Evidence map›Paper›PMID 38926461›Full record

ArticleInternational journal of obesity (2005)2024

Impact of baseline adipose tissue characteristics on change in adipose tissue volume during a low calorie diet in people with obesity-results from the LION study.

Daniela Junker, Mingming Wu, Anna Reik, Johannes Raspe, Selina Rupp, Jessie Han, Stella M Näbauer, Meike Wiechert, Arun Somasundaram, Egon Burian and 5 more

Registry-linked trialAbstract read
In one paragraph

Article in International journal of obesity (2005), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04023942 (Lifestyle Intervention Study), which is not on this map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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.

NCT04023942 nacompletednot on this map

Lifestyle Intervention Study

TypeinterventionalSponsorTechnical University of MunichRan2019 to 2024Enrolled272ConditionsObesityArmsWeight maintenance intervention
3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
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

15 authors.

Daniela JunkerInstitute of Diagnostic and Interventional Radiology, School of Medicine and Health, Technical University of Munich, Munich, Germany. daniela.junker@tum.de.ORCID 0000-0002-7598-8485
Mingming WuInstitute of Diagnostic and Interventional Radiology, School of Medicine and Health, Technical University of Munich, Munich, Germany.
Anna ReikInstitute for Nutritional Medicine, School of Medicine and Health, Technical University of Munich, Munich, Germany.ORCID 0000-0002-1752-2994
Johannes RaspeInstitute of Diagnostic and Interventional Radiology, School of Medicine and Health, Technical University of Munich, Munich, Germany.ORCID 0009-0007-9628-1511
Selina RuppInstitute of Diagnostic and Interventional Radiology, School of Medicine and Health, Technical University of Munich, Munich, Germany.
Jessie HanInstitute of Diagnostic and Interventional Radiology, School of Medicine and Health, Technical University of Munich, Munich, Germany.
Stella M NäbauerInstitute of Diagnostic and Interventional Radiology, School of Medicine and Health, Technical University of Munich, Munich, Germany.ORCID 0009-0007-2423-8311
Meike WiechertInstitute for Nutritional Medicine, School of Medicine and Health, Technical University of Munich, Munich, Germany.ORCID 0000-0003-1972-6517
Arun SomasundaramInstitute of Diagnostic and Interventional Radiology, School of Medicine and Health, Technical University of Munich, Munich, Germany.
Egon BurianInstitute of Diagnostic and Interventional Radiology, School of Medicine and Health, Technical University of Munich, Munich, Germany.
Birgit WaschulzikInstitute of AI and Informatics in Medicine, School of Medicine and Health, Technical University of Munich, Munich, Germany.ORCID 0000-0001-6365-7972
Marcus R MakowskiInstitute of Diagnostic and Interventional Radiology, School of Medicine and Health, Technical University of Munich, Munich, Germany.
Hans HaunerInstitute for Nutritional Medicine, School of Medicine and Health, Technical University of Munich, Munich, Germany.ORCID 0000-0002-1682-5088
Christina Holzapfel *Institute for Nutritional Medicine, School of Medicine and Health, Technical University of Munich, Munich, Germany.ORCID 0000-0002-0155-9338
Dimitrios C Karampinos *Institute of Diagnostic and Interventional Radiology, School of Medicine and Health, Technical University of Munich, Munich, Germany.ORCID 0000-0003-4922-3662

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectivesWeight loss outcomes vary individually. Magnetic resonance imaging (MRI)-based evaluation of adipose tissue (AT) might help to identify AT characteristics that predict AT loss. This study aimed to assess the impact of an 8-week low-calorie diet (LCD) on different AT depots and to identify predictors of short-term AT loss using MRI in adults with obesity.

methodsEighty-one adults with obesity (mean BMI 34.08 ± 2.75 kg/m², mean age 46.3 ± 10.97 years, 49 females) prospectively underwent baseline MRI (liver dome to femoral head) and anthropometric measurements (BMI, waist-to-hip-ratio, body fat), followed by a post-LCD-examination. Visceral and subcutaneous AT (VAT and SAT) volumes and AT fat fraction were extracted from the MRI data. Apparent lipid volumes based on MRI were calculated as approximation for the lipid contained in the AT. SAT and VAT volumes were subdivided into equidistant thirds along the craniocaudal axis and normalized by length of the segmentation. T-tests compared baseline and follow-up measurements and sex differences. Effect sizes on subdivided AT volumes were compared. Spearman Rank correlation explored associations between baseline parameters and AT loss. Multiple regression analysis identified baseline predictors for AT loss.

resultsFollowing the LCD, participants exhibited significant weight loss (11.61 ± 3.07 kg, p < 0.01) and reductions in all MRI-based AT parameters (p < 0.01). Absolute SAT loss exceeded VAT loss, while relative apparent lipid loss was higher in VAT (both p < 0.01). The lower abdominopelvic third showed the most significant SAT and VAT reduction. The predictor of most AT and apparent lipid losses was the normalized baseline SAT volume in the lower abdominopelvic third, with smaller volumes favoring greater AT loss (p < 0.01 for SAT and VAT loss and SAT apparent lipid volume loss).

conclusionsThe LCD primarily reduces lower abdominopelvic SAT and VAT. Furthermore, lower abdominopelvic SAT volume was detected as a potential predictor for short-term AT loss in persons with obesity.

Indexed as

Caloric RestrictionMagnetic Resonance ImagingObesityWeight LossAdipose TissueAdultBody Mass IndexFemaleHumansIntra-Abdominal FatMaleMiddle AgedProspective StudiesSubcutaneous Fat

Identifiers

PMID38926461
PMCPMC11347377

What Socratic holds

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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 Socratic graph.