ArticleArquivos de neuro-psiquiatria2022
Accuracy of the Brief Cognitive Screening Battery for diagnosing Alzheimer's disease defined by cerebrospinal fluid biomarkers and AT(N) classification: a case-control study.
Article in Arquivos de neuro-psiquiatria, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed.
- Diagnostic performance of the Brief Cognitive Screening Battery-Indonesian version in detecting cognitive impairment.Arquivos de neuro-psiquiatria · 2025Article
- A task force for diagnosis and treatment of people with Alzheimer's disease in Latin America.Frontiers in neurology · 2023Review
- Alzheimer's disease diagnosis and management: Perspectives from around the world.Alzheimer's & dementia (Amsterdam, Netherlands) · 2022Article
- The Figure Memory Test: diagnosis of memory impairment in populations with heterogeneous educational background.Dementia & neuropsychologiaArticle
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4 authors.
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Abstract
backgroundValidation of cognitive instruments for detection of Alzheimer's disease (AD) based on correlation with diagnostic biomarkers allows more reliable identification of the disease.
objectivesTo investigate the accuracy of the Brief Cognitive Screening Battery (BCSB) in the differential diagnosis between AD, non-AD cognitive impairment (both defined by cerebrospinal fluid [CSF] biomarkers) and healthy cognition, and to correlate CSF biomarker results with cognitive performance.
methodsOverall, 117 individuals were evaluated: 45 patients with mild cognitive impairment (MCI) or mild dementia within the AD continuum defined by the AT(N) classification [A+T+/-(N)+/]; 27 non-AD patients with MCI or mild dementia [A-T+/-(N)+/-]; and 45 cognitively healthy individuals without CSF biomarker results. All participants underwent evaluation using the BCSB.
resultsThe total BCSB and delayed recall (DR) scores of the BCSB memory test showed high diagnostic accuracy, as indicated by areas under the ROC curve (AUC): 0.89 and 0.87, respectively, for discrimination between AD and non-AD versus cognitively healthy controls. Similarly, total BCSB and DR displayed high accuracy (AUC-ROC curves of 0.89 and 0.91, respectively) for differentiation between AD and controls. BCSB tests displayed low accuracy for differentiation between AD and non-AD. The CSF levels of biomarkers correlated significantly, though weakly, with DR.
conclusionsTotal BCSB and DR scores presented good accuracy for differentiation between patients with a biological AD diagnosis and cognitively healthy individuals, but low accuracy for differentiating AD from non-AD patients.
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