A meta-analysis of the accuracy of the mini-mental state examination in the detection of dementia and mild cognitive impairment
The MMSE is the most widely used cognitive test but its accuracy and clinical utility in diagnosing cognitive disorders is not fully known. A meta-analysis of 34 dementia studies and five mild cognitive impairment (MCI) studies was conducted, separated into high and low prevalence settings. In memor...
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| Published in | Journal of psychiatric research Vol. 43; no. 4; pp. 411 - 431 |
|---|---|
| Main Author | |
| Format | Journal Article |
| Language | English |
| Published |
Kidlington
Elsevier Ltd
01.01.2009
Elsevier |
| Subjects | |
| Online Access | Get full text |
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| Abstract | The MMSE is the most widely used cognitive test but its accuracy and clinical utility in diagnosing cognitive disorders is not fully known. A meta-analysis of 34 dementia studies and five mild cognitive impairment (MCI) studies was conducted, separated into high and low prevalence settings.
In memory clinic settings the MMSE had a pooled sensitivity (Se) of 79.8%, a specificity (Sp) of 81.3%, a positive predictive value (PPV) of 86.3% and a negative predictive value (NPV) of 73.0%. In mixed specialist hospital settings the Se, Sp, PPV and NPV were 71.1%, 95.6%, 94.2% and 76.4%, respectively. In non-clinical community settings the MMSE had a pooled Se of 85.1%, a Sp of 85.5%, a PPV of 34.5% and an NPV of 98.5%. In those studies conducted purely in primary care the Se, Sp, PPV and NPV were 78.4%, 87.8%. 53.6% and 95.7%, respectively.
Thus the case-finding ability of the MMSE was best when confirming a suspected diagnosis in specialist settings with correct identification made in 27/30 positive results. It was modestly effective at ruling-out dementia in specialist settings. Conversely, in non-specialist settings, the MMSE was best at ruling out dementia, achieving about 29/30 correct reassurances with less than three false negatives out of every 100 screens.
Regarding use of the MMSE in identifying MCI, limited evidence was found with only five robust studies comparing MCI with healthy subjects and three comparing Alzheimer’s disease with MCI. Provisionally, the MMSE had very limited value in making a diagnosis of MCI against healthy controls and modest rule-out accuracy. It had similarly limited ability to help identify cases of Alzheimer’s disease against MCI.
In conclusion the MMSE offers modest accuracy with best value for ruling-out a diagnosis of dementia in community and primary care. For all other used it should be combined with or replaced by other methods. |
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| AbstractList | The MMSE is the most widely used cognitive test but its accuracy and clinical utility in diagnosing cognitive disorders is not fully known. A meta-analysis of 34 dementia studies and five mild cognitive impairment (MCI) studies was conducted, separated into high and low prevalence settings.
In memory clinic settings the MMSE had a pooled sensitivity (Se) of 79.8%, a specificity (Sp) of 81.3%, a positive predictive value (PPV) of 86.3% and a negative predictive value (NPV) of 73.0%. In mixed specialist hospital settings the Se, Sp, PPV and NPV were 71.1%, 95.6%, 94.2% and 76.4%, respectively. In non-clinical community settings the MMSE had a pooled Se of 85.1%, a Sp of 85.5%, a PPV of 34.5% and an NPV of 98.5%. In those studies conducted purely in primary care the Se, Sp, PPV and NPV were 78.4%, 87.8%. 53.6% and 95.7%, respectively.
Thus the case-finding ability of the MMSE was best when confirming a suspected diagnosis in specialist settings with correct identification made in 27/30 positive results. It was modestly effective at ruling-out dementia in specialist settings. Conversely, in non-specialist settings, the MMSE was best at ruling out dementia, achieving about 29/30 correct reassurances with less than three false negatives out of every 100 screens.
Regarding use of the MMSE in identifying MCI, limited evidence was found with only five robust studies comparing MCI with healthy subjects and three comparing Alzheimer’s disease with MCI. Provisionally, the MMSE had very limited value in making a diagnosis of MCI against healthy controls and modest rule-out accuracy. It had similarly limited ability to help identify cases of Alzheimer’s disease against MCI.
