Evidence map›Paper›PMID 34581712›Full record

ArticleThe Journal of cardiovascular nursing

Health Literacy, Cognitive Function, and Mortality in Patients With Heart Failure.

Tyler A Kuhn, Emily C Gathright, Mary A Dolansky, John Gunstad, Richard Josephson, Joel W Hughes

2 registry-linked trialsAbstract read
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 2 registered trials, which are not on this 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.

NCT01461629 completednot on this map

Cognitive Impairment and Self-management in Adults With Heart Failure

TypeobservationalSponsorKent State UniversityRan2010Enrolled372ConditionsCognitive Impairment, Cardiac Disease, Heart Failure
NCT06923514 completednot on this map

Using Machine Learning to Analyze the Prediction and Correlation of Health Literacy, Stress and Quality of Life in Heart Failure Patients

TypeobservationalSponsorCheng-Hsin General HospitalRan2024 to 2025Enrolled158ConditionsHeart Failure
3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Assessment of cognitive function in patients with heart failure: impact of clinical and sociodemographic factors.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
    Article
  2. Review
  3. Article
  4. Article
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

6 authors.

Tyler A Kuhn
Emily C Gathright
Mary A Dolansky
John Gunstad
Richard Josephson
Joel W Hughes

Funding

Cognitive Impairment and Self-management in Adults with Heart FailureR01HL096710 · NHLBI · KENT STATE UNIVERSITY · PI DOLANSKY, MARY, HUGHES, JOEL W · 2010 to 2013
$2.7M
NHLBI NIH HHS R01 HL096710
6 · The paper itself

Abstract

backgroundHealth literacy has predicted mortality in heart failure. However, the role of cognitive functioning in this relationship has not been evaluated. We hypothesized that health literacy would predict all-cause mortality but that cognitive functioning would modify the relationship between health literacy and mortality in heart failure.

objectiveThe aim of this study was to examine the association between health literacy, cognitive functioning, and mortality in patients with heart failure.

methodsThis secondary analysis of a larger study included 298 patients with heart failure with reduced ejection fraction (trial identifier: NCT01461629). Health literacy was evaluated using the Rapid Estimate of Adult Literacy in Medicine (REALM) and Medical Term Recognition Test (METER), and cognitive functioning was evaluated using the Modified Mini-Mental Status Examination (3MS). Cox proportional hazards regression was used with time-until-death as the dependent variable.

resultsAfter controlling for age, sex, and race, neither METER nor REALM scores predicted mortality in heart failure (Ps ≥ .37). However, 3MS predicted mortality in models using the METER (Δχ2 = 9.20, P < .01; B = -.07; hazard ratio, 0.94 [95% confidence interval, 0.89-0.98]; P < .01) and REALM (Δχ2 = 9.77, P < .01; B = -0.07; hazard ratio, 0.94 [95% confidence interval, 0.90-0.97]; P < .01). Furthermore, adding the 3MS improved model fit.

conclusionsCognitive functioning predicted mortality in heart failure better than health literacy. Results suggest the need to further evaluate the contribution of cognitive functioning to increased risk of mortality in those with heart failure.

Indexed as

Health LiteracyHeart FailureAdultCognitionHumansProportional Hazards Models

Identifiers

PMID34581712
PMCPMC8648929

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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.