Evidence map›Paper›PMID 42707997›Full record

ArticleClinical kidney journal2026

Sex- and age-specific associations between body composition markers and estimated glomerular filtration rate-results of a population-based study.

Marlene Agnes Günther, Till Ittermann, Henry Völzke, Sylvia Stracke, Karlhans Endlich, Robin Bülow, Matthias Nauck, Mats Wiese, Ali Aghdassi, Marcello Ricardo Paulista Markus and 1 more

Abstract read
In one paragraph

Article in Clinical kidney journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Marlene Agnes GüntherDepartment of Internal Medicine A, University Medicine, Greifswald, Germany.ORCID https://orcid.org/0009-0008-0056-5665
Till IttermannInstitute for Community Medicine, University Medicine, Greifswald, Germany.ORCID https://orcid.org/0000-0002-0154-7353
Henry VölzkeInstitute for Community Medicine, University Medicine, Greifswald, Germany.
Sylvia StrackeDepartment of Internal Medicine A, University Medicine, Greifswald, Germany.
Karlhans EndlichInstitute of Anatomy and Cell Medicine, University Medicine, Greifswald, Germany.
Robin BülowInstitute for Diagnostic Radiology and Neuroradiology, University Medicine, Greifswald, Germany.ORCID https://orcid.org/0000-0003-1884-5784
Matthias NauckInstitute of Clinical Chemistry and Laboratory Medicine, University Medicine, Greifswald, Germany.
Mats WieseDepartment of Food, Nutrition, Facilities, University of Applied Sciences Münster, Germany.
Ali AghdassiDepartment of Internal Medicine A, University Medicine, Greifswald, Germany.ORCID https://orcid.org/0000-0002-0569-7316
Marcello Ricardo Paulista MarkusDepartment of Internal Medicine B, University Medicine Greifswald, Greifswald, Germany.
Sabrina von RheinbabenDepartment of Internal Medicine C, University Medicine Greifswald, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Recent studies have indicated that body composition may affect kidney function. The aim of this study was to examine the sex- and age-related association between body composition markers and the estimated glomerular filtration rate (eGFR). Methods: Analyses were based on data from the population-based 'Study of Health in Pomerania' (SHIP), including data from 4211 individuals enrolled in the SHIP Trend-0 cohort. Body composition markers included measurements from classic anthropometry (body mass index, waist-to-hip ratio), body impedance analysis and magnetic resonance imaging (subcutaneous, hepatic and visceral fat mass). The eGFR was estimated using creatinine- and Cystatin C-based formulas. Cross-sectional analysis was performed using linear regression models adjusted for confounding variables. Results: Generally, higher values of body composition markers were associated with lower eGFR levels for all formulas, while higher relative fat-free mass was associated with higher eGFR. The effects were more pronounced in women compared to men. Regarding age dependency, increased values of body or fat mass were associated with higher eGFR in younger age groups, but with lower eGFR in older age groups. In contrast, higher relative fat-free mass was associated with increased eGFR in older age groups. Conclusions: Increased body and fat mass, regardless of distribution, and a lower percentage of muscle mass are associated with lower eGFR especially in women and older individuals.

Indexed as

agebody compositionchronic kidney diseasekidney functionsex difference

Identifiers

PMID42707997
PMCPMC13548852

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.