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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Validity and Reliability of Outcome Measurement Instruments for Cognitive Function in Alzheimer's Disease: A
Zhe-Zuo Zhang1,2, Xiao-Ying Lyu3, Xiang-Wei Dai1
1Institute of Basic Research In Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, China.
Introduction:
In this systematic review, we aimed to identify suitable assessment and measurement tools for screening individuals for cognitive impairment and Alzheimer's disease (AD). We conducted a comprehensive evaluation of the reliability and validity of cognitive function assessment instruments. Based on our findings, we offer insightful suggestions for further research on cognitive function scale development and clinical researchers in AD.
Methods:
We searched the PubMed and CNKI databases for community-based studies aimed at developing or evaluating the validity or reliability of cognitive function assessment scales. Only studies written in English and Chinese that reported the development of cognitive function assessment scales and/or the validation of cognitive impairment severity in patients with cognitive impairment and AD were eligible for inclusion. The methodological quality of the studies, based on reliability (i.e., internal consistency and test-retest reliability) and validity (i.e., construct validity), was assessed using the consensus-based standards for the selection of health measurement instruments (COSMIN) according to the "worst score counts" principle. Subsequently, the measurement properties were rated qualitatively. Results were summarized and rated using the modified Grading of Recommendations, Assessment, Development, and Evaluation. Based on the results, recommendations were categorized into four levels: A, B, C, and D.
Results:
We retrieved a total of 804 studies. Following screening, a total of 62 articles were included, which reported 49 cognitive impairment assessment scales. The methodological quality of studies ranged from inadequate to very good, and the measurement properties varied from sufficient (+) to indeterminate (?). We found that the AD Assessment Scale-cognitive subscale (ADAS-Cog), Montreal Cognitive Assessment (MoCA), Baylor Profound Mental Status Examination (BPMSE), Clinical Dementia Rating (CDR), and the other 28 scales had sufficient validity and reliability.
Conclusion:
Our evaluation according to the COSMIN guidelines suggested that the ADAS-Cog, MoCA, BPMSE, CDR scale, and Mini-mental State Examination could be used to assess the degree of cognitive impairment in patients with AD. When developing cognitive function assessment scales, factors such as time and linguistic and cultural differences could be carefully considered.
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