Evidence map›Paper›PMID 25753450›Full record

ArticleJournal of nephrology2015

The presence and impact of diastolic dysfunction on physical function and body composition in hemodialysis patients.

Jin Hee Jeong, Pei-Tzu Wu, Brandon Michael Kistler, Peter John Fitschen, Annabel Guzman Biruete, Shane Aaron Phillips, Mohamed M Ali, Bo Fernhall, Kenneth Robert Wilund

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of nephrology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 24% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
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  3. Article
  4. Article
  5. 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

9 authors at 3 institutions in 1 country.

Jin Hee JeongUniversity of Illinois at Urbana-Champaign, Kinesiology and Community Health, Urbana, IL, USA. jinjeong@illinois.edu.
Pei-Tzu WuSchool of Nursing, University of California, Los Angeles, Los-Angeles, CA, USA.
Brandon Michael KistlerUniversity of Illinois at Urbana-Champaign, Kinesiology and Community Health, Urbana, IL, USA.
Peter John FitschenDivision of Nutritional Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
Annabel Guzman BirueteDivision of Nutritional Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
Shane Aaron PhillipsUniversity of Illinois at Chicago, Kinesiology, Nutrition, and Rehabilitation, Chicago, IL, USA.
Mohamed M AliUniversity of Illinois at Chicago, Kinesiology, Nutrition, and Rehabilitation, Chicago, IL, USA.
Bo FernhallUniversity of Illinois at Chicago, Kinesiology, Nutrition, and Rehabilitation, Chicago, IL, USA.
Kenneth Robert WilundUniversity of Illinois at Urbana-Champaign, Kinesiology and Community Health, Urbana, IL, USA.
University of Illinois Urbana-Champaign · USUniversity of Illinois Chicago · USUniversity of California, Los Angeles · US

Funding

Intradialytic Protein Supplementation & Exercise Training in Dialysis PatientsR01DK084016 · NIDDK · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI WILUND, KENNETH ROBERT · 2010 to 2014
$3.0M
NIDDK NIH HHS R01 DK084016NIDDK NIH HHS R01 DK084016-01
6 · The paper itself

Abstract

backgroundCardiovascular (CV) diseases are the main cause of death in maintenance hemodialysis (MHD) patients. Muscle wasting and physical function decline are common in MHD patients, and significantly impair their quality of life. These can result from abnormalities in cardiac function, which can be further worsened by physical deconditioning. Left ventricular diastolic function parameters were recently shown to be a better predictor of exercise capacity than systolic measures in patients with CV complications. But little is known about the relationship between cardiac function and physical function in MHD patients.

methodsIn 82 MHD patients, left ventricular systolic dysfunction (LVSD) was assessed by ejection fraction and fractional shortening with echocardiography, and left ventricular diastolic dysfunction (LVDD) was assessed by pulse wave and tissue Doppler indices. Physical function was assessed by gait speed, performance on a shuttle walk test, and leg muscle strength. Dual-emission X-ray absorptiometry (DXA) was used to measure whole body lean mass (WBLM).

resultsThe prevalence of LVDD and LVSD was 48.8 and 12.2%, respectively. Gait speed, shuttle walk time, leg strength, and WBLM% were significantly higher in the group without LVDD than with LVDD (p < 0.05 for all). However, there was no significant difference in any measure of physical function or body composition between patients with and without LVSD.

conclusionThese data suggest that LVDD is more closely related to physical function and body composition than LVSD in MHD patients, and hence that LVDD may be an important therapeutic target.

Indexed as

Absorptiometry, PhotonAdultAgedBody CompositionDiastoleEchocardiographyExercise TestExercise ToleranceFemaleHumansMaleMiddle AgedMuscle StrengthQuadriceps MuscleRenal DialysisRenal Insufficiency, ChronicBody compositionCardiac abnormalitiesDiastolic dysfunctionMaintenance hemodialysis patientsPhysical function

Identifiers

PMID25753450
PMCPMC10413439
OpenAlexW1998213339

What OpenQuestion holds

Textmetadata
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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.