Related Experiment Video
Updated: Jul 16, 2025
Flexible Colonoscopy in Mice to Evaluate the Severity of Colitis and Colorectal Tumors Using a Validated Endoscopic Scoring System
Published on: October 16, 2013
Validation of the International MOGAD Panel proposed criteria
Ki Hoon Kim1, Su-Hyun Kim1, Na Young Park1
1Department of Neurology, Research Institute and Hospital of National Cancer Center, Goyang, Korea.
Abstract:
With the increased clinical interest in myelin-oligodendrocyte glycoprotein-antibody-associated disease (MOGAD), the international MOGAD panel's proposed criteria were recently released. To evaluate its diagnostic performance, the criteria were applied to a single-center cohort. Among the enrolled 100 patients, 93 fulfilled the criteria throughout the median 24 months of follow-up. All 36 patients with a clear-positive MOG-immunoglobulin G (IgG) satisfied the supporting features, except one who did not undergo magnetic resonance imaging (MRI) scan at disease onset. The criteria also contributed significantly to the confirmation of MOGAD in 57 of 64 patients without clear-positive MOG-IgG. When limited to the first attack, 51 of 61 patients (84%) satisfied the criteria, 4 of whom were initially negative for MOG-IgG. These results support the diagnostic utility of the International MOGAD Panel criteria.
More Related Videos
Related Concept Videos
01:28Criteria for Causality: Bradford Hill Criteria - II
01:30Criteria for Causality: Bradford Hill Criteria - I
01:15Data Validation
Key parameters for method validation include:
01:29Reliability and Validity
01:19Routh-Hurwitz Criterion II
The first scenario occurs when a singular zero appears in the first column of the Routh table. This situation creates a division by zero issues. To resolve this, a small positive or negative number, denoted as epsilon (∈), is substituted for the zero. The stability analysis proceeds by assuming a sign for ∈. If ∈ is positive, any sign change in the first...
01:16Critical Region, Critical Values and Significance Level
In hypothesis testing, a sample statistic is converted to a test statistic using z, t, or chi-square distribution. A critical region is an area under the curve in probability distributions demarcated by the critical value. When the test statistic falls in this region, it suggests that the null hypothesis must be rejected. As this region contains all those values of the...