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Related Concept Videos

Multiple Comparison Tests01:13

Multiple Comparison Tests

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Multiple comparison test, abbreviated as MCT, is a post hoc analysis generally performed after comparing multiple samples with one or more tests. An MCT will help identify a significantly different sample among multiple samples or a factor among multiple factors.
It would be easy to compare two samples using a significance alpha level of 0.05. In other words, there is only one sample pair to be compared. However, it would be difficult to identify a significantly different sample if the number...
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Multicenter Validation of an MMSE-MoCA Conversion Table.

David Bergeron1, Kelsey Flynn2, Louis Verret1

  • 1Clinique Interdisciplinaire de Mémoire, Département des Sciences Neurologiques du CHU de Québec, and Faculté de Médecine, Université Laval, Québec, Québec, Canada.

Journal of the American Geriatrics Society
|February 17, 2017
PubMed
Summary
This summary is machine-generated.

Conversion tables between the Montreal Cognitive Assessment (MoCA) and Mini-Mental State Examination (MMSE) may not be reliable across all dementia subtypes. The relationship between MoCA and MMSE scores varies significantly by diagnosis, questioning the clinical utility of these conversion tools.

Keywords:
MMSECognitive screeningConversionMoCA

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Area of Science:

  • Neuroscience
  • Gerontology
  • Cognitive Psychology

Background:

  • The Montreal Cognitive Assessment (MoCA) is increasingly recognized as superior to the Mini-Mental State Examination (MMSE) for cognitive screening.
  • MMSE-MoCA conversion tables have been developed to aid in the transition between these tools.
  • The applicability and accuracy of these conversion tables across diverse dementia subtypes remain unevaluated.

Purpose of the Study:

  • To validate an MMSE-MoCA conversion table using a large, multicenter sample.
  • To assess the reliability and accuracy of this conversion table for clinical and research use.
  • To investigate whether the MMSE-MoCA relationship differs across various dementia subtypes.

Main Methods:

  • Retrospective analysis of a multicenter sample of 1492 patients from Quebec Memory Clinics.
  • Generation of an MMSE-MoCA conversion table using the equi-percentile method with log-linear smoothing.
  • Cross-validation with the Alzheimer's Disease Neuroimaging Initiative (ADNI) dataset (1202 patients) and evaluation of predictive accuracy.

Main Results:

  • The generated MMSE-MoCA conversion table showed consistency with prior tables and an intra-class correlation of 0.633 with the ADNI sample.
  • A significant modification of the MMSE-MoCA relationship by diagnosis was observed (P < .01).
  • Dementia subtypes with dysexecutive symptoms showed a trend towards higher MMSE scores for a given MoCA score; wide 95% confidence intervals suggest questionable clinical reliability.

Conclusions:

  • A validated MMSE-MoCA conversion table was produced using a large multicenter cohort.
  • Caution is advised when interpreting MMSE-MoCA conversion tables in heterogeneous dementia populations due to diagnostic variations.
  • The MMSE-MoCA relationship may differ across dementia subtypes, impacting the generalizability of conversion tables.