Evidence map›Paper›PMID 38582748›Full record

ArticleArchives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists2024

Evaluation of Differential Diagnostics Potential of Uniform Data Set 2 Neuropsychology Battery Using Alzheimer's Disease Biomarkers.

Martin Čihák, Hana Horáková, Martin Vyhnálek, Kateřina Veverová, Veronika Matušková, Jan Laczó, Jakub Hort, Tomáš Nikolai

Open access · hybridAbstract read
In one paragraph

Article in Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.8field-weighted citation impact, top 30% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

Who cites it

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 1 institution in 2 countries.

Martin ČihákDepartment of Neurology, First Faculty of Medicine, Charles University, 121 08 Prague, Czech Republic.ORCID 0000-0001-7765-4799
Hana HorákováDepartment of Neurology, Second Faculty of Medicine and Motol University Hospital, Charles University, 150 06 Prague, Czech Republic.ORCID 0000-0003-4192-1423
Martin VyhnálekDepartment of Neurology, First Faculty of Medicine, Charles University, 121 08 Prague, Czech Republic.ORCID 0000-0002-5976-4932
Kateřina VeverováDepartment of Neurology, Second Faculty of Medicine and Motol University Hospital, Charles University, 150 06 Prague, Czech Republic.ORCID 0000-0002-5845-1854
Veronika MatuškováDepartment of Neurology, Second Faculty of Medicine and Motol University Hospital, Charles University, 150 06 Prague, Czech Republic.ORCID 0000-0002-5033-1049
Jan LaczóDepartment of Neurology, Second Faculty of Medicine and Motol University Hospital, Charles University, 150 06 Prague, Czech Republic.ORCID 0000-0003-3186-2669
Jakub HortDepartment of Neurology, Second Faculty of Medicine and Motol University Hospital, Charles University, 150 06 Prague, Czech Republic.ORCID 0000-0002-1080-3726
Tomáš NikolaiDepartment of Neurology, Second Faculty of Medicine and Motol University Hospital, Charles University, 150 06 Prague, Czech Republic.ORCID 0000-0002-0104-7228
Charles University · CZ

Funding

Czech Science Foundation 22-33968S
6 · The paper itself

Abstract

objectiveThis study aims to evaluate the efficacy of the Uniform Data Set (UDS) 2 battery in distinguishing between individuals with mild cognitive impairment (MCI) attributable to Alzheimer's disease (MCI-AD) and those with MCI due to other causes (MCI-nonAD), based on contemporary AT(N) biomarker criteria. Despite the implementation of the novel UDS 3 battery, the UDS 2 battery is still used in several non-English-speaking countries.

methodsWe employed a cross-sectional design. A total of 113 Czech participants with MCI underwent a comprehensive diagnostic assessment, including cerebrospinal fluid biomarker evaluation, resulting in two groups: 45 individuals with prodromal AD (A+T+) and 68 participants with non-Alzheimer's pathological changes or normal AD biomarkers (A-). Multivariable logistic regression analyses were employed with neuropsychological test scores and demographic variables as predictors and AD status as an outcome. Model 1 included UDS 2 scores that differed between AD and non-AD groups (Logical Memory delayed recall), Model 2 employed also Letter Fluency and Rey's Auditory Verbal Learning Test (RAVLT). The two models were compared using area under the receiver operating characteristic curves. We also created separate logistic regression models for each of the UDS 2 scores.

resultsWorse performance in delayed recall of Logical Memory significantly predicted the presence of positive AD biomarkers. In addition, the inclusion of Letter Fluency RAVLT into the model significantly enhanced its discriminative capacity.

conclusionOur findings demonstrate that using Letter Fluency and RAVLT alongside the UDS 2 battery can enhance its potential for differential diagnostics.

Indexed as

Alzheimer DiseaseBiomarkersCognitive DysfunctionNeuropsychological TestsAgedAged, 80 and overAmyloid beta-PeptidesCross-Sectional StudiesDiagnosis, DifferentialFemaleHumansMaleMiddle Agedtau ProteinsAmyloid beta-PeptidesBiomarkerstau ProteinsAlzheimer’s diseaseAssessmentMild cognitive impairment

Identifiers

PMID38582748
PMCPMC11504696
OpenAlexW4394064453

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

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.