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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Iranian specialists' approach to treatment escalation in multiple sclerosis patients with cognitive impairment
Fereshteh Ghadiri1, Elnaz Asadollahzadeh1, Zahra Ebadi1
1Multiple Sclerosis Research Center, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran.
Abstract:
Background: People with multiple sclerosis (MS) and their physicians recognize cognitive retention as an important desired outcome of disease-modifying therapies (DMTs). In this study, we attempted to gather the opinions of Iranian MS experts regarding the treatment approach toward clinical cases with different physical and cognitive conditions. Methods: Opinions of 20 MS specialists regarding the best approach to 6 case scenarios (with different clinical, cognitive, and imaging characteristics) were gathered via a form. Results: The estimated kappa of 0.16 [95% confidence interval (CI): 0.159-0.163; P < 0.001] suggested a poor degree of agreement on the treatment choice among the professionals. Conclusion: Although most specialists agreed with treatment escalation in cases with cognitive impairment, there was no general agreement. Furthermore, there was not enough clinical evidence in the literature to develop consensus guidelines on the matter.
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