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Association of restless legs syndrome and mortality in end-stage renal disease: an analysis of the United States Renal Data System (USRDS)

Overview of attention for article published in BMC Nephrology, August 2017
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Title
Association of restless legs syndrome and mortality in end-stage renal disease: an analysis of the United States Renal Data System (USRDS)
Published in
BMC Nephrology, August 2017
DOI 10.1186/s12882-017-0660-0
Pubmed ID
Authors

Joseph J. DeFerio, Usha Govindarajulu, Amarpali Brar, Daniel Cukor, Kathleen G. Lee, Moro O. Salifu

Abstract

Objective of the study is to assess prevalence and survival among end stage renal disease patients with restless legs syndrome (RLS) within a national database (USRDS). A case-control, retrospective analysis was performed. Differences in characteristics between the groups, RLS and those with no sleep disorder (NSD), were determined using χ2 tests. Cox proportional hazard regression was used to assess survival between those with RLS and propensity score matched controls. Cases of restless legs syndrome were defined as patients that had received an ICD-9 code of 333.94 at any point during their treatment (n = 372). RLS group demonstrated a significantly higher proportion of patients with major depressive disorder, dysthymic disorder, anxiety, depression, minor depressive disorder, and psychological disorder. The difference between the survival was not statistically significant in those without sleep disorder as compared to those with RLS (HR =1.16±0.14, p = 0.3). True prevalence of RLS in dialysis patients can only be estimated if knowledge gap for care providers in diagnosis of RLS is addressed. RLS patients also have increased incidence of certain psychological disorders which needs to be addressed.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 46 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 17%
Student > Bachelor 6 13%
Student > Ph. D. Student 5 11%
Student > Postgraduate 3 7%
Student > Doctoral Student 2 4%
Other 5 11%
Unknown 17 37%
Readers by discipline Count As %
Medicine and Dentistry 11 24%
Nursing and Health Professions 10 22%
Neuroscience 3 7%
Psychology 2 4%
Computer Science 2 4%
Other 2 4%
Unknown 16 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 09 August 2017.
All research outputs
#19,292,491
of 23,881,329 outputs
Outputs from BMC Nephrology
#1,953
of 2,550 outputs
Outputs of similar age
#246,423
of 319,180 outputs
Outputs of similar age from BMC Nephrology
#49
of 67 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,550 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one is in the 11th percentile – i.e., 11% of its peers scored the same or lower than it.
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We're also able to compare this research output to 67 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.