Evidence map›Paper›PMID 38660121›Full record

ArticleClinical kidney journal2024

Associations of MRI-derived kidney volume, kidney function, body composition and physical performance in ≈38 000 UK Biobank participants: a population-based observational study.

Jeong Min Cho, Jung Hun Koh, Seong Geun Kim, Soojin Lee, Yaerim Kim, Semin Cho, Kwangsoo Kim, Yong Chul Kim, Seung Seok Han, Hajeong Lee and 6 more

Open access · goldAbstract read
In one paragraph

Article in Clinical kidney journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
10.0field-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

7 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Magnetic resonance imaging of renal oxygenation.Nature reviews. Nephrology · 2025
    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

16 authors at 4 institutions in 1 country.

Jeong Min ChoDepartment of Translational Medicine, Seoul National University College of Medicine, Seoul, Korea.
Jung Hun KohDepartment of Translational Medicine, Seoul National University College of Medicine, Seoul, Korea.
Seong Geun KimDepartment of Internal Medicine, Inje University Sanggye Paik Hospital, Seoul, Korea.
Soojin LeeDepartment of Internal Medicine, Uijeongbu Eulji University Medical Center, Uijeongbu, Korea.
Yaerim KimDepartment of Internal Medicine, Keimyung University School of Medicine, Daegu, Korea.ORCID https://orcid.org/0000-0003-1596-1528
Semin ChoDepartment of Internal Medicine, Chung-Ang University Gwangmyeong Hospital, Gyeonggi-do, Korea.ORCID https://orcid.org/0000-0002-6060-9032
Kwangsoo KimTransdisciplinary Department of Medicine & Advanced Technology, Seoul National University Hospital, Seoul, Korea.
Yong Chul KimDepartment of Internal Medicine, Seoul National University Hospital, Seoul, Korea.
Seung Seok HanDepartment of Internal Medicine, Seoul National University Hospital, Seoul, Korea.ORCID https://orcid.org/0000-0003-0137-5261
Hajeong LeeDepartment of Internal Medicine, Seoul National University Hospital, Seoul, Korea.ORCID https://orcid.org/0000-0002-1873-1587
Jung Pyo LeeDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea.
Kwon Wook JooDepartment of Internal Medicine, Seoul National University Hospital, Seoul, Korea.
Chun Soo LimDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea.
Yon Su KimDepartment of Internal Medicine, Seoul National University Hospital, Seoul, Korea.
Dong Ki KimDepartment of Internal Medicine, Seoul National University Hospital, Seoul, Korea.ORCID https://orcid.org/0000-0002-5195-7852
Sehoon ParkDepartment of Internal Medicine, Seoul National University Hospital, Seoul, Korea.
Seoul National University · KRChung-Ang University Hospital · KRInje University Sanggye Paik Hospital · KRSeoul National University Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Kidney volume is used as a predictive and therapeutic marker for several clinical conditions. However, there is a lack of large-scale studies examining the relationship between kidney volume and various clinicodemographic factors, including kidney function, body composition and physical performance. Methods: In this observational study, MRI-derived kidney volume measurements from 38 526 UK Biobank participants were analysed. Major kidney volume-related measures included body surface area (BSA)-adjusted total kidney volume (TKV) and the difference in bilateral kidneys. Multivariable-adjusted linear regression and cubic spline analyses were used to explore the association between kidney volume-related measures and clinicodemographic factors. Cox or logistic regression was used to identify the risks of death, non-kidney cancer, myocardial infarction, ischaemic stroke and chronic kidney disease (CKD). Results: The median of BSA-adjusted TKV and the difference in kidney volume were 141.9 ml/m Conclusion: Higher BSA-adjusted TKV and lower differences in bilateral kidney volumes are associated with higher kidney function, muscle volume and physical performance and a reduced risk of CKD.

Indexed as

chronic kidney failureglomerular filtration ratekidney function testsmagnetic resonance imagingorgan size

Identifiers

PMID38660121
PMCPMC11040514
OpenAlexW4392865677

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.