Evidence map›Paper›PMID 39188923›Full record

ArticleAlzheimer's & dementia (Amsterdam, Netherlands)

Interplay of physical and recognition performance using hierarchical continuous-time dynamic modeling and a dual-task training regime in Alzheimer's patients.

Svenja Schwarck, Manuel C Voelkle, Andreas Becke, Nancy Busse, Wenzel Glanz, Emrah Düzel, Gabriel Ziegler

Abstract read
In one paragraph

Article in Alzheimer's & dementia (Amsterdam, Netherlands). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Physical activity and the outcome of cognitive trajectory: a machine learning approach.European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity · 2025
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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

7 authors.

Svenja SchwarckInstitute of Cognitive Neurology and Dementia Research Otto-von-Guericke-University Magdeburg Saxony-Anhalt Germany.
Manuel C VoelkleInstitute of Psychology Humboldt University of Berlin Berlin Germany.
Andreas BeckeInstitute of Cognitive Neurology and Dementia Research Otto-von-Guericke-University Magdeburg Saxony-Anhalt Germany.
Nancy BusseInstitute of Cognitive Neurology and Dementia Research Otto-von-Guericke-University Magdeburg Saxony-Anhalt Germany.
Wenzel GlanzInstitute of Cognitive Neurology and Dementia Research Otto-von-Guericke-University Magdeburg Saxony-Anhalt Germany.
Emrah DüzelInstitute of Cognitive Neurology and Dementia Research Otto-von-Guericke-University Magdeburg Saxony-Anhalt Germany.
Gabriel ZieglerInstitute of Cognitive Neurology and Dementia Research Otto-von-Guericke-University Magdeburg Saxony-Anhalt Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Training studies typically investigate the cumulative rather than the analytically challenging immediate effect of exercise on cognitive outcomes. We investigated the dynamic interplay between single-session exercise intensity and time-locked recognition speed-accuracy scores in older adults with Alzheimer's dementia ( Highlights: Hierarchical Bayesian continuous-time dynamic modeling approachA total of 72 repeated physical exercise (PP) and integrated recognition speed-accuracy (IRSA) measurementsPP is dynamically linked to session-to-session variability of IRSAHigher PP improved IRSA in subsequent sessions in subjects with Alzheimer's dementiaShort-term effect: lasting up to 4 days after training session.

Indexed as

Alzheimer's diseaseBayesiancardiovascular trainingcognitive performancecontinuous‐time modelingdynamic modelinghierarchicalinterventionlongitudinal analysis

Identifiers

PMID39188923
PMCPMC11345748

What OpenQuestion holds

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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.