Evidence map›Paper›PMID 36427629›Full record

Trial reportDiabetes research and clinical practice2023

Does computerized cognitive training improve diabetes self-management and cognition? A randomized control trial of middle-aged and older veterans with type 2 diabetes.

Jeremy M Silverman, Carolyn W Zhu, James Schmeidler, Pearl G Lee, Neil B Alexander, Elizabeth Guerrero-Berroa, Michal S Beeri, Rebecca K West, Mary Sano, Martina Nabozny and 1 more

Open access · greenAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Diabetes research and clinical practice, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
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

11 authors at 6 institutions in 2 countries.

Jeremy M SilvermanResearch & Development, James J. Peters Veterans Affairs Medical Center, Bronx, NY, USA; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA. Electronic address: jeremy.silverman@mssm.edu.
Carolyn W ZhuBrookdale Department of Geriatrics & Palliative Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Geriatric Research, Education, and Clinical Center (GRECC), James J. Peters VA Medical Center, Bronx, NY, USA.
James SchmeidlerDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Pearl G LeeVeterans Affairs Ann Arbor Geriatric Research Education and Clinical Center, Veterans Affairs Ann Arbor Health Care System, Ann Arbor, MI, USA; Department of Internal Medicine and Division of Geriatric and Palliative Medicine, University of Michigan, Ann Arbor, MI, USA.
Neil B AlexanderVeterans Affairs Ann Arbor Geriatric Research Education and Clinical Center, Veterans Affairs Ann Arbor Health Care System, Ann Arbor, MI, USA; Department of Internal Medicine and Division of Geriatric and Palliative Medicine, University of Michigan, Ann Arbor, MI, USA.
Elizabeth Guerrero-BerroaDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Psychology, Lehman College, City University of New York, Bronx, NY, USA.
Michal S BeeriDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA; The Joseph Sagol Neuroscience Center, Sheba Medical Center, Ramat Gan, Israel.
Rebecca K WestDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Mary SanoResearch & Development, James J. Peters Veterans Affairs Medical Center, Bronx, NY, USA; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Martina NaboznyVeterans Affairs Ann Arbor Geriatric Research Education and Clinical Center, Veterans Affairs Ann Arbor Health Care System, Ann Arbor, MI, USA; Department of Internal Medicine and Division of Geriatric and Palliative Medicine, University of Michigan, Ann Arbor, MI, USA.
Martha KarranResearch & Development, James J. Peters Veterans Affairs Medical Center, Bronx, NY, USA.
James J. Peters VA Medical Center · USUniversity of Michigan · USIcahn School of Medicine at Mount Sinai · USGeriatric Research Education and Clinical Center · USLehman College · USSheba Medical Center · IL

Funding

Research Education ComponentP30AG066514 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI NIKOLAOS K ROBAKIS · 2020 to 2026
$31.0M
Research Education CoreP30AG024824 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Neil Alexander · 2004 to 2026
$29.2M
Computerized Cognitive Training to Improve Cognition in Diabetic Elderly VeteransI01HX000828 · VA · JAMES J PETERS VA MEDICAL CENTER · PI SILVERMAN, JEREMY M. · 2014 to 2021
–
HSRD VA I01 HX000828NIA NIH HHS P30 AG024824NIA NIH HHS P30 AG066514
6 · The paper itself

Abstract

aimsThis randomized control trial compared an adaptive computerized cognitive training intervention with a non-adaptive version. The primary hypothesis predicted better diabetes self-management in type 2 diabetes patients at 6 months post-intervention than baseline in the adaptive arm, with seven secondary outcomes.

methodsIntent-to-treat analysis of veterans without dementia aged 55+ from the Bronx, NY and Ann Arbor, MI (N = 90/per arm) used linear mixed model analyses.

resultsContrary to the hypothesis, only memory showed more improvement in the adaptive arm (p < 0.01). Post-hoc analyses combined the two arms; self-management improved at six-months post-intervention (p < 0.001). Memory, executive functions/attention, prospective memory, diastolic blood pressure, and systolic blood pressure improved (p < 0.05); hemoglobin A1c and medication adherence did not improve significantly.

conclusionsThe adaptive computerized cognitive training was not substantially better than non-adaptive, but may improve memory. Post-hoc results for the combined arms suggest computer-related activities may improve diabetes self-management and other outcomes for middle-aged and older patients with type 2 diabetes. Practice effects or awareness of being studied cannot be ruled out.

Indexed as

Cognitive DysfunctionDiabetes Mellitus, Type 2Self-ManagementVeteransAgedCognitionGlycated HemoglobinHumansMiddle AgedGlycated HemoglobinCognitive declineComputerized cognitive trainingDiabetes self-managementIntact cognitionMild cognitive impairmentVeterans

Identifiers

PMID36427629
PMCPMC9908839
OpenAlexW4309726523

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.