Evidence map›Paper›PMID 29785727›Full record

ArticleObesity (Silver Spring, Md.)2018

Body Composition Profiling in the UK Biobank Imaging Study.

Jennifer Linge, Magnus Borga, Janne West, Theresa Tuthill, Melissa R Miller, Alexandra Dumitriu, E Louise Thomas, Thobias Romu, Patrik Tunón, Jimmy D Bell and 1 more

3 registry-linked trialsOpen access · hybridAbstract read
In one paragraph

Article in Obesity (Silver Spring, Md.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 140 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
140citing papers in PubMed, 4 pooled it
8.2field-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.

NCT05184283 terminatednot on this mapstarted 2022, after this paper: background citation

Longitudinal Assessment of Muscle Health in Patients Undergoing Liver Transplantation (LT) for Hepatocellular Carcinoma (HCC)

TypeobservationalSponsorColumbia UniversityRan2022 to 2023Enrolled11ConditionsNAFLD, Hepatocellular Carcinoma, Liver Diseases, Liver Cancer
NCT05477277 narecruitingnot on this mapstarted 2022, after this paper: background citation

Adverse Outcomes and Mortality in Liver Transplant

TypeinterventionalSponsorMayo ClinicRan2022 to 2027Enrolled100ConditionsEnd Stage Liver DIsease, Sarcopenia, Sarcopenic Obesity, CirrhosisArmsMAsS
NCT06014567 enrolling by invitationnot on this mapstarted 2023, after this paper: background citation

Characterising Biomarkers of Disease and Ageing in Twins Using Magnetic Resonance Imaging

TypeobservationalSponsorKing's College LondonRan2023 to 2028Enrolled2,500ConditionsAgingArmsMagnetic Resonance Imaging
3 · Its place in the literature

Who cites it

140 citing papers in PubMed, 4 syntheses or guidelines pooled it, 222 citations in OpenAlex.

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  10. Greater DJBMR plus · 2026
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  16. Adverse Muscle Composition Is Associated with All-Cause Mortality in CKD: A UK Biobank Imaging Study.Clinical journal of the American Society of Nephrology : CJASN · 2026
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80 more citing papers are in PubMed but not listed here.

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 at 3 institutions in 3 countries.

Jennifer LingeAMRA Medical AB, Linköping, Sweden.ORCID 0000-0001-7399-8375
Magnus BorgaAMRA Medical AB, Linköping, Sweden.
Janne WestAMRA Medical AB, Linköping, Sweden.
Theresa TuthillImaging, Precision Medicine, Pfizer Inc., Cambridge Massachusetts, USA.
Melissa R MillerWRD Genome Sciences & Technologies, Pfizer Inc., Cambridge, Massachusetts, USA.
Alexandra DumitriuWRD Genome Sciences & Technologies, Pfizer Inc., Cambridge, Massachusetts, USA.
E Louise ThomasResearch Centre for Optimal Health, School of Life Sciences, University of Westminster, London, UK.
Thobias RomuAMRA Medical AB, Linköping, Sweden.
Patrik TunónAMRA Medical AB, Linköping, Sweden.
Jimmy D BellResearch Centre for Optimal Health, School of Life Sciences, University of Westminster, London, UK.
Olof Dahlqvist LeinhardAMRA Medical AB, Linköping, Sweden.
Linköping University · SEPfizer (United States) · USUniversity of Westminster · GB

Funding

Medical Research Council MC_PC_17228Medical Research Council MC_QA137853
6 · The paper itself

Abstract

objectiveThis study aimed to investigate the value of imaging-based multivariable body composition profiling by describing its association with coronary heart disease (CHD), type 2 diabetes (T2D), and metabolic health on individual and population levels.

methodsThe first 6,021 participants scanned by UK Biobank were included. Body composition profiles (BCPs) were calculated, including abdominal subcutaneous adipose tissue, visceral adipose tissue (VAT), thigh muscle volume, liver fat, and muscle fat infiltration (MFI), determined using magnetic resonance imaging. Associations between BCP and metabolic status were investigated using matching procedures and multivariable statistical modeling.

resultsMatched control analysis showed that higher VAT and MFI were associated with CHD and T2D (P < 0.001). Higher liver fat was associated with T2D (P < 0.001) and lower liver fat with CHD (P < 0.05), matching on VAT. Multivariable modeling showed that lower VAT and MFI were associated with metabolic health (P < 0.001), and liver fat was nonsignificant. Associations remained significant adjusting for sex, age, BMI, alcohol, smoking, and physical activity.

conclusionsBody composition profiling enabled an intuitive visualization of body composition and showed the complexity of associations between fat distribution and metabolic status, stressing the importance of a multivariable approach. Different diseases were linked to different BCPs, which could not be described by a single fat compartment alone.

Indexed as

AdultAgedBiological Specimen BanksBody CompositionFemaleHumansMaleMiddle AgedUnited Kingdom

Identifiers

PMID29785727
PMCPMC6220857
OpenAlexW2800324981

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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.