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 Concept Videos

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

520
Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
520
Sensitivity, Specificity, and Predicted Value01:13

Sensitivity, Specificity, and Predicted Value

1.7K
In healthcare diagnostics, laboratory tests play a crucial role in identifying and diagnosing a wide range of medical conditions. However, interpreting test results is not always straightforward. An abnormal test result does not always confirm the presence of a disease, just as a normal result does not guarantee its absence. To assess the reliability of these diagnostic tools, healthcare practitioners rely on two key statistical indicators: sensitivity and specificity.
Sensitivity is the...
1.7K
Receiver Operating Characteristic Plot01:15

Receiver Operating Characteristic Plot

569
A ROC (Receiver Operating Characteristic) plot is a graphical tool used to assess the performance of a binary classification model by illustrating the trade-off between sensitivity (true positive rate) and specificity (false positive rate). By plotting sensitivity against 1 - specificity across various threshold settings, the ROC curve shows how well the model distinguishes between classes, with a curve closer to the top-left corner indicating a more accurate model. The area under the ROC curve...
569
Formulating and Validating Nursing Diagnosis I01:26

Formulating and Validating Nursing Diagnosis I

4.3K
A nursing diagnosis is written when the nurse recognizes a cluster of essential patient data indicating health problems treated with independent nursing interventions. The standardized terminologies of a nursing diagnosis help nurses identify and treat patients' problems. Every electronic health record that uses nursing diagnosis must employ standard diagnostic terminology. Developing an efficient, individualized care plan begins with accurate nursing diagnoses.
There are thirteen domains...
4.3K
Hazard Ratio01:12

Hazard Ratio

687
The hazard ratio (HR) is a widely used measure in clinical trials to compare the risk of events, such as death or disease recurrence, between two groups over time. It reflects the ratio of hazard rates—the instantaneous risk of the event occurring—between a treatment group and a control group. This measure provides valuable insights into the relative effectiveness of a treatment by assessing how the risk of an event differs between the two groups.
For example, in a clinical trial...
687
Documentation of Nursing Diagnosis01:10

Documentation of Nursing Diagnosis

1.9K
The nurse documents nursing diagnoses and enters them into the patient record. The identified patient's nursing diagnosis is either written out with a plan of care or entered into the electronic health record.
In some settings, data-driven computerized decision support systems are in place, allowing for more accurate nursing diagnoses. The database within one of these systems includes diagnostic labels defining characteristics, activities, and indicators for nursing. A nurse enters...
1.9K

You might also read

Related Articles

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

Sort by
Same author

Enhancing clinical utility of AI-based antimicrobial resistance models: a perspective.

mBio·2026
Same author

Standardized numbering and alignment of the KPC family of β-lactamases.

Antimicrobial agents and chemotherapy·2026
Same author

Role of Ambler Position 104 in Defining Substrate Specificity in the KPC Family of β-Lactamases.

ACS infectious diseases·2026
Same author

Cryptic Binding Pockets in PDC‑3 β‑Lactamase Modulate Resistance Profiles.

JACS Au·2026
Same author

Structural and Kinetic Basis for the Rational Design of Next-Generation β-Lactamase Inhibitors.

Journal of medicinal chemistry·2026
Same author

Optimizing target inactivation to treat multidrug-resistant <i>Escherichia coli</i> with NDM and PBP3 mutations: "going the extra mile".

Antimicrobial agents and chemotherapy·2026
Same journal

Antibiotic Treatment Duration for Uncomplicated Monomicrobial Enterococcal Bloodstream Infection: A Multicenter Target Trial Emulation.

Clinical infectious diseases : an official publication of the Infectious Diseases Society of America·2026
Same journal

Larger Blood Volume Increases Detection of Fastidious Mycobacteria and Fungi in Blood Culture.

Clinical infectious diseases : an official publication of the Infectious Diseases Society of America·2026
Same journal

Anticalcitonin: Limited utility of a context-dependent biomarker demonstrated in another real-world data set.

Clinical infectious diseases : an official publication of the Infectious Diseases Society of America·2026
Same journal

Procalcitonin Testing in Community-Acquired Pneumonia.

Clinical infectious diseases : an official publication of the Infectious Diseases Society of America·2026
Same journal

Wanted: A Relevant Correlate of Protection for Dengue Vaccines.

Clinical infectious diseases : an official publication of the Infectious Diseases Society of America·2026
Same journal

Safety and Immunogenicity of the Live-Attenuated Quadrivalent Dengue Vaccine V181 Compared With Butantan-DV Among Healthy Adults in Brazil: A Randomized, Double-Blind, Phase 2 Trial.

Clinical infectious diseases : an official publication of the Infectious Diseases Society of America·2026
See all related articles

Related Experiment Video

Updated: Mar 21, 2026

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
07:31

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

8.2K

Benefit-risk Evaluation for Diagnostics: A Framework (BED-FRAME).

Scott R Evans1, Gene Pennello2, Norberto Pantoja-Galicia2

  • 1Department of Biostatistics Center for Biostatistics in AIDS Research, Harvard T. H. Chan School of Public Health, Boston, Massachusetts.

Clinical Infectious Diseases : an Official Publication of the Infectious Diseases Society of America
|May 20, 2016
PubMed
Summary
This summary is machine-generated.

A new framework, Benefit-Risk Evaluation of Diagnostics: A Framework (BED-FRAME), offers a pragmatic approach to evaluating diagnostic tests. It considers disease prevalence and error consequences for better clinical decision-making.

Keywords:
benefit-riskdiagnostic yielddiagnosticspragmatism

More Related Videos

Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease
06:16

Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease

Published on: August 9, 2024

1.0K
Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis
07:51

Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis

Published on: September 26, 2018

8.2K

Related Experiment Videos

Last Updated: Mar 21, 2026

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
07:31

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

8.2K
Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease
06:16

Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease

Published on: August 9, 2024

1.0K
Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis
07:51

Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis

Published on: September 26, 2018

8.2K

Area of Science:

  • Medical Diagnostics
  • Health Technology Assessment
  • Clinical Decision Support

Background:

  • Traditional diagnostic evaluation methods often lack pragmatic approaches for benefit-risk assessment.
  • Assessing the utility of diagnostic tests requires consideration of their impact on clinical decision-making.
  • Existing frameworks may not adequately address the variability in diagnostic yield based on disease prevalence.

Purpose of the Study:

  • To introduce and describe the Benefit-Risk Evaluation of Diagnostics: A Framework (BED-FRAME) strategy.
  • To provide a systematic and pragmatic method for evaluating the benefit-risk trade-offs of diagnostic tests.
  • To supplement existing approaches for diagnostic test evaluation in clinical practice.

Main Methods:

  • BED-FRAME evaluates diagnostic yield, a key metric in test performance.
  • The framework explicitly incorporates disease prevalence as a determinant of diagnostic yield.
  • It addresses the differential clinical consequences of various diagnostic errors (e.g., false positives, false negatives).

Main Results:

  • Diagnostic yield is demonstrably dependent on the prevalence of the condition being tested for.
  • The clinical impact and utility of a diagnostic test are influenced by the relative importance of potential diagnostic errors.
  • BED-FRAME provides a tool to communicate the expected clinical impact and trade-offs of diagnostic alternatives.

Conclusions:

  • BED-FRAME offers a pragmatic and systematic approach to evaluating diagnostic tests, enhancing traditional methods.
  • The framework's consideration of prevalence and error consequences improves the assessment of diagnostic benefit-risk.
  • This strategy is a valuable supplement for analyzing diagnostic studies and aiding clinical decision-making.