Evidence map›Paper›PMID 41074178›Full record

ArticleDiabetology & metabolic syndrome2025

Calf skinfold measurements as a diagnostic tool for lipodystrophy syndromes: a cross-sectional study.

Grayce Ellen da Cruz Paiva Lima, Fabia Karine de Moura Lopes, Jessica Silveira Araújo, Natália Prado Boris, Virginia Oliveira Fernandes, Victor Rezende Veras, Mayara Teixeira Alexandrino Sales, Lorena Taúsz Tavares Ramos, Amanda Caboclo Flor, Ana Paula Dias Rangel Montenegro and 5 more

Abstract read
In one paragraph

Article in Diabetology & metabolic syndrome, 2025. 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

15 authors.

Grayce Ellen da Cruz Paiva LimaBrazilian Group for the Study of Inherited and Acquired Lipodystrophies (BRAZLIPO), Fortaleza, Brazil.ORCID http://orcid.org/0000-0001-7784-4269
Fabia Karine de Moura LopesBrazilian Group for the Study of Inherited and Acquired Lipodystrophies (BRAZLIPO), Fortaleza, Brazil.ORCID http://orcid.org/0000-0001-5964-858X
Jessica Silveira AraújoBrazilian Group for the Study of Inherited and Acquired Lipodystrophies (BRAZLIPO), Fortaleza, Brazil.ORCID http://orcid.org/0009-0003-5418-022X
Natália Prado BorisBrazilian Group for the Study of Inherited and Acquired Lipodystrophies (BRAZLIPO), Fortaleza, Brazil.ORCID http://orcid.org/0000-0003-3006-3574
Virginia Oliveira FernandesBrazilian Group for the Study of Inherited and Acquired Lipodystrophies (BRAZLIPO), Fortaleza, Brazil.ORCID http://orcid.org/0000-0002-4311-6551
Victor Rezende VerasBrazilian Group for the Study of Inherited and Acquired Lipodystrophies (BRAZLIPO), Fortaleza, Brazil.ORCID http://orcid.org/0000-0002-3524-3737
Mayara Teixeira Alexandrino SalesBrazilian Group for the Study of Inherited and Acquired Lipodystrophies (BRAZLIPO), Fortaleza, Brazil.ORCID http://orcid.org/0000-0002-8294-7227
Lorena Taúsz Tavares RamosBrazilian Group for the Study of Inherited and Acquired Lipodystrophies (BRAZLIPO), Fortaleza, Brazil.ORCID http://orcid.org/0000-0002-2364-5499
Amanda Caboclo FlorBrazilian Group for the Study of Inherited and Acquired Lipodystrophies (BRAZLIPO), Fortaleza, Brazil.ORCID http://orcid.org/0000-0002-4698-0126
Ana Paula Dias Rangel MontenegroBrazilian Group for the Study of Inherited and Acquired Lipodystrophies (BRAZLIPO), Fortaleza, Brazil.ORCID http://orcid.org/0000-0002-8353-2912
Maria Helane Gurgel CasteloBrazilian Group for the Study of Inherited and Acquired Lipodystrophies (BRAZLIPO), Fortaleza, Brazil.ORCID http://orcid.org/0000-0003-3816-5612
Clarisse Mourao Melo PonteBrazilian Group for the Study of Inherited and Acquired Lipodystrophies (BRAZLIPO), Fortaleza, Brazil.ORCID http://orcid.org/0000-0001-6248-8521
Júlia Lemos Lima VerdeBrazilian Group for the Study of Inherited and Acquired Lipodystrophies (BRAZLIPO), Fortaleza, Brazil.ORCID http://orcid.org/0009-0008-5295-2480
Maria C Foss-FreitasBrazilian Group for the Study of Inherited and Acquired Lipodystrophies (BRAZLIPO), Fortaleza, Brazil.ORCID http://orcid.org/0000-0002-1350-1125
Renan Magalhães Montenegro JuniorBrazilian Group for the Study of Inherited and Acquired Lipodystrophies (BRAZLIPO), Fortaleza, Brazil. renanmmjr@gmail.com.ORCID http://orcid.org/0000-0001-7287-8726

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLipodystrophy syndromes (LS) are characterized by reduced body fat and associated metabolic complications, such as insulin resistance and diabetes. The diagnosis of LS can be challenging in clinical settings. Skinfold measurement and body composition assessment using DEXA are commonly used for screening and diagnosis. This study aimed to identify alternative easy-to-use body composition parameters for diagnosing LS in clinical settings.

methodsThis cross-sectional study included patients with genetically confirmed congenital generalized lipodystrophy (CGL) and familial partial lipodystrophy (FPL), with 62 matched healthy controls. Comprehensive data, including medical history, body composition, laboratory measurements, and imaging parameters, were collected. The receiver operating characteristic (ROC) curve was constructed using genetic test results, the gold standard for diagnosing genetic lipodystrophy, as the reference, and the sensitivity and specificity of calf skinfold measurements were measured with those of the genetic tests.

resultsWe included 62 patients with a mean age of 32 ± 18 (2-68) years, of whom 69.3% were women. The prevalence of diabetes mellitus (70%) and hypertriglyceridemia (83%) were also high. All body composition parameters significantly differed, except for calf skinfold measurements, which were similar between the CGL and FPL patients (p = 0.270). The ROC curve analysis identified a new cutoff point for calf skinfold measurement of <8 mm, with high diagnostic accuracy.

conclusionsThis study identified calf skinfold measurements <8 mm as an accurate diagnostic tool for CGL and FPL. Notably, clinical accessibility to calf skinfold will favor its widespread use, standardization, and inclusion in physical examination protocols, improving lipodystrophy detection and diagnosis.

Indexed as

Adipose tissueBody compositionCalf skinfold measurementGenetic diagnosisLipodystrophyMetabolic disordersScreening

Identifiers

PMID41074178
PMCPMC12512400

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.