Evidence map›Paper›PMID 41768116›Full record

ReviewJPRAS open2026

Lipedema and obesity: A narrative review and treatment protocol.

Sanskruti Rathod, Sjaak Pouwels, Jeremias Schmidt

Abstract readReview
In one paragraph

Review in JPRAS open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Sanskruti RathodDr. Panjabrao Alias Bhausaheb Deshmukh Memorial Medical College Amravati, Maharashtra, India.
Sjaak PouwelsDepartment of Surgery, University Hospital OWL of Bielefeld University - Campus Klinikum Lippe, Detmold, NRW, Germany.
Jeremias SchmidtClinic for Plastic and Aesthetic Surgery, Helios Hospital Berlin-Buch, Berlin, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Lipedema is a chronic condition characterized by abnormal fat accumulation, primarily in the lower extremities, affecting mostly women. Despite improvements in diagnosis and treatment, lipedema is often misdiagnosed as obesity or lymphedema. Patients with obesity and lipedema propose a distinct clinical challenge in treating both diseases. Improved recognition and understanding are necessary to enhance diagnosis and treatment outcomes. Purpose of this review: Lipedema is thought to be hormonally driven, often manifesting during puberty, pregnancy, or menopause. It presents as disproportionate fat accumulation in the lower body, often with microvascular changes. Misdiagnosis as obesity or lymphedema leads to ineffective treatments like weight loss programs and bariatric surgery. Effective management involves both conservative and surgical approaches, as well as a tailored strategy for patients with both lipedema and obesity. The focus of this review is to summarize the current literature addressing adequate treatment regimens for patients with both diseases and based on the literature we propose a treatment protocol. Conclusion: Patients with concurrent lipedema and obesity propose a distinct clinical challenge, in which early recognition can benefit adequate treatment. A combination of conservative measures and surgical options, particularly liposuction and/or bariatric and metabolic surgery, can be beneficial in treating patients with both diseases. However future research is needed to assess the effect of different treat regimens.

Indexed as

Compression therapyLipedemaLiposuctionLymphedemaMultidisciplinary approachObesity

Identifiers

PMID41768116
PMCPMC12936841

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.