Evidence map›Paper›PMID 38627329›Full record

ArticleEndocrine2024

Hypertension and diabetes, but not leptin and adiponectin, mediate the relationship between body fat and chronic kidney disease.

Robin Lengton, Friedo W Dekker, Elisabeth F C van Rossum, Johan W de Fijter, Frits R Rosendaal, Ko Willems van Dijk, Ton J Rabelink, Saskia Le Cessie, Renée de Mutsert, Ellen K Hoogeveen

Open access · hybridAbstract read
In one paragraph

Article in Endocrine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
3.3field-weighted citation impact, top 9% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
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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

10 authors at 2 institutions in 1 country.

Robin LengtonDepartment of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands. r.lengton@lumc.nl.ORCID 0000-0001-5666-4824
Friedo W DekkerDepartment of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands.ORCID 0000-0002-2433-2494
Elisabeth F C van RossumDepartment of Internal Medicine, Division of Endocrinology, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands.ORCID 0000-0003-0120-4913
Johan W de FijterDepartment of Nephrology, Leiden University Medical Center, Leiden, The Netherlands.ORCID 0000-0003-3076-5584
Frits R RosendaalDepartment of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands.ORCID 0000-0003-2558-7496
Ko Willems van DijkDepartment of Human Genetics and Medicine, Division of Endocrinology, Leiden University Medical Center, Leiden, The Netherlands.ORCID 0000-0002-2172-7394
Ton J RabelinkDepartment of Nephrology, Leiden University Medical Center, Leiden, The Netherlands.ORCID 0000-0001-6780-5186
Saskia Le CessieDepartment of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands.ORCID 0000-0002-6089-8962
Renée de MutsertDepartment of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands.ORCID 0000-0002-5470-0673
Ellen K HoogeveenDepartment of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands.ORCID 0000-0002-5482-2013
Leiden University Medical Center · NLErasmus MC · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeObesity may promote kidney damage through hemodynamic and hormonal effects. We investigated the association between body mass index (BMI), total body fat (TBF) and chronic kidney disease (CKD) and whether hypertension, diabetes, leptin and adiponectin mediated these associations.

methodsIn this cross-sectional analysis of the Netherlands Epidemiology of Obesity study, 6671 participants (45-65 y) were included. We defined CKD as eGFR <60 ml/min/1.73 m

resultsAt baseline mean (SD) age was 56 (6), BMI 26.3 (4.4), 44% men, and 4% had CKD. Higher BMI and TBF were associated with 1.08 (95%CI 1.05; 1.11) and 1.05-fold (95%CI 1.02; 1.08) increased odds of CKD, respectively. As adiponectin was not associated with any of the outcomes, it was not studied further as a mediating factor. The association between BMI and CKD was 8.5% (95%CI 0.5; 16.5) mediated by diabetes and 22.3% (95%CI 7.5; 37.2) by hypertension. In addition, the association between TBF and CKD was 9.6% (95%CI -0.4; 19.6) mediated by diabetes and 22.4% (95%CI 4.2; 40.6) by hypertension. We could not confirm mediation by leptin in the association between BMI and CKD (35.6% [95%CI -18.8; 90.3]), nor between TBF and CKD (59.7% [95%CI -7.1; 126.6]).

conclusionOur results suggest that the relations between BMI, TBF and CKD are in part mediated by diabetes and hypertension.

Indexed as

AdiponectinBody Mass IndexHypertensionLeptinRenal Insufficiency, ChronicAdipose TissueAgedCross-Sectional StudiesDiabetes MellitusFemaleHumansMaleMiddle AgedNetherlandsObesityAdiponectinADIPOQ protein, humanLEP protein, humanLeptinAdiponectinDiabetesHypertensionKidneyLeptinObesity

Identifiers

PMID38627329
PMCPMC11316711
OpenAlexW4394857133

What OpenQuestion holds

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LicenceCC BY
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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.