Evidence map›Paper›PMID 29601367›Full record

ArticleThe Journal of cardiovascular nursing

Design and Rationale of the Cognitive Intervention to Improve Memory in Heart Failure Patients Study.

Susan J Pressler, Bruno Giordani, Marita Titler, Irmina Gradus-Pizlo, Dean Smith, Susan G Dorsey, Sujuan Gao, Miyeon Jung

Registry-linked trialAbstract readClinical Trial Protocol
In one paragraph

Article in The Journal of cardiovascular nursing. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03035565 (Cognitive Intervention to Improve Memory in Heart Failure Patients), which is not on this map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.5field-weighted citation impact, top 32% 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.

NCT03035565 nacompletednot on this map

Cognitive Intervention to Improve Memory in Heart Failure Patients

TypeinterventionalSponsorIndiana UniversityRan2017 to 2021Enrolled276ConditionsHeart Failure NYHA Class II, Heart Failure NYHA Class III, Heart Failure NYHA Class IArmsComputerized Cognitive Training with Brain HQ, Computerized Crossword Puzzles
3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 10 citations in OpenAlex.

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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

8 authors at 1 institution in 1 country.

Susan J PresslerSusan J. Pressler, PhD, RN Director, Center for Enhancing Quality of Life in Chronic Illness, and Professor and Sally Reahard Chair, Indiana University School of Nursing, Indianapolis. Bruno Giordani, PhD Professor, Neuropsychology Program, Department of Psychiatry, University of Michigan School of Medicine, Ann Arbor. Marita Titler, PhD, RN Professor, Rhetaugh Dumas Endowed Chair, and Department Chair, Systems, Populations and Leadership, University of Michigan School of Nursing, Ann Arbor. Irmina Gradus-Pizlo, MD Clinical Professor, Division of Cardiology, University of California, Irvine. Dean Smith, PhD Professor and Dean, School of Public Health, Louisiana State University Health Sciences Center, New Orleans. Susan G. Dorsey, PhD, RN Professor and Department Chair, Department of Pain and Transitional Symptom Science, University of Maryland School of Nursing, Baltimore. Sujuan Gao, PhD Professor, Department of Biostatistics, Indiana University School of Medicine, Indianapolis. Miyeon Jung, PhD, RN Assistant Professor, Indiana University School of Nursing, Indianapolis.
Bruno Giordani
Marita Titler
Irmina Gradus-Pizlo
Dean Smith
Susan G Dorsey
Sujuan Gao
Miyeon Jung
Indiana University – Purdue University Indianapolis · US

Funding

Michigan Alzheimer's Disease Core CenterP30AG053760 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LIEBERMAN, ANDREW P · 2016 to 2020
$10.1M
Cognitive Intervention to Improve Memory in Heart Failure PatientsR01NR016116 · NINR · INDIANA UNIVERSITY INDIANAPOLIS · PI GIORDANI, BRUNO, PRESSLER, SUSAN JANE · 2016 to 2020
$2.9M
NIA NIH HHS P30 AG053760NINR NIH HHS R01 NR016116
6 · The paper itself

Abstract

backgroundMemory loss is an independent predictor of mortality among heart failure patients. Twenty-three percent to 50% of heart failure patients have comorbid memory loss, but few interventions are available to treat the memory loss. The aims of this 3-arm randomized controlled trial were to (1) evaluate efficacy of computerized cognitive training intervention using BrainHQ to improve primary outcomes of memory and serum brain-derived neurotrophic factor levels and secondary outcomes of working memory, instrumental activities of daily living, and health-related quality of life among heart failure patients; (2) evaluate incremental cost-effectiveness of BrainHQ; and (3) examine depressive symptoms and genomic moderators of BrainHQ effect.

methodsA sample of 264 heart failure patients within 4 equal-sized blocks (normal/low baseline cognitive function and gender) will be randomly assigned to (1) BrainHQ, (2) active control computer-based crossword puzzles, and (3) usual care control groups. BrainHQ is an 8-week, 40-hour program individualized to each patient's performance. Data collection will be completed at baseline and at 10 weeks and 4 and 8 months. Descriptive statistics, mixed model analyses, and cost-utility analysis using intent-to-treat approach will be computed.

conclusionsThis research will provide new knowledge about the efficacy of BrainHQ to improve memory and increase serum brain-derived neurotrophic factor levels in heart failure. If efficacious, the intervention will provide a new therapeutic approach that is easy to disseminate to treat a serious comorbid condition of heart failure.

Indexed as

Therapy, Computer-AssistedBiomarkersBrain-Derived Neurotrophic FactorCognitive DysfunctionHeart FailureHumansMemory DisordersMemory, Short-TermQuality of LifeRandomized Controlled Trials as TopicBiomarkersBrain-Derived Neurotrophic Factor

Identifiers

PMID29601367
PMCPMC5995611
OpenAlexW2794950824

What OpenQuestion holds

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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.