Neuropsychological Measures That Predict Progression From Mild Cognitive Impairment to Alzheimer's Type Dementia in Older Adults: A Systematic Review and Meta-Analysis
Neuropsychology Review
Belleville, S., Fouquet, C., et al. (2017).
Neuropsychology Review, 27(4), 328-353.
This systematic review and meta-analysis investigates the predictive power of various assessments regarding the progression from mild cognitive impairment to Alzheimer's type dementia. Although speech-language pathologists do not diagnose MCI or dementia, the findings may be applicable when assessing older individuals with cognitive deficit.
Fonds d'Innovation Pfizer-FRQS (Canada); Quebec Network for Research on Aging (RQRV) of the Fonds de Recherche du Québec-Santé (FRQS) (Canada)
From database inception to January 29th, 2014
Prospective and retrospective longitudinal designs
28, with 21 included in meta-analysis
<div>Findings demonstrated that five individual tests and one global measure had excellent overall predictive value: </div>
<ul>
<li><span style="color: #333333;">the Guild Paragraph, delayed recall (sensitivity= .96, specificity= .83), </span></li>
<li><span style="color: #333333;">the RAVLT, delayed recall (sensitivity= .74-.92, specificity= .93-.94), </span></li>
<li><span style="color: #333333;">Face-name association task, free delayed recall of names (sensitivity= 1.00, specificity= .86), </span></li>
<li><span style="color: #333333;">Object function recognition (sensitivity= .86, specificity= 1.00), </span></li>
<li><span style="color: #333333;">VOSP Silhouettes (sensitivity= .92, specificity= .92), and </span></li>
<li><span style="color: #333333;">the ACE Addenbrooke’s Cognitive Examination (sensitivity= .73-1.00, specificity= .55-1.00)</span></li>
</ul>
<div>Studies that examined a combination of memory and non-memory tests generally obtained very high to excellent predictive accuracy. Limitations to this review included risk of bias within studies and paucity of research for each included measure. Further research is warranted.</div>
