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Reliability and reproducibility of visual e-norms plateau identification
Nicholas E Earle1,2,3, Joe F Jabre2,3
1Department of Neurology, Clínica Santa María, Santiago, Chile.
Clinical Neurophysiology Practice
|May 6, 2020
Summary
Visual identification of the e-norms plateau is reliable between raters for deriving nerve conduction study normal values. However, further research is needed to confirm reproducibility for individual raters over time.
Area of Science:
- Clinical Electrophysiology
- Neurology
- Medical Diagnostics
Background:
- The e-norms method utilizes laboratory diagnostic studies to establish normal reference values.
- Accurate identification of the e-norms plateau is crucial for deriving these descriptive statistics.
- Nerve conduction studies (NCS) are a key diagnostic tool in electrophysiology.
Purpose of the Study:
- To evaluate the inter-rater reliability of visually identifying the e-norms plateau in NCS data.
- To assess the intra-rater reliability of visually identifying the e-norms plateau in NCS data.
- To determine the consistency of deriving mean values from NCS data using the e-norms method.
Main Methods:
- Twenty raters visually identified e-norms plateau inflection points in NCS data, blinded to the parameter.
- Mean values were calculated from the identified plateau data.
- Inter-rater reliability was assessed immediately, and intra-rater reliability was assessed after a 1-3 month delay.
Main Results:
- No statistically significant differences were found in mean values between different raters (inter-rater reliability).
- Significant differences were observed between the same raters over time (delayed intra-rater reliability).
- The e-norms method provides a promising approach for generating reference values from existing laboratory data.
Conclusions:
- Visual identification of the e-norms plateau inflection point demonstrates good inter-rater reliability.
- Further investigation is required to confirm the intra-rater reproducibility of plateau identification.
- The e-norms method offers a valuable tool for deriving normal values in electrophysiology labs.
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