Evidence map›Paper›PMID 42012388›Full record

ArticleJournal of Alzheimer's disease : JAD2026

Is there a cognitive measure of neurodegeneration for amyloid-Aβ-ratio probable Alzheimer's disease patients?

Helmut Hildebrandt, Thomas Duning, Miriam Holland-Letz

Abstract read
In one paragraph

Article in Journal of Alzheimer's disease : JAD, 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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0cells of the map it votes in
0citing papers in PubMed
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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.

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

3 authors.

Helmut HildebrandtDepartment of Neurology, Klinikum Bremen-Ost, Bremen, Germany.ORCID 0000-0002-9659-1671
Thomas DuningDepartment of Neurology, Klinikum Bremen-Ost, Bremen, Germany.
Miriam Holland-LetzDepartment of Neurology, Klinikum Bremen-Ost, Bremen, Germany.ORCID 0009-0003-0746-7463

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BackgroundRecent developments in the assessment of Alzheimer's disease (AD) have centered on differential diagnostic questions. Only a few studies have aimed to identify neuropsychological measures that allow the prediction of disease progression. However, this question is central to informing patients about their diagnosis and to decisions regarding the urgency and timing of treatment escalation.ObjectiveWe analyzed which, if any, neuropsychological test results reflect the extent of neurodegenerative progression.MethodsThis retrospective analysis included 290 patients divided into an Aβ-ratio + group (n = 146; AD biomarker profile) and an Aβ-ratio- group (n = 144; non-AD biomarker profile). The Aβ-ratio + group was further divided into four t-tau quartiles. The Aβ-ratio- group was subdivided into patients with normal (n = 94) or elevated t-tau (n = 50).ResultsRegression and variance analyses demonstrated a correlation between Trail Making Test B (TMT-B) performance and t-tau levels in patients with an Aβ-ratio+, driven by differences between low and high tau values, but not in Aβ-ratio- patients. Several additional statistical control analyses endorsed this finding.ConclusionsWe conclude that, for Aβ-ratio + patients, TMT-B performance may serve as a clinically accessible indicator of tau-related disease activity and the extent of neurodegeneration and may help identify patients at risk of faster progression if replicated in longitudinal studies.

Indexed as

Alzheimer DiseaseAmyloid beta-PeptidesAgedAged, 80 and overBiomarkersDisease ProgressionFemaleHumansMaleNeuropsychological TestsRetrospective Studiestau ProteinsAmyloid beta-PeptidesBiomarkerstau ProteinsAlzheimer’s diseasecourse predictionneurodegenerationneuropsychological testingtotal tauTrail Making Test-B

Identifiers

PMID42012388
PMCPMC13234309

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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.