Related Experiment Video
Updated: Jul 6, 2025

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Diagnostic performance of the six-item cognitive impairment test as first-step screening for dementia: a
1School of Nursing, Soonchunhyang University, Asan, South Korea.
Objective:
Dementia, a slowly progressive disease, is poorly diagnosed. One reason is that it is difficult to use the screening tools. The six-item cognitive impairment test (6-CIT) is brief, with six items, and has a confirmed scoring system that can easily be used by an average individual. This review aimed to analyze the predictive validity of the 6-CIT including comparisons with other tools such as the Mini-Mental State Examination (MMSE).
Methods:
Literature searches were performed on the MEDLINE, EMBASE, CINAHL, and PsycArticles using the dementia and 6-CITas keywords. The Quality Assessment of Diagnostic Accuracy Studies-2 was applied to assess the risk of bias.
Results:
Seven studies with 6,831 participants that met the selection criteria were included. The pooled sensitivity of the 6-CIT analyzed in seven studies was 0.82 (95% CI 0.73-0.89), the pooled specificity was 0.87, and the summary receiver operating characteristic (sROC) curve was 0.90 (SE = 0.04). The diagnostic performance of the 6-CIT and MMSE was compared in three studies. The pooled sensitivity of the 6-CIT was 0.85, the pooled specificity was 0.91, and the sROC curve was 0.91, whereas the MMSE values were 0.70, 0.93, and 0.68, respectively.
Conclusion:
This review presents evidence that the 6-CIT has excellent dementia screening performance and could be used as a potential alternative to the MMSE. The 6-CIT may provide an opportunity for early detection of dementia.
More Related Videos
04:33Author Spotlight: Unveiling the Connection Between Sleep Disorders and Cognitive Symptoms in Depression
Published on: April 26, 2024
06:23The 4 Mountains Test: A Short Test of Spatial Memory with High Sensitivity for the Diagnosis of Pre-dementia Alzheimer's Disease
Published on: October 13, 2016