In conclusion the MMSE offers modest accuracy with best value for ruling-out a diagnosis of dementia in community and primary care. For all other used it should be combined with or replaced by other methods. Abstract The MMSE is the most widely used cognitive test but its accuracy and clinical utility in diagnosing cognitive disorders is not fully known. A meta-analysis of 34 dementia studies and five mild cognitive impairment (MCI) studies was conducted, separated into high and low prevalence settings. In memory clinic settings the MMSE had a pooled sensitivity (Se) of 79.8%, a specificity (Sp) of 81.3%, a positive predictive value (PPV) of 86.3% and a negative predictive value (NPV) of 73.0%. In mixed specialist hospital settings the Se, Sp, PPV and NPV were 71.1%, 95.6%, 94.2% and 76.4%, respectively. In non-clinical community settings the MMSE had a pooled Se of 85.1%, a Sp of 85.5%, a PPV of 34.5% and an NPV of 98.5%. In those studies conducted purely in primary care the Se, Sp, PPV and NPV were 78.4%, 87.8%. 53.6% and 95.7%, respectively. Thus the case-finding ability of the MMSE was best when confirming a suspected diagnosis in specialist settings with correct identification made in 27/30 positive results. It was modestly effective at ruling-out dementia in specialist settings. Conversely, in non-specialist settings, the MMSE was best at ruling out dementia, achieving about 29/30 correct reassurances with less than three false negatives out of every 100 screens. Regarding use of the MMSE in identifying MCI, limited evidence was found with only five robust studies comparing MCI with healthy subjects and three comparing Alzheimer’s disease with MCI. Provisionally, the MMSE had very limited value in making a diagnosis of MCI against healthy controls and modest rule-out accuracy. It had similarly limited ability to help identify cases of Alzheimer’s disease against MCI. In conclusion the MMSE offers modest accuracy with best value for ruling-out a diagnosis of dementia in community and primary care. For all other used it should be combined with or replaced by other methods. The MMSE is the most widely used cognitive test but its accuracy and clinical utility in diagnosing cognitive disorders is not fully known. A meta-analysis of 34 dementia studies and five mild cognitive impairment (MCI) studies was conducted, separated into high and low prevalence settings. In memory clinic settings the MMSE had a pooled sensitivity (Se) of 79.8%, a specificity (Sp) of 81.3%, a positive predictive value (PPV) of 86.3% and a negative predictive value (NPV) of 73.0%. In mixed specialist hospital settings the Se, Sp, PPV and NPV were 71.1%, 95.6%, 94.2% and 76.4%, respectively. In non-clinical community settings the MMSE had a pooled Se of 85.1%, a Sp of 85.5%, a PPV of 34.5% and an NPV of 98.5%. In those studies conducted purely in primary care the Se, Sp, PPV and NPV were 78.4%, 87.8%. 53.6% and 95.7%, respectively. Thus the case-finding ability of the MMSE was best when confirming a suspected diagnosis in specialist settings with correct identification made in 27/30 positive results. It was modestly effective at ruling-out dementia in specialist settings. Conversely, in non-specialist settings, the MMSE was best at ruling out dementia, achieving about 29/30 correct reassurances with less than three false negatives out of every 100 screens. Regarding use of the MMSE in identifying MCI, limited evidence was found with only five robust studies comparing MCI with healthy subjects and three comparing Alzheimer's disease with MCI. Provisionally, the MMSE had very limited value in making a diagnosis of MCI against healthy controls and modest rule-out accuracy. It had similarly limited ability to help identify cases of Alzheimer's disease against MCI. In conclusion the MMSE offers modest accuracy with best value for ruling-out a diagnosis of dementia in community and primary care. For all other used it should be combined with or replaced by other methods. [Copyright Elsevier Ltd.] The MMSE is the most widely used cognitive test but its accuracy and clinical utility in diagnosing cognitive disorders is not fully known. A meta-analysis of 34 dementia studies and five mild cognitive impairment (MCI) studies was conducted, separated into high and low prevalence settings. In memory clinic settings the MMSE had a pooled sensitivity (Se) of 79.8%, a specificity (Sp) of 81.3%, a positive predictive value (PPV) of 86.3% and a negative predictive value (NPV) of 73.0%. In mixed specialist hospital settings the Se, Sp, PPV and NPV were 71.1%, 95.6%, 94.2% and 76.4%, respectively. In non-clinical community settings the MMSE had a pooled Se of 85.1%, a Sp of 85.5%, a PPV of 34.5% and an NPV of 98.5%. In those studies conducted purely in primary care the Se, Sp, PPV and NPV were 78.4%, 87.8%. 53.6% and 95.7%, respectively. Thus the case-finding ability of the MMSE was best when confirming a suspected diagnosis in specialist settings with correct identification made in 27/30 positive results. It was modestly effective at ruling-out dementia in specialist settings. Conversely, in non-specialist settings, the MMSE was best at ruling out dementia, achieving about 29/30 correct reassurances with less than three false negatives out of every 100 screens. Regarding use of the MMSE in identifying MCI, limited evidence was found with only five robust studies comparing MCI with healthy subjects and three comparing Alzheimer's disease with MCI. Provisionally, the MMSE had very limited value in making a diagnosis of MCI against healthy controls and modest rule-out accuracy. It had similarly limited ability to help identify cases of Alzheimer's disease against MCI. In conclusion the MMSE offers modest accuracy with best value for ruling-out a diagnosis of dementia in community and primary care. For all other used it should be combined with or replaced by other methods. The MMSE is the most widely used cognitive test but its accuracy and clinical utility in diagnosing cognitive disorders is not fully known. A meta-analysis of 34 dementia studies and five mild cognitive impairment (MCI) studies was conducted, separated into high and low prevalence settings. In memory clinic settings the MMSE had a pooled sensitivity (Se) of 79.8%, a specificity (Sp) of 81.3%, a positive predictive value (PPV) of 86.3% and a negative predictive value (NPV) of 73.0%. In mixed specialist hospital settings the Se, Sp, PPV and NPV were 71.1%, 95.6%, 94.2% and 76.4%, respectively. In non-clinical community settings the MMSE had a pooled Se of 85.1%, a Sp of 85.5%, a PPV of 34.5% and an NPV of 98.5%. In those studies conducted purely in primary care the Se, Sp, PPV and NPV were 78.4%, 87.8%. 