Evidence map›Paper›PMID 35500938›Full record

ArticleJournal of the American Society of Nephrology : JASN2022

The Association of Excess Body Weight with Risk of ESKD Is Mediated Through Insulin Resistance, Hypertension, and Hyperuricemia.

Josef Fritz, Wolfgang Brozek, Hans Concin, Gabriele Nagel, Julia Kerschbaum, Karl Lhotta, Hanno Ulmer, Emanuel Zitt

Open access · greenAbstract read
In one paragraph

Article in Journal of the American Society of Nephrology : JASN, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 1 pooled it
9.9field-weighted citation impact, top 1% 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

37 citing papers in PubMed, 1 synthesis or guideline pooled it, 72 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Obesity and Metabolic Health in CKD.Clinical journal of the American Society of Nephrology : CJASN · 2025
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
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

8 authors at 3 institutions in 2 countries.

Josef FritzDepartment of Medical Statistics, Informatics and Health Economics, Medical University of Innsbruck, Innsbruck, Austria.
Wolfgang BrozekAgency for Preventive and Social Medicine, Bregenz, Austria.
Hans ConcinAgency for Preventive and Social Medicine, Bregenz, Austria.
Gabriele NagelAgency for Preventive and Social Medicine, Bregenz, Austria.
Julia KerschbaumDepartment of Internal Medicine IV (Nephrology and Hypertension), Medical University of Innsbruck, Innsbruck, Austria.
Karl LhottaDepartment of Internal Medicine III (Nephrology and Dialysis), Academic Teaching Hospital Feldkirch, Feldkirch, Austria.
Hanno UlmerDepartment of Medical Statistics, Informatics and Health Economics, Medical University of Innsbruck, Innsbruck, Austria.
Emanuel ZittAgency for Preventive and Social Medicine, Bregenz, Austria.
Universität Innsbruck · ATLandeskrankenhaus Feldkirch · ATZimmer Biomet (Germany) · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInsulin resistance, hypertension, hyperuricemia, and hypercholesterolemia are hypothesized to be important intermediates in the relationship between excess body weight and CKD risk. However, the magnitude of the total effect of excess body weight on ESKD mediated through these four pathways remains to be quantified.

methodsWe applied a model for analysis of correlated mediators to population-based data from 100,269 Austrian individuals (mean age 46.4 years). Association of body mass index (BMI) was coalesced with ESKD risk into direct association. Indirect associations were mediated through the triglyceride-glucose (TyG) index (as an indicator of insulin resistance), mean arterial pressure (MAP), uric acid (UA), and total cholesterol (TC).

resultsMean follow-up was 23.1 years with 463 (0.5%) incident ESKD cases. An unhealthy metabolic profile (prevalence 32.4%) was associated with a markedly increased ESKD risk (multivariably adjusted hazard ratio (aHR), 3.57; 95% CI, 2.89 to 4.40), independent of BMI. A 5-kg/m

conclusionsTyG index, MAP, and UA, but not TC, mediate the association of BMI with ESKD in middle-aged adults. Our findings highlight that in addition to weight reduction, the control of metabolic risk factors might be essential in mitigating the adverse effects of BMI on kidney function.

Indexed as

HypertensionHyperuricemiaInsulin ResistanceAdultBiomarkersBlood GlucoseBody Mass IndexGlucoseHumansMiddle AgedRisk FactorsTriglyceridesUric AcidWeight GainBiomarkersBlood GlucoseGlucoseTriglyceridesUric Acidblood pressurebody mass indexcausal modeldialysisend-stage kidney diseaseinsulin resistancemediationobesitytriglyceride-glucose indexuric acid

Identifiers

PMID35500938
PMCPMC9257805
OpenAlexW4225282435

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.