Same author

Endogenous sex hormones and C-reactive protein in healthy postmenopausal women.

Journal of internal medicine·2008
Same author

[Moderate alcohol consumption may be recommended for the prevention of heart attacks].

Nederlands tijdschrift voor geneeskunde·2008
Same author

Polytomous logistic regression analysis could be applied more often in diagnostic research.

Journal of clinical epidemiology·2008
Same author

T64A polymorphism in beta3-adrenergic receptor gene (ADRB3) and coronary heart disease: a case-cohort study and meta-analysis.

Journal of internal medicine·2007
Same author

Updating methods improved the performance of a clinical prediction model in new patients.

Journal of clinical epidemiology·2007

Area of Science:

  • Medical Diagnostics
  • Clinical Research Methodology

Background:

  • Diagnostic research often evaluates tests in isolation, not reflecting clinical practice where multiple data points are considered.
  • This disconnect can lead to misleading conclusions about a test's true utility.

Purpose of the Study:

  • To illustrate the drawbacks of single-test evaluation in diagnostic research.
  • To discuss principles for more effective diagnostic research using multivariable approaches.

Main Methods:

  • Analyzed data from 140 patients with suspected pulmonary embolism and inconclusive ventilation-perfusion scans.
  • Evaluated partial pressure of oxygen in arterial blood (PaO2), thorax x-ray, and leg ultrasound individually and within multivariable logistic regression models with ROC analyses.

Related Experiment Videos

Main Results:

  • Single-test evaluations suggested ultrasound was most informative.
  • Multivariable models showed similar added predictive value for thorax x-ray and ultrasound when combined with history and physical examination.
  • Single-test evaluations can be misleading compared to comprehensive diagnostic modeling.

Conclusions:

  • Diagnostic research should move beyond single-test evaluations.
  • Multivariable modeling, reflecting clinical work-up, is crucial for accurate assessment of diagnostic test value.
  • Logistic regression and ROC analyses are recommended for constructing and validating diagnostic models.