Evidence map›Paper›PMID 36310013›Full record

ArticleObesity facts2022

Body Composition Assessment by Dual-Energy X-Ray Absorptiometry: A Useful Tool for the Diagnosis of Lipedema.

Giacomo Buso, Lucie Favre, Nathalie Vionnet, Elena Gonzalez-Rodriguez, Didier Hans, Jardena Jacqueline Puder, Céline Dubath, Chin-Bin Eap, Wassim Raffoul, Tinh-Hai Collet and 1 more

Registry-linked trialOpen access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Obesity facts, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03241121 (Study of Eating Patterns With a Smartphone App and the Metabolic Effects of Time Restricted Feeding), which is not on this map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 14% 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.

NCT03241121 nacompletednot on this map

Study of Eating Patterns With a Smartphone App and the Metabolic Effects of Time Restricted Feeding (TRF) in the Metabolic Syndrome - An Open-label Randomized Controlled Trial of TRF vs Regular Dietary Advices

TypeinterventionalSponsorUniversity of Lausanne HospitalsRan2017 to 2022Enrolled235ConditionsEating Behavior, Metabolic Syndrome, Obesity, DyslipidemiasArmsTime restricted feeding, Regular dietary advices, Eating patterns
3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Observational
  4. Observational
  5. Observational
  6. Article
  7. Review
  8. Article
  9. Vascular changes and their implications in lipedema.Frontiers in cell and developmental biology · 2026
    Review
  10. Article
  11. Article
  12. Article
  13. 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

11 authors at 3 institutions in 1 country.

Giacomo BusoAngiology Division, Heart and Vessels Department, Lausanne University Hospital, University of Lausanne, Lausanne, Switzerland, giacomo.buso@unil.ch.
Lucie FavreEndocrinology, Diabetology and Metabolism Division, Medicine Department, Lausanne University Hospital, University of Lausanne, Lausanne, Switzerland.
Nathalie VionnetEndocrinology, Diabetology and Metabolism Division, Medicine Department, Lausanne University Hospital, University of Lausanne, Lausanne, Switzerland.
Elena Gonzalez-RodriguezLocomotor System Department, Interdisciplinary Centre for Bone Diseases, Lausanne University Hospital, University of Lausanne, Lausanne, Switzerland.
Didier HansLocomotor System Department, Interdisciplinary Centre for Bone Diseases, Lausanne University Hospital, University of Lausanne, Lausanne, Switzerland.
Jardena Jacqueline PuderObstetric Service, Department Woman-Mother-Child, Lausanne University Hospital, University of Lausanne, Lausanne, Switzerland.
Céline DubathDepartment of Psychiatry, Unit of Pharmacogenetics and Clinical Psychopharmacology, Center for Psychiatric Neuroscience, Lausanne University Hospital, University of Lausanne, Prilly, Switzerland.
Chin-Bin EapDepartment of Psychiatry, Unit of Pharmacogenetics and Clinical Psychopharmacology, Center for Psychiatric Neuroscience, Lausanne University Hospital, University of Lausanne, Prilly, Switzerland.
Wassim RaffoulPlastic Surgery Division, Locomotor System Department, Lausanne University Hospital, University of Lausanne, Lausanne, Switzerland.
Tinh-Hai ColletEndocrinology, Diabetology and Metabolism Division, Medicine Department, Lausanne University Hospital, University of Lausanne, Lausanne, Switzerland.
Lucia MazzolaiAngiology Division, Heart and Vessels Department, Lausanne University Hospital, University of Lausanne, Lausanne, Switzerland.
University of Lausanne · CHUniversity Hospital of Geneva · CHUniversity of Geneva · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionLipedema is a poorly known condition. Diagnosis is based almost exclusively on clinical criteria, which may be subjective and not always reliable. This study aimed to investigate regional body composition (BC) by dual-energy X-ray absorptiometry (DXA) in patients with lipedema and healthy controls and to determine cut-off values of fat mass (FM) indices to provide an additional tool for the diagnosis and staging of this condition.

methodsThis study is a single-center case-control study performed at Lausanne University Hospital, Switzerland. Women with clinically diagnosed lipedema underwent regional BC assessment by DXA. The control group without clinical lipedema was matched for age and body mass index (BMI) at a ratio of 1:2 and underwent similar examination. Regional FM (legs, arms, legs and arms, trunk, android and gynoid FM) was measured in (kg) and divided by FM index (FMI) (kg/m2) and total FM (kg). The trunk/legs and android/gynoid ratios were calculated. For all indices of FM distribution showing a significant difference between cases and controls, we defined the receiver operating characteristic (ROC) curves, calculating the area under the curve (AUC), sensitivity, specificity, and Youden's index. Types and stages of lipedema were compared in terms of FM indices. Correlation analyses between all FM distribution indices and lipedema stages were performed.

resultsWe included 222 women (74 with lipedema and 148 controls). Overall, the mean age was 41 years (standard deviation [SD] 11), and mean BMI was 30.9 kg/m2 (SD 7.6). A statistically significant difference was observed for all DXA-derived indices of FM distribution between groups, except for arm FM indices. The ROC curve analysis of leg FM/total FM, as a potential indicator of lipedema, resulted in an AUC of 0.90 (95% confidence interval 0.86-0.94). According to Youden's index, optimal cut-off value identifying lipedema was 0.384. Sensitivity and specificity were 0.95 and 0.73, respectively. We found no significant differences between lipedema types and stages in terms of FM indices, nor significant correlations between the latter and lipedema stages. DISCUSSION/

conclusionBC assessment by DXA, and particularly calculation of the leg FM/total FM index, is a simple tool that may help clinicians rule out lipedema in doubtful cases.

Indexed as

LipedemaAbsorptiometry, PhotonAdultBody CompositionBody Mass IndexCase-Control StudiesFemaleHumansBody compositionDiagnostic testDual-energy X-ray absorptiometryLipedema

Identifiers

PMID36310013
PMCPMC9801362
OpenAlexW4307713689

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.