Evidence map›Paper›PMID 23650501›Full record

Trial reportPloS one2013

A randomized controlled trial of cognitive training using a visual speed of processing intervention in middle aged and older adults.

Fredric D Wolinsky, Mark W Vander Weg, M Bryant Howren, Michael P Jones, Megan M Dotson

2 registry-linked trialsAbstract readRandomized Controlled Trial
In one paragraph

Trial report in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 100 papers, 10 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
100citing papers in PubMed, 10 pooled it
–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.

NCT01165463 nacompletednot on this map

RCT of Two Speed of Processing Modes to Prevent Cognitive Decline in Older Adults

TypeinterventionalSponsorFredric D WolinskyRan2009 to 2012Enrolled681ConditionsVisual Processing SpeedArmsSOPT basic training, Crossword Puzzles, SOPT booster training
NCT02864940 naterminatednot on this mapstarted 2016, after this paper: background citation

MASH Study (Memory Training in Aneurysmal Subarachnoid Hemorrhage Patients)

TypeinterventionalSponsorRush University Medical CenterRan2016 to 2018Enrolled38ConditionsRuptured Aneurysm, Memory Deficits, Subarachnoid HemorrhageArmsLumosity, Crossword puzzle
3 · Its place in the literature

Who cites it

100 citing papers in PubMed, 10 syntheses or guidelines pooled it.

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  16. Attitudes Toward Computers Moderate the Effect of Computerized Cognitive Trainings in Oldest-Old Senior Living Center Residents.The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry · 2021
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  17. Exploring the Specificity, Synergy, and Durability of Auditory and Visual Computer Gameplay Transfer Effects in Healthy Older Adults.The journals of gerontology. Series B, Psychological sciences and social sciences · 2020
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  18. Home-Based, Adaptive Cognitive Training for Cognitively Normal Older adults: Initial Efficacy Trial.The journals of gerontology. Series B, Psychological sciences and social sciences · 2020
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40 more citing papers are in PubMed but not listed here.

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

5 authors.

Fredric D WolinskyDepartment of Health Management and Policy, University of Iowa, Iowa City, Iowa, United States of America. fredric-wolinsky@uiowa.edu
Mark W Vander Weg
M Bryant Howren
Michael P Jones
Megan M Dotson

Funding

RCT of Two Speed of Processing Modes to Prevent Cognitive Decline in Older AdultsRC1AG035546 · NIA · UNIVERSITY OF IOWA · PI WOLINSKY, FREDRIC D · 2009 to 2010
$997k
NIA NIH HHS RC1 AG-035546NIA NIH HHS RC1 AG035546
6 · The paper itself

Abstract

backgroundAge-related cognitive decline is common and may lead to substantial difficulties and disabilities in everyday life. We hypothesized that 10 hours of visual speed of processing training would prevent age-related declines and potentially improve cognitive processing speed.

methodsWithin two age bands (50-64 and ≥ 65) 681 patients were randomized to (a) three computerized visual speed of processing training arms (10 hours on-site, 14 hours on-site, or 10 hours at-home) or (b) an on-site attention control group using computerized crossword puzzles for 10 hours. The primary outcome was the Useful Field of View (UFOV) test, and the secondary outcomes were the Trail Making (Trails) A and B Tests, Symbol Digit Modalities Test (SDMT), Stroop Color and Word Tests, Controlled Oral Word Association Test (COWAT), and the Digit Vigilance Test (DVT), which were assessed at baseline and at one year. 620 participants (91%) completed the study and were included in the analyses. Linear mixed models were used with Blom rank transformations within age bands.

resultsAll intervention groups had (p<0.05) small to medium standardized effect size improvements on UFOV (Cohen's d = -0.322 to -0.579, depending on intervention arm), Trails A (d = -0.204 to -0.265), Trails B (d = -0.225 to -0.320), SDMT (d = 0.263 to 0.351), and Stroop Word (d = 0.240 to 0.271). Converted to years of protection against age-related cognitive declines, these effects reflect 3.0 to 4.1 years on UFOV, 2.2 to 3.5 years on Trails A, 1.5 to 2.0 years on Trails B, 5.4 to 6.6 years on SDMT, and 2.3 to 2.7 years on Stroop Word.

conclusionVisual speed of processing training delivered on-site or at-home to middle-aged or older adults using standard home computers resulted in stabilization or improvement in several cognitive function tests. Widespread implementation of this intervention is feasible.

trial registrationClinicalTrials.gov NCT-01165463.

Indexed as

Cognitive Behavioral TherapySoftwareAgedArea Under CurveAttentionCognitionCognition DisordersDementiaFemaleHumansLinear ModelsMaleMiddle AgedPhotic StimulationTreatment Outcome

Identifiers

PMID23650501
PMCPMC3641082

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.