Evidence map›Paper›PMID 29895699›Full record

ArticleJournal of lipid research2018

Lipid levels are inversely associated with infectious and all-cause mortality: international MONDO study results.

George A Kaysen, Xiaoling Ye, Jochen G Raimann, Yuedong Wang, Alice Topping, Len A Usvyat, Stefano Stuard, Bernard Canaud, Frank M van der Sande, Jeroen P Kooman and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of lipid research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed, 2 pooled it
7.5field-weighted citation impact, top 2% 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, 2 syntheses or guidelines pooled it, 94 citations in OpenAlex.

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  7. Association between Broad-Spectrum Antibiotic Use and Risk of Early-Onset Colorectal Cancer.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026
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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

12 authors at 6 institutions in 3 countries.

George A KaysenDepartment of Medicine, Division of Nephrology, and Biochemistry and Molecular Medicine, University of California Davis School of Medicine, Davis, CA gakaysen@ucdavis.edu.
Xiaoling YeResearch Division, Renal Research Institute, New York, NY.
Jochen G RaimannResearch Division, Renal Research Institute, New York, NY.
Yuedong WangDepartment of Statistics and Applied Probability, University of California-Santa Barbara, Santa Barbara, CA.
Alice ToppingResearch Division, Renal Research Institute, New York, NY.
Len A UsvyatResearch Division, Renal Research Institute, New York, NY.
Stefano StuardFresenius Medical Care, Bad Homburg, Germany.
Bernard CanaudFresenius Medical Care, Bad Homburg, Germany.
Frank M van der SandeDepartment of Internal Medicine, Division of Nephrology, Maastricht University Medical Center, Maastricht, The Netherlands.
Jeroen P KoomanDepartment of Internal Medicine, Division of Nephrology, Maastricht University Medical Center, Maastricht, The Netherlands.
Peter KotankoResearch Division, Renal Research Institute, New York, NY.
Monitoring Dialysis Outcomes (MONDO) Initiative
Renal Research Institute · USFresenius Medical Care (Germany) · DEMaastricht University · NLFresenius Medical Care North America (United States)Icahn School of Medicine at Mount Sinai · USUniversity of California, Santa Barbara · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiovascular (CV) events are increased 36-fold in patients with end-stage renal disease. However, randomized controlled trials to lower LDL cholesterol (LDL-C) and serum total cholesterol (TC) have not shown significant mortality improvements. An inverse association of TC and LDL-C with all-cause and CV mortality has been observed in patients on chronic dialysis. Lipoproteins also may protect against infectious diseases. We used data from 37,250 patients in the international Monitoring Dialysis Outcomes (MONDO) database to evaluate the association between lipids and infection-related or CV mortality. The study began on the first day of lipid measurement and continued for up to 4 years. We applied Cox proportional models with time-varying covariates to study associations of LDL-C, HDL cholesterol (HDL-C), and triglycerides (TGs) with all-cause, CV, infectious, and other causes of death. Overall, 6,147 patients died (19.2% from CV, 13.2% from infection, and 67.6% from other causes). After multivariable adjustment, higher LDL-C, HDL-C, and TGs were independently associated with lower all-cause death risk. Neither LDL-C nor TGs were associated with CV death, and HDL-C was associated with lower CV risk. Higher LDL-C and HDL-C were associated with a lower risk of death from infection or other non-CV causes. LDL-C was associated with reduced all-cause and infectious, but not CV mortality, which resulted in the inverse association with all-cause mortality.

Indexed as

InternationalityRenal DialysisAgedCardiovascular DiseasesCohort StudiesFemaleHumansInfectionsLipidsMaleMiddle AgedRetrospective StudiesLipidsendotoxinhemodialysishigh-density lipoprotein cholesterolinfectioninnate immune systemlow-density lipoprotein cholesterolMonitoring Dialysis Outcomestriglyceride

Identifiers

PMID29895699
PMCPMC6071781
OpenAlexW2808523401

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.