Evidence map›Paper›PMID 35737073›Full record

ArticleToxins2022

Lipid Profile Is Negatively Associated with Uremic Toxins in Patients with Kidney Failure-A Tri-National Cohort.

Sam Hobson, Henriette de Loor, Karolina Kublickiene, Joachim Beige, Pieter Evenepoel, Peter Stenvinkel, Thomas Ebert

Open access · goldAbstract read
In one paragraph

Article in Toxins, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 16% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
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  9. Article
  10. Review
  11. Blood-Brain Barrier Biomarkers before and after Kidney Transplantation.International journal of molecular sciences · 2023
    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

7 authors at 3 institutions in 3 countries.

Sam HobsonDivision of Renal Medicine, Department of Clinical Science, Intervention and Technology, Karolinska Institutet, SE-17177 Stockholm, Sweden.
Henriette de LoorNephrology and Renal Transplantation Research Group, Department of Microbiology, Immunology and Transplantation, Katholieke Universiteit Leuven, BE-3000 Leuven, Belgium.
Karolina KublickieneDivision of Renal Medicine, Department of Clinical Science, Intervention and Technology, Karolinska Institutet, SE-17177 Stockholm, Sweden.
Joachim BeigeDivision of Nephrology and KfH Renal Unit, Hospital St. Georg, 04129 Leipzig, Germany.
Pieter EvenepoelNephrology and Renal Transplantation Research Group, Department of Microbiology, Immunology and Transplantation, Katholieke Universiteit Leuven, BE-3000 Leuven, Belgium.
Peter StenvinkelDivision of Renal Medicine, Department of Clinical Science, Intervention and Technology, Karolinska Institutet, SE-17177 Stockholm, Sweden.ORCID 0000-0002-8785-4820
Thomas EbertDivision of Renal Medicine, Department of Clinical Science, Intervention and Technology, Karolinska Institutet, SE-17177 Stockholm, Sweden.ORCID 0000-0003-1683-9276
Karolinska Institutet · SEKU Leuven · BEKlinikum St. Georg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patients with kidney failure (KF) have a high incidence of cardiovascular (CV) disease, partly driven by insufficient clearance of uremic toxins. Recent investigations have questioned the accepted effects of adverse lipid profile and CV risk in uremic patients. Therefore, we related a panel of uremic toxins previously associated with CV morbidity/mortality to a full lipid profile in a large, tri-national, cross-sectional cohort. Total, high-density lipoprotein (HDL), non-HDL, low-density lipoprotein (LDL), and remnant cholesterol, as well as triglyceride, levels were associated with five uremic toxins in a cohort of 611 adult KF patients with adjustment for clinically relevant covariates and other patient-level variables. Univariate analyses revealed negative correlations of total, non-HDL, and LDL cholesterol with all investigated uremic toxins. Multivariate linear regression analyses confirmed independent, negative associations of phenylacetylglutamine with total, non-HDL, and LDL cholesterol, while indole-3 acetic acid associated with non-HDL and LDL cholesterol. Furthermore, trimethylamine-N-Oxide was independently and negatively associated with non-HDL cholesterol. Sensitivity analyses largely confirmed findings in the entire cohort. In conclusion, significant inverse associations between lipid profile and distinct uremic toxins in KF highlight the complexity of the uremic milieu, suggesting that not all uremic toxin interactions with conventional CV risk markers may be pathogenic.

Indexed as

Cardiovascular DiseasesRenal InsufficiencyAdultCholesterolCholesterol, LDLCross-Sectional StudiesHumansTriglyceridesUremic ToxinsCholesterolCholesterol, LDLTriglyceridesUremic Toxinscholesterollipidslipoproteinsrenal diseasetriglyceridesuremic retention solutesuremic toxins

Identifiers

PMID35737073
PMCPMC9231137
OpenAlexW4283164570

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.