Evidence map›Paper›PMID 29226282›Full record

ArticleJournal of physiotherapy & physical rehabilitation2017

Feasibility of Conducting a 6-month long Home-based Exercise Program with Protein Supplementation in Elderly Community-dwelling Individuals with Heart Failure.

Masil George, Gohar Azhar, Amanda Pangle, Eric Peeler, Amanda Dawson, Robert Coker, Kellie S Coleman, Amy Schrader, Jeanne Wei

Abstract read
In one paragraph

Article in Journal of physiotherapy & physical rehabilitation, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 pooled it
1.1field-weighted citation impact, top 23% 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

9 citing papers in PubMed, 2 syntheses or guidelines pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
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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

9 authors at 2 institutions in 1 country.

Masil GeorgeDepartment of Geriatrics, Reynolds Institute on Aging, University of Arkansas for Medical Sciences, Little Rock, Arkansas.
Gohar AzharDepartment of Geriatrics, Reynolds Institute on Aging, University of Arkansas for Medical Sciences, Little Rock, Arkansas.
Amanda PangleDepartment of Geriatrics, Reynolds Institute on Aging, University of Arkansas for Medical Sciences, Little Rock, Arkansas.
Eric PeelerDepartment of Geriatrics, Reynolds Institute on Aging, University of Arkansas for Medical Sciences, Little Rock, Arkansas.
Amanda DawsonDepartment of Geriatrics, Reynolds Institute on Aging, University of Arkansas for Medical Sciences, Little Rock, Arkansas.
Robert CokerDepartment of Geriatrics, Reynolds Institute on Aging, University of Arkansas for Medical Sciences, Little Rock, Arkansas.
Kellie S ColemanDepartment of Geriatrics, Reynolds Institute on Aging, University of Arkansas for Medical Sciences, Little Rock, Arkansas.
Amy SchraderDepartment of Geriatrics, Reynolds Institute on Aging, University of Arkansas for Medical Sciences, Little Rock, Arkansas.
Jeanne WeiDepartment of Geriatrics, Reynolds Institute on Aging, University of Arkansas for Medical Sciences, Little Rock, Arkansas.
Institute on Aging · USUniversity of Arkansas for Medical Sciences · US

Funding

RESOURCE CORE 3: ANALYTICAL COREP30AG028718 · NIA · UNIV OF ARKANSAS FOR MED SCIS · PI WEI, JEANNE Y · 2011 to 2015
$5.1M
NIA NIH HHS P30 AG028718
6 · The paper itself

Abstract

objectiveCardiac cachexia is a condition associated with heart failure, particularly in the elderly, and is characterized by loss of muscle mass with or without the loss of fat mass. Approximately 15% of elderly heart failure patients will eventually develop cardiac cachexia; such a diagnosis is closely associated with high morbidity and increased mortality. While the mechanism(s) involved in the progression of cardiac cachexia is incompletely established, certain factors appear to be contributory. Dietary deficiencies, impaired bowel perfusion, and metabolic dysfunction all contribute to reduced muscle mass, increased muscle wasting, increased protein degradation, and reduced protein synthesis. Thus slowing or preventing the progression of cardiac cachexia relies heavily on dietary and exercise-based interventions in addition to standard heart failure treatments and medications.

methodsThe aim of the present study was to test the feasibility of an at-home exercise and nutrition intervention program in a population of elderly with heart failure, in an effort to determine whether dietary protein supplementation and increased physical activity may slow the progression, or prevent the onset, of cardiac cachexia. Frail elderly patients over the age of 55 with symptoms of heart failure from UAMS were enrolled in one of two groups, intervention or control. To assess the effect of protein supplementation and exercise on the development of cardiac cachexia, data on various measures of muscle quality, cardiovascular health, mental status, and quality of life were collected and analyzed from the two groups at the beginning and end of the study period.

resultsMore than 50% of those who were initially enrolled actually completed the 6-month study. While both groups showed some improvement in their study measures, the protein and exercise group showed a greater tendency to improve than the control group by the end of the six months.

conclusionThese findings suggest that with a larger cohort, this intervention may show significant positive effects for elderly patients who are at risk of developing cardiac cachexia.

Indexed as

agingcardiac cachexiaExerciseheart failurephysical functionprotein supplementationweakness

Identifiers

PMID29226282
PMCPMC5720169
OpenAlexW2701537829

What OpenQuestion holds

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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.