53.6% and 95.7%, respectively. Thus the case-finding ability of the MMSE was best when confirming a suspected diagnosis in specialist settings with correct identification made in 27/30 positive results. It was modestly effective at ruling-out dementia in specialist settings. Conversely, in non-specialist settings, the MMSE was best at ruling out dementia, achieving about 29/30 correct reassurances with less than three false negatives out of every 100 screens. Regarding use of the MMSE in identifying MCI, limited evidence was found with only five robust studies comparing MCI with healthy subjects and three comparing Alzheimer's disease with MCI. Provisionally, the MMSE had very limited value in making a diagnosis of MCI against healthy controls and modest rule-out accuracy. It had similarly limited ability to help identify cases of Alzheimer's disease against MCI. In conclusion the MMSE offers modest accuracy with best value for ruling-out a diagnosis of dementia in community and primary care. For all other used it should be combined with or replaced by other methods.The MMSE is the most widely used cognitive test but its accuracy and clinical utility in diagnosing cognitive disorders is not fully known. A meta-analysis of 34 dementia studies and five mild cognitive impairment (MCI) studies was conducted, separated into high and low prevalence settings. In memory clinic settings the MMSE had a pooled sensitivity (Se) of 79.8%, a specificity (Sp) of 81.3%, a positive predictive value (PPV) of 86.3% and a negative predictive value (NPV) of 73.0%. In mixed specialist hospital settings the Se, Sp, PPV and NPV were 71.1%, 95.6%, 94.2% and 76.4%, respectively. In non-clinical community settings the MMSE had a pooled Se of 85.1%, a Sp of 85.5%, a PPV of 34.5% and an NPV of 98.5%. In those studies conducted purely in primary care the Se, Sp, PPV and NPV were 78.4%, 87.8%. 53.6% and 95.7%, respectively. Thus the case-finding ability of the MMSE was best when confirming a suspected diagnosis in specialist settings with correct identification made in 27/30 positive results. It was modestly effective at ruling-out dementia in specialist settings. Conversely, in non-specialist settings, the MMSE was best at ruling out dementia, achieving about 29/30 correct reassurances with less than three false negatives out of every 100 screens. Regarding use of the MMSE in identifying MCI, limited evidence was found with only five robust studies comparing MCI with healthy subjects and three comparing Alzheimer's disease with MCI. Provisionally, the MMSE had very limited value in making a diagnosis of MCI against healthy controls and modest rule-out accuracy. It had similarly limited ability to help identify cases of Alzheimer's disease against MCI. In conclusion the MMSE offers modest accuracy with best value for ruling-out a diagnosis of dementia in community and primary care. For all other used it should be combined with or replaced by other methods. |
| Author | Mitchell, Alex J. |
| Author_xml | – sequence: 1 givenname: Alex J. surname: Mitchell fullname: Mitchell, Alex J. email: alex.mitchell@leicspart.nhs.uk organization: Department of Liaison Psychiatry, Brandon Unit, Leicester General Hospital, Gwendolen Road, Leicester LE5 4PW, United Kingdom |
| BackLink | http://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=21234417$$DView record in Pascal Francis https://www.ncbi.nlm.nih.gov/pubmed/18579155$$D View this record in MEDLINE/PubMed |
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| Keywords | Clinical utility MCI Sensitivity Specificity MMSE Diagnosis Dementia Human Nervous system diseases Mini Mental State Examination Folstein et al Cognitive disorder Alzheimer disease Neuropsychological test Psychometrics Review Cerebral disorder Metaanalysis Test validation Utility Central nervous system disease Degenerative disease mild cognitive impairment Predictive validity |
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| Snippet | The MMSE is the most widely used cognitive test but its accuracy and clinical utility in diagnosing cognitive disorders is not fully known. A meta-analysis of... Abstract The MMSE is the most widely used cognitive test but its accuracy and clinical utility in diagnosing cognitive disorders is not fully known. A... |
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| SubjectTerms | Accuracy Biological and medical sciences Clinical utility Cognition Disorders - diagnosis Cognitive disorders Cognitive impairment Dementia Dementia - diagnosis Diagnosis Evaluation Studies as Topic Humans MCI Medical sciences Minimental State Examination MMSE Neuropsychological Tests - standards Predictive Value of Tests Psychiatric Status Rating Scales - standards Psychiatry Psychology. Psychoanalysis. Psychiatry Psychometrics. Diagnostic aid systems Psychopathology. Psychiatry Sensitivity Sensitivity and Specificity Severity of Illness Index Specificity Techniques and methods |
| Title | A meta-analysis of the accuracy of the mini-mental state examination in the detection of dementia and mild cognitive impairment |
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