Evidence map›Paper›PMID 32651327›Full record

Trial reportJournal of Alzheimer's disease : JAD2020

Using a Timed Motor Task to Predict One-Year Functional Decline in Amnestic Mild Cognitive Impairment.

Sydney Y Schaefer, Andrew Hooyman, Kevin Duff

Abstract readClinical TrialLetter
In one paragraph

Trial report in Journal of Alzheimer's disease : JAD, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Trial
  2. Comparing Demographic Effects on Current and Novel Neuropsychological Measures in Older Adults with and without Alzheimer's Disease.Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists · 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

3 authors.

Sydney Y SchaeferSchool of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ, USA.
Andrew HooymanSchool of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ, USA.
Kevin DuffCenter for Alzheimer's Care, Imaging, and Research, University of Utah, Salt Lake City, UT, USA.

Funding

TRIAL OF VALPROATE TO ATTENUATE THE PROGRESSION OF ADU01AG010483 · NIA · UNIVERSITY OF ROCHESTER · PI AISEN, PAUL S. · 1991 to 2012
$116.2M
Cognitive training and practice effects in MCIR01AG045163 · NIA · UNIVERSITY OF UTAH · PI DUFF, KEVIN M · 2014 to 2018
$2.2M
Generalization of functional task-specific motor training in older adultsK01AG047926 · NIA · UTAH STATE UNIVERSITY · PI SCHAEFER, SYDNEY YOSHIE · 2015 to 2018
$543k
NIA NIH HHS K01 AG047926NIA NIH HHS R01 AG045163NIA NIH HHS U01 AG010483
6 · The paper itself

Abstract

Affordable, noninvasive methods of predicting functional decline are needed for individuals at risk for Alzheimer's disease. This study tested whether a timed upper-extremity motor task predicted functional decline over one year in 79 adults diagnosed with amnestic mild cognitive impairment. Participants completed subjective and objective measures of daily functioning at baseline and one year later. Motor task performance and delayed memory were also evaluated at baseline. Motor task performance was a significant predictor of one-year follow-up daily functioning, improving model fits by 18- 35%. Thus, motor behavior has potential to be an affordable enrichment strategy that is sensitive to functional decline.

Indexed as

Activities of Daily LivingAgedAged, 80 and overCognitive DysfunctionFemaleFollow-Up StudiesHumansMalePsychomotor PerformanceTime FactorsActivities of daily livingfunctional declinemild cognitive impairmentmotor behavior

Identifiers

PMID32651327
PMCPMC7484390

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.