Can MoCA and MMSE Be Interchangeable Cognitive Screening Tools? A Systematic Review

2018 ◽  
Vol 59 (6) ◽  
pp. e743-e763 ◽  
Author(s):  
Glória S A Siqueira ◽  
Paula de M S Hagemann ◽  
Daniela de S Coelho ◽  
Flávia Heloísa Dos Santos ◽  
Paulo H F Bertolucci

Abstract Background and Objectives Cognitive disorders may be an early sign of neuropsychiatric disorders; however, it remains unclear whether the screening measures are interchangeable. The aim of this study was to contrast the most commonly used screening tools—Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA)—for early detection of neurocognitive disorder (NCD). Research Design and Methods This study presents a descriptive systematic review and informative literature according to the Cochrane Foundation’s guidelines. The keywords “Mini-Mental State Examination” and “Montreal Cognitive Assessment” were searched in the Web of Science, SciELO, and LILACS databases. Results Fifty-one studies were selected including a total sample of 11,870 participants (8,360 clinical patients and 3,510 healthy controls). Most studies were published in the past 5 years using a cross-sectional design, carried out across the world. They were organized by age ranges (18–69 years and 20–89 years), years of schooling, and mental status (with and without mental and behavior disorders). Sixteen of 18 studies had participants aged 18–69 years, and 21 out of 33 studies within the older set suggested that the MoCA is a more sensitive tool for detecting NCD. Discussion and Implications Thirty-seven studies suggested that the MoCA is a more sensitive tool for NCD detection because it assesses executive function and visuospatial abilities. Some individuals who demonstrated normal cognitive function on the MMSE had lower performance on the MoCA. However, it seems necessary to establish different cutoffs based on years of schooling to avoid false positives. Future studies should contrast MoCA with other screening tools designed for NCD assessment.

PLoS ONE ◽  
2021 ◽  
Vol 16 (7) ◽  
pp. e0254055
Author(s):  
Hwabeen Yang ◽  
Daehyuk Yim ◽  
Moon Ho Park

Objective The Montreal Cognitive Assessment (MoCA) and Mini-Mental State Examination-2 (MMSE-2) are useful psychometric tests for cognitive screening. Many clinicians want to predict the MMSE-2 score based on the MoCA score. To facilitate the transition from the MoCA to the MMSE-2, this study developed a conversion method. Methods This study retrospectively examined the relationship between the MoCA and MMSE-2. Overall, 303 participants were evaluated. We produced a conversion table using the equipercentile equating method with log-linear smoothing. Then, we evaluated the reliability and accuracy of this algorithm to convert the MoCA to the MMSE-2. Results MoCA scores were converted to MMSE-2 scores according to a conversion table that achieved a reliability of 0.961 (intraclass correlation). The accuracy of this algorithm was 84.5% within 3 points difference from the raw score. Conclusions This study reports a reliable and easy conversion algorithm for transforming MoCA scores into converted MMSE-2 scores. This method will greatly enhance the utility of existing cognitive data in clinical and research settings.


2021 ◽  
Author(s):  
Nayyereh Aminisani ◽  
Rasoul alimi ◽  
Ali Javadpour ◽  
Mohhamad Asghari-Jafarabadi ◽  
Mozhgan Jourian ◽  
...  

Abstract Introduction:Ageing can cause major changes in the central nervous system of the body, resulting in cognitive decline and associated disorders. Therefore, there is a growing need for an effective cognitive screening method to enhance the diagnosis of mild cognitive impairments and to prevent occurring dementia and Alzheimer's Disease (AD). Our study aimed to compare the accuracy of MMSE (Mini-Mental State Examination) and MoCA (Montreal Cognitive Assessment) while evaluating the independent and interaction effects of age and educational level on these screening tools in a healthy sample.Method: The data for the current study was based on the registration phase of the study during 2016-2018 in Neyshabour Longitudinal Study on Ageing (NeLSA). Both the MoCA and MMSE tests were used to assess cognitive decline among 3326 participants aged 50-94 years of old. The ROC curve analysis and the predictive values were performed to evaluate the diagnostic accuracy of MMSE to discriminate Mild Cognitive Impairment (MCI) from the cognitively healthy adult basis of MoCA scores as a gold test. A two-way ANCOVA was run to examine the effect of Age and Education level on MoCA and MMSE score, while controlling for a gender effect. Data were analyzed using MedCalc Statistical Software version 13.0.6 (MedCalc Software bvba, Ostend, Belgium; http://www.medcalc.org; 2014). Results: The chi-square test shows that MoCA ((72% and 90%) significantly (p-value<0.001() classified more persons as cognitively impaired than the MMSE (45.1%), respectively; using a cutoff score of 24 on the MMSE, 23 and 26 on the MoCA. The cut-off point of below 25 yielded the highest Youden J index for the MMSE in discrimination between MCI and healthy basis of MOCA<23 with an AUC of 0.9 (95% CI: 0.89-0.91) and MOCA<26 with an AUC of 0.87 (95% CI: 0.86-0.89). A two-way ANCOVA results show that the effect of education variable on the MMSE and MoCA score is more important than the age variable.Discussion: Although the cut-off scores give a clear indication of the sensitivity and specificity, they are unable to monitor the impact of confounders, which increase the risk of incorrect classification. Taken together, these findings demonstrate the use of demographically adjusted MoCA and MMSE scores that could provide clinicians with a more reliable estimation of the severity of cognitive impairment, thus increasing the instrument's clinical usefulness.


2017 ◽  
Vol 5 (7) ◽  
pp. 915-919 ◽  
Author(s):  
Aldy Safruddin Rambe ◽  
Fasihah Irfani Fitri

BACKGROUND: As the rapid growth of the elderly population and the increased prevalence of Alezheimer’s Disease and related disorders, there is an increasing need for effective cognitive screening. The Mini Mental State Examination (MMSE) is the most frequently used screening test of cognitive impairment because of its convenience. The Montreal Cognitive Assessment-Indonesian Version (MoCA-INA) has been validated and recently been used as a cognitive screening tool.OBJECTIVES: The aim of this study was to compare the MMSE and MoCA-INA scores and to determine the correlation between the MMSE and MoCA-INA scores in elderly.MATERIAL AND METHODS: This was a cross-sectional study including 83 elderly subjects from November 2016 until June 2017. We performed MMSE and MoCA-INA for assessment of cognitive function and the time between each test was at least 30 minutes.RESULTS: The study included 83 subjects which were consisted of 46 (55.4%) males and 37 (44.6%) females. The mean age was 69.19 ± 4.23 ranging from 65 to 79 years old. The average MMSE scores was 24.96 ± 3.38 (range 14 to 30). The average MoCA-INA scores was 21.06 ± 4.56 (range 5 to 30). The Pearson correlation coefficient between the scores was 0.71 (p<0.005). There were no significant differences of both scores based on history of hypertension, diabetes mellitus and previous stroke, but there was a significant difference in MMSE scores based on level of education.CONCLUSION: The MoCA-INA score showed a good correlation with the MMSE score. Both tests showed comparable results but MoCA-INA showed lower average with wider range of scores.


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