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

Blood Studies for Cardiovascular System II: CRP, Hcy, and Cardiac Natriuretic Peptide Markers01:19

Blood Studies for Cardiovascular System II: CRP, Hcy, and Cardiac Natriuretic Peptide Markers

Cardiac biomarkers are critical in diagnosing, prognosing, and managing cardiovascular diseases. Routine measurement of specific biomarkers such as B-type natriuretic peptide (BNP), C-reactive protein (CRP), and homocysteine (Hcy) is common practice in clinical settings to evaluate heart function and predict cardiovascular events.
These markers indicate stress or strain on the heart muscle:
Natriuretic Peptides (BNP)
Cardiac myocytes produce these hormones in response to ventricular stretching...
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

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, controlled...
Blood Studies for Cardiovascular System I: Cardiac Biomarkers01:20

Blood Studies for Cardiovascular System I: Cardiac Biomarkers

Cardiac biomarkers are enzymes, proteins, and hormones released into the blood when cardiac cells are injured. They are powerful tools for triaging.
The essential diagnostic tools for detecting myocardial necrosis and monitoring individuals suspected of having acute coronary syndrome (ACS) include:
Troponins
Troponins, particularly cardiac troponins I and T, are the most precise and sensitive markers of myocardial injury. They are detectable within 4-6 hours of myocardial injury and remain...
Sensitivity, Specificity, and Predicted Value01:13

Sensitivity, Specificity, and Predicted Value

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...
Receiver Operating Characteristic Plot01:15

Receiver Operating Characteristic Plot

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...
Data Validation01:15

Data Validation

Method validation is a crucial process in analytical chemistry designed to confirm that a given method consistently produces reliable and high-quality results. This process is essential when a method is applied to different sample matrices or when procedural modifications are made, ensuring that the results meet acceptable standards across various applications.
Key parameters for method validation include:

You might also read

Related Articles

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

Sort by
Same author

Incidence of Cancer in Patients With Familial Adenomatous Polyposis in the Netherlands: A Nationwide Cohort Study.

Gastroenterology·2026
Same author

QUADAS-3 Explanation and Elaboration: Guidance for Quality Assessment of Diagnostic Test Accuracy Studies.

Annals of internal medicine·2026
Same author

QUADAS-3: A Revised Tool for the Quality Assessment of Diagnostic Test Accuracy Studies.

Annals of internal medicine·2026
Same author

Risk factors for dysplastic lesions in the proximal stomach in patients with familial adenomatous polyposis.

Endoscopy international open·2025
Same author

Rationale and design of 'StAtins in Frail oldEr patients with ischemic Stroke or Transient ischemic attack-the Randomized Controlled Trial' (SAFEST-RCT).

BMJ neurology open·2025
Same author

Quantitative targeted proteomics for occult cancer screening in patients with unprovoked venous thromboembolism: results from the prospective PLATO-VTE study.

Research and practice in thrombosis and haemostasis·2025
Same journal

Standardization of tumor markers - priorities identified through external quality assessment.

Scandinavian journal of clinical and laboratory investigation. Supplementum·2016
Same journal

Next generation sequencing in cancer: opportunities and challenges for precision cancer medicine.

Scandinavian journal of clinical and laboratory investigation. Supplementum·2016
Same journal

microRNAs as cancer biomarkers.

Scandinavian journal of clinical and laboratory investigation. Supplementum·2016
Same journal

Biomarkers along the continuum of care in lung cancer.

Scandinavian journal of clinical and laboratory investigation. Supplementum·2016
Same journal

Precision medicine: what's all the fuss about?

Scandinavian journal of clinical and laboratory investigation. Supplementum·2016
Same journal

Serum thyroglobulin in the monitoring of differentiated thyroid cancer.

Scandinavian journal of clinical and laboratory investigation. Supplementum·2016
See all related articles

Related Experiment Video

Updated: Jun 12, 2026

Dried Blood Spot Collection of Health Biomarkers to Maximize Participation in Population Studies
07:20

Dried Blood Spot Collection of Health Biomarkers to Maximize Participation in Population Studies

Published on: January 28, 2014

Clinical validity: defining biomarker performance.

Patrick M M Bossuyt1

  • 1Dept. Clinical Epidemiology & Biostatistics Academic Medical Center, University of Amsterdam. p.m.bossuyt@amc.uva.nl

Scandinavian Journal of Clinical and Laboratory Investigation. Supplementum
|June 3, 2010
PubMed
Summary
This summary is machine-generated.

Evaluating biomarker clinical validity involves assessing diagnostic accuracy. This study reviews measures for diagnostic accuracy studies, emphasizing sensitivity and specificity over likelihood ratios.

More Related Videos

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
07:35

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
14:27

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Published on: June 26, 2013

Related Experiment Videos

Last Updated: Jun 12, 2026

Dried Blood Spot Collection of Health Biomarkers to Maximize Participation in Population Studies
07:20

Dried Blood Spot Collection of Health Biomarkers to Maximize Participation in Population Studies

Published on: January 28, 2014

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
07:35

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
14:27

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Published on: June 26, 2013

Area of Science:

  • Biomarker research
  • Medical diagnostics
  • Statistical analysis in medicine

Background:

  • Clinical validity is crucial for biomarker evaluation.
  • Diagnostic accuracy quantifies a biomarker's ability to identify target conditions.
  • Diagnostic accuracy studies compare biomarker values to a clinical reference standard.

Purpose of the Study:

  • To provide an overview and critical commentary of measures used to summarize diagnostic accuracy.
  • To classify available diagnostic accuracy measures.
  • To discuss the relativity of accuracy measures and defend the use of sensitivity and specificity.

Main Methods:

  • Review and classification of diagnostic accuracy measures.
  • Analysis of factors influencing diagnostic accuracy.
  • Comparative discussion of different statistical measures.

Main Results:

  • Diagnostic accuracy measures can be categorized as error-based, information-based, or strength of association.
  • Diagnostic accuracy is not a fixed property and varies with study conditions.
  • Likelihood ratios may not always be superior to sensitivity and specificity.

Conclusions:

  • A comprehensive understanding of diagnostic accuracy measures is essential for biomarker evaluation.
  • Sensitivity and specificity remain valuable statistics for expressing biomarker accuracy.
  • The interpretation of diagnostic accuracy must consider study-specific factors.