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Updated: Oct 9, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
[Correlates of Cognitive Impairment of Rheumatic Disease: Systematic Review and Meta-analysis]
Jina Mo1, Jisuk Park2, Hyunsoo Oh3
1National Evidence-based Health Care Collaborating Agency, Seoul, Korea.
Purpose:
This study was conducted to synthesis the results of research on relationships of cognitive impairment with multi-dimensional correlates of rheumatic disease through a systematic literature review and meta-analysis.
Methods:
For the study purpose, 23 studies were selected through a systematic process of searching the literature.
Results:
The study results showed that among general characteristics, age and education were the variables having a significant relationship with cognitive impairment. Among health risk factors, obesity appeared to have a significant positive relationship with cognitive impairment. For past history, diabetes and hypertension were shown to have a significant positive relationship with cognitive impairment. It was noted also that aPL, one of the physiological factor, had significant association with cognitive impairment. None of the medication related factors had a significant relationship with cognitive impairment. Results showed that among disease related factors, disease activity had the highest relationship with cognitive impairment. Depression, among psychological factors, was the only variable having a significant relationship with cognitive impairment.
Conclusion:
The findings indicate that the variables strongly impacting on cognitive impairment in rheumatic disease are depression and disease activity.
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