Evidence map›Paper›PMID 24610925›Full record

ArticleJournal of the American Society of Nephrology : JASN2014

HDL cholesterol is not associated with lower mortality in patients with kidney dysfunction.

Stephen Zewinger, Thimoteus Speer, Marcus E Kleber, Hubert Scharnagl, Rainer Woitas, Philipp M Lepper, Karolin Pfahler, Sarah Seiler, Gunnar H Heine, Winfried März and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in Journal of the American Society of Nephrology : JASN, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed
6.3field-weighted citation impact, top 3% 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

55 citing papers in PubMed, 104 citations in OpenAlex.

  1. Trial
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  9. [Laboratory diagnostics of lipid metabolism disorders].Deutsche medizinische Wochenschrift (1946) · 2023
    Article
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  12. Observational
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  16. Guanidinylated Apolipoprotein C3 (ApoC3) Associates with Kidney and Vascular Injury.Journal of the American Society of Nephrology : JASN · 2021
    Observational
  17. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 4 institutions in 2 countries.

Stephen ZewingerDepartments of Internal Medicine IV and.
Thimoteus SpeerDepartments of Internal Medicine IV and.
Marcus E KleberMedical Faculty Mannheim, University of Heidelberg, Medical Clinic V (Nephrology, Hypertensiology, Endocrinology), Mannheim, Germany;
Hubert ScharnaglClinical Institute of Medical and Chemical Laboratory Diagnostics, Medical University of Graz, Graz, Austria;
Rainer WoitasDivision of Nephrology, Department of Internal Medicine I, University of Bonn, Bonn, Germany;
Philipp M LepperInternal Medicine V, Saarland University Hospital, Homburg/Saar, Germany;
Karolin PfahlerDepartments of Internal Medicine IV and.
Sarah SeilerDepartments of Internal Medicine IV and.
Gunnar H HeineDepartments of Internal Medicine IV and.
Winfried MärzMedical Faculty Mannheim, University of Heidelberg, Medical Clinic V (Nephrology, Hypertensiology, Endocrinology), Mannheim, Germany; Clinical Institute of Medical and Chemical Laboratory Diagnostics, Medical University of Graz, Graz, Austria; Synlab Academy, Synlab Services LLC, Mannheim, Germany; and.
Günther SilbernagelDepartment of Angiology, Swiss Cardiovascular Center, University Hospital Bern, Bern, Switzerland.
Danilo FliserDepartments of Internal Medicine IV and danilo.fliser@uks.eu.
Medical University of Graz · ATSaarland University · DEHeidelberg University · DEUniversity of Bonn · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the general population, HDL cholesterol (HDL-C) is associated with reduced cardiovascular events. However, recent experimental data suggest that the vascular effects of HDL can be heterogeneous. We examined the association of HDL-C with all-cause and cardiovascular mortality in the Ludwigshafen Risk and Cardiovascular Health study comprising 3307 patients undergoing coronary angiography. Patients were followed for a median of 9.9 years. Estimated GFR (eGFR) was calculated using the Chronic Kidney Disease Epidemiology Collaboration eGFR creatinine-cystatin C (eGFRcreat-cys) equation. The effect of increasing HDL-C serum levels was assessed using Cox proportional hazard models. In participants with normal kidney function (eGFR>90 ml/min per 1.73 m(2)), higher HDL-C was associated with reduced risk of all-cause and cardiovascular mortality and coronary artery disease severity (hazard ratio [HR], 0.51, 95% confidence interval [95% CI], 0.26-0.92 [P=0.03]; HR, 0.30, 95% CI, 0.13-0.73 [P=0.01]). Conversely, in patients with mild (eGFR=60-89 ml/min per 1.73 m(2)) and more advanced reduced kidney function (eGFR<60 ml/min per 1.73 m(2)), higher HDL-C did not associate with lower risk for mortality (eGFR=60-89 ml/min per 1.73 m(2): HR, 0.68, 95% CI, 0.45-1.04 [P=0.07]; HR, 0.84, 95% CI, 0.50-1.40 [P=0.50]; eGFR<60 ml/min per 1.73 m(2): HR, 1.18, 95% CI, 0.60-1.81 [P=0.88]; HR, 0.82, 95% CI, 0.40-1.69 [P=0.60]). Moreover, Cox regression analyses revealed interaction between HDL-C and eGFR in predicting all-cause and cardiovascular mortality (P=0.04 and P=0.02, respectively). We confirmed a lack of association between higher HDL-C and lower mortality in an independent cohort of patients with definite CKD (P=0.63). In summary, higher HDL-C levels did not associate with reduced mortality risk and coronary artery disease severity in patients with reduced kidney function. Indeed, abnormal HDL function might confound the outcome of HDL-targeted therapies in these patients.

Indexed as

AgedCardiovascular DiseasesCholesterol, HDLCoronary AngiographyErbB ReceptorsFemaleFollow-Up StudiesGermanyHumansMaleMiddle AgedPredictive Value of TestsProspective StudiesRenal Insufficiency, ChronicCholesterol, HDLEGFR protein, humanErbB Receptors

Identifiers

PMID24610925
PMCPMC4005298
OpenAlexW2165758797

What OpenQuestion holds

Textmetadata
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.