Related Experiment Video
Updated: May 22, 2026

Selected Reaction Monitoring Mass Spectrometry for Absolute Protein Quantification
Published on: August 17, 2015
Analytical performance, reference values and decision limits. A need to differentiate between reference intervals and
Per Hyltoft Petersen1, Esther A Jensen, Ivan Brandslund
1The Norwegian Quality Improvement of Primary Care Laboratories, Section for General Practice, Department of Public Health and Primary Health Care, Faculty of Medicine and Dentistry, University of Bergen, Norway. Per.Petersen@isf.uib.no
Reference intervals and decision limits are distinct concepts crucial for accurate medical diagnosis. This study emphasizes separating them to avoid diagnostic errors and ensure reliable clinical decision-making.
Area of Science:
- Clinical Chemistry
- Medical Diagnostics
- Analytical Science
Background:
- Reference intervals and decision limits are frequently confused in clinical practice.
- This confusion can arise from incorporating risk calculations into reference intervals.
- National and international recommendations increasingly use decision limits for diagnosis and critical actions.
Purpose of the Study:
- To clarify the distinct definitions of reference intervals and decision limits.
- To highlight the need for separating these two concepts in medical diagnostics.
- To underscore the importance of analytical quality specifications for decision limits.
Main Methods:
- Conceptual analysis and definition clarification.
- Review of existing national and international recommendations.
- Examination of analytical quality specifications for bias.
Main Results:
- Reference intervals represent 95% distribution limits for analytical components in healthy individuals.
- Decision limits are specific concentration thresholds set by expert groups for diagnostic or action purposes.
- Analytical quality specifications for bias are well-defined for reference intervals but poorly defined for decision limits.
Conclusions:
- Clear separation between reference intervals and decision limits is essential for accurate medical interpretation.
- Negligible bias is critically important for decision limits, as small biases can significantly impact patient diagnosis and treatment.
- Stricter analytical quality specifications for bias are needed for decision limits to ensure reliable clinical outcomes.
More Related Videos
07:43A Validatable Droplet Digital Polymerase Chain Reaction Assay for the Detection of Adeno-Associated Viral Vectors in Bioshedding Studies of Tears
Published on: July 14, 2023
07:52Detection of Antibodies That Neutralize the Cellular Uptake of Enzyme Replacement Therapies with a Cell-based Assay
Published on: September 10, 2018
Related Concept Videos
Data Validation
Key parameters for method validation include:
Quality Assurance
Development of Analytical Methods
Quality Control
Quality control helps track data, visualize trends, and identify variations, making it easier to detect deviations that may affect the accuracy of an analysis. One way to do this is by generating a quality control chart, which...
Difference from Background: Limit of Detection
The LOD indicates the presence or absence...
Clinically Relevant Drug Product Specifications: Methods of Establishment