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Meta-analysis

Neurology · General Practice ·

Review finds wide variation in brief cognitive test accuracy

A systematic review and meta-analysis assessed 10 brief, freely available cognitive tests for detecting cognitive impairment in adults aged 55 and older. Across 47 studies, accuracy varied widely, and results could not be pooled for most tests.

Researchers searched MEDLINE, Embase, and the Cochrane Library for studies published from January 1999 through August 2024 that evaluated cognitive tests taking 15 minutes or less in adults aged 55 and older in primary or specialty care. The review included 47 studies covering 10 tests, including AD8, Mini-Cog, MoCA, RUDAS, and SLUMS. The Mini-Mental State Examination was ineligible, and no eligible studies were found for 5-Cog or GPCOG. Risk of bias was assessed with QUADAS-2, and evidence certainty with GRADE.

Accuracy varied substantially. In primary care, sensitivity across tests ranged from 0.17 to 0.98 and specificity from 0.10 to 0.98. In specialty care, assuming the same prevalence, sensitivity ranged from 0.73 to 0.97 and specificity from 0.45 to 0.90. Pooling was not possible for most analyses, and evidence for some tests was limited to one setting.

The review synthesizes evidence used to develop an accompanying clinical practice guideline on brief cognitive tests in primary care. These findings describe test accuracy rather than establishing a single preferred tool. The abstract does not provide the guideline’s specific recommendations; the wide ranges and limited evidence for some tests also warrant caution when comparing performance.

In practice

For adults aged 55 and older assessed in primary or specialty care, the review shows that accuracy estimates for brief, freely available cognitive tests vary widely, and most results could not be pooled. It does not establish a single preferred test or provide the accompanying guideline’s specific recommendations in the supplied abstract. The findings therefore do not, on their own, support changing test choice; interpretation should account for the setting and the substantial uncertainty in reported performance.

AI-generated clinical interpretation · Not editor-reviewed

AI summary · Not yet editor-reviewed

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