Evidence map›Paper›PMID 21360474›Full record

ArticleJournal of nephrology

LDL particle size and number compared with LDL cholesterol and risk categorization in end-stage renal disease patients.

Rodney G Bowden, Ronald L Wilson, A Alexander Beaujean

Abstract readComparative Study
In one paragraph

Article in Journal of nephrology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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.

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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Lipids, Apolipoproteins, and Risk of Atherosclerotic Cardiovascular Disease in Persons With CKD.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2019
    Article
  7. Lipoprotein subfractions and particle size in end-stage renal disease.Clinical journal of the American Society of Nephrology : CJASN · 2011
    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

3 authors.

Rodney G BowdenDepartment of Health, Baylor University, Waco, TX, USA. Rodney_Bowden@baylor.edu
Ronald L Wilson
A Alexander Beaujean

Funding

Individual differences and health outcomes: A secondary data analysis in cognitivR03HD058464 · NICHD · BAYLOR UNIVERSITY · PI BEAUJEAN, A. ALEXANDER · 2009 to 2010
$132k
NICHD NIH HHS R03 HD058464NICHD NIH HHS R03HD058464
6 · The paper itself

Abstract

backgroundFew studies have been conducted that make comparisons between traditional measures of cholesterol and cholesterol subfractions, and only one study has compared low-density lipoprotein cholesterol (LDL-C) particle number, LDL-C particle size and LDL-C among end-stage renal disease (ESRD) patients. The purpose of this study was to examine the relationships between cholesterol measures and differences in risk stratification when using ATP-III guidelines compared with cholesterol particle number and size in ESRD patients.

methodsESRD patients (n=1,092) from clinics associated with the Central Texas Nephrology Associates were recruited to participate in this study.

resultsLDL particle size categorized more patients at-risk when compared with LDL-C, non-HDL-C and triglycerides. Pearson correlation coefficients revealed a strong significant correlation between LDL-C and LDL particle number (r2=0.908, p=0.0001) and a significant correlation between LDL particle number and LDL particle size (r2=-0.290, p=0.0001). A significant but weak correlation existed between LDL-C and LDL particle size (r2=0.107, p=0.0001). A significant correlation existed between LDL particle number and triglycerides (r2=0.335, p=0.0001) and a significant inverse relationship between LDL particle size and triglycerides (r2=-0.500, p=0.0001).

conclusionsOur study seems to suggest that using LDL particle size may help to identify those who would not be considered at-risk using LDL-C, non-HDL-C or triglycerides alone, and can be used as a further screening measure that may be more predictive of coronary heart disease outcomes.

Indexed as

Particle SizeAgedCholesterol, HDLCholesterol, LDLCoronary DiseaseFemaleHumansKidney Failure, ChronicLipoproteins, LDLMaleMiddle AgedPredictive Value of TestsRenal DialysisRisk AssessmentRisk FactorsTriglyceridesCholesterol, HDLCholesterol, LDLLipoproteins, LDLTriglycerides

Identifiers

PMID21360474
PMCPMC4313745

What OpenQuestion holds

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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.