Evidence map›Paper›PMID 40611043›Full record

ArticleBMC women's health2025

Examining the characteristic features of lipedema and the usefulness of BMI and WHtR in clinical evaluation.

Monika Czerwińska, Marcin Gruszecki, Jacek Rumiński, Rita Hansdorfer-Korzon

Abstract read
In one paragraph

Article in BMC women's health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

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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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. 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

4 authors.

Monika CzerwińskaDepartment of Physiotherapy, Medical University of Gdańsk, 7 Dębinki Street, Gdańsk, 80-211, Poland. monika.czerwinska@gumed.edu.pl.
Marcin GruszeckiDepartment of Radiology Informatics and Statistics, Faculty of Health Sciences, Medical University of Gdansk, Gdansk, Poland.
Jacek RumińskiDepartment of Biomedical Engineering, Faculty of Electronics, Telecommunications and Informatics, Gdansk University of Technology, Gdansk, Poland.
Rita Hansdorfer-KorzonDepartment of Physiotherapy, Medical University of Gdańsk, 7 Dębinki Street, Gdańsk, 80-211, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLipedema is an adipose tissue disorder involving mostly women. One of the most characteristic lipedema symptoms is painful accumulation of adipose tissue in lower and upper extremities leading to disproportion. Due to the disproportionate body shape, it is recently thought that BMI (Body Mass Index) might not be fully sufficient to identify the weight ratios among lipedema patients and it is suggested to consider replacing BMI with WHtR (Waist-to-height ratio). PURPOSE: The aim of the study is to present the characteristic features of lipedema patients and the usefulness of BMI and WHtR among lipedema patients in reference to symptoms severity, quality of life and body composition.

methodsForty-four women with lipedema were asked to rate their symptoms in a scale from 0 to 10, and to complete SF-36 questionnaire affecting quality of life. Participants also had body composition assessment.

resultsParticipants experienced various lipedema symptoms such as: heaviness in affected areas (97.7%), pain at palpation (100%), spontaneous pain (82%), disproportionate body shape and tendency to bruising (88.6%). The level of pain was strictly correlated with patients' daily functioning (R = 0.79, p = 1.9*10

conclusionLipedema symptoms have a direct impact on functioning of patients. Quality of life is decreased among women with lipedema. WHtR should be considered as a tool in identification of obesity among lipedema population.

Indexed as

Body Mass IndexLipedemaQuality of LifeWaist-Height RatioAdultAgedBody CompositionFemaleHumansMiddle AgedPainSeverity of Illness IndexSurveys and QuestionnairesBMILipedemaLipoedemaLipohyperplasia dolorosaQuality of lifeWHtR

Identifiers

PMID40611043
PMCPMC12225527

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Registered trials

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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.