Evidence map›Paper›PMID 41792667›Full record

ArticleBMC neurology2026

Cognitive tests distinguish biomarker-verified early Alzheimer's disease from other patients.

Franziska Kiene, Annika Notbohm, Mandy Roheger, Thomas Duning, Helmut Hildebrandt

Abstract read
In one paragraph

Article in BMC neurology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Franziska KieneDepartment of Psychology, Carl von Ossietzky Universität Oldenburg, Ammerländer Heerstr. 114-118, Oldenburg, 26129, Germany. franziska.kiene@uni-oldenburg.de.ORCID http://orcid.org/0000-0002-0462-8095
Annika NotbohmDepartment of Psychology, Carl von Ossietzky Universität Oldenburg, Ammerländer Heerstr. 114-118, Oldenburg, 26129, Germany.ORCID http://orcid.org/0009-0002-8759-6005
Mandy RohegerDepartment of Psychology, Carl von Ossietzky Universität Oldenburg, Ammerländer Heerstr. 114-118, Oldenburg, 26129, Germany.ORCID http://orcid.org/0000-0002-6015-3194
Thomas DuningDepartment of Neurology, Klinikum Bremen-Ost, Züricher Str. 40, Bremen, 28325, Germany.ORCID http://orcid.org/0000-0003-3942-0697
Helmut HildebrandtDepartment of Psychology, Carl von Ossietzky Universität Oldenburg, Ammerländer Heerstr. 114-118, Oldenburg, 26129, Germany.ORCID http://orcid.org/0000-0002-9659-1671

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe diagnosis of Alzheimer’s disease (AD) is based on the presence of characteristic biomarkers and the presence of a clinical AD phenotype. Since pathological changes typically begin years before a formal diagnosis, early detection is an important objective in AD research. Literature suggests that especially cognitive tests for assessing relational memory and memory tests requiring discrimination between previously learned and similar novel stimuli, are indicative of early AD-related cognitive impairment.

methods288 memory clinic patients were divided into three Mini-Mental State Examination (MMSE) groups: Group A (MMSE 27–30), Group B (MMSE 23–26), Group C (MMSE 18–22). Logistic regression analyses were conducted to evaluate the ability of seven neuropsychological tests, selected for their clinical relevance in diagnosing AD and distinguishing it from differential diagnoses, to predict whether a patient has AD according to their cerebrospinal fluid profile (AD+) or another neurodegenerative disease/ another dementia syndrome (AD-), for the three MMSE groups separately.

resultsThe model’s classification accuracy decreased from 83.78% in Group A to 72.92% in Group B and 75.81% in Group C. In Group A, significant predictors included Paired-Associate Learning (PAL), with AD+ patients performing worse; Phonemic Fluency (PhonoWF) and Beck’s Depression Inventory (BDI). PhonoWF and BDI are related to impairments of the AD- group: AD- patients showed a poorer test performance and more depressive symptoms.

conclusionsPredictive value of neuropsychological tests varies with the stage of cognitive impairment. Integrating relational memory tasks, such as PAL, enhances the utility of neuropsychological assessments in early identification of clinical AD phenotypes.

Indexed as

Alzheimer DiseaseNeuropsychological TestsAgedAged, 80 and overBiomarkersDiagnosis, DifferentialEarly DiagnosisFemaleHumansMaleMiddle AgedBiomarkersCerebrospinal fluidCognitive functioningEarly diagnosisNeurodegenerative diseaseNeuropsychological assessmentPaired-associate learning

Identifiers

PMID41792667
PMCPMC13063564

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.