Evidence map›Paper›PMID 39227868›Full record

ArticleDiabetology & metabolic syndrome2024

Anthropometric measurements as a key diagnostic tool for familial partial lipodystrophy in women.

Victor Rezende Veras, Grayce Ellen da Cruz Paiva Lima, Ivana da Ponte Melo, Virginia Oliveira Fernandes, Fabia Karine de Moura Lopes, Camila Lopes do Amaral, Maria Helane Gurgel Castelo, Larissa Luna Queiroz, Jessica Silveira Araújo, Cynthia Melissa Valerio and 1 more

Abstract read
In one paragraph

Article in Diabetology & metabolic syndrome, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
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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.

Victor Rezende VerasBrazilian Group for the Study of Inherited and Acquired Lipodystrophies (BRAZLIPO), Fortaleza, CE, Brazil.ORCID http://orcid.org/0000-0002-3524-3737
Grayce Ellen da Cruz Paiva LimaBrazilian Group for the Study of Inherited and Acquired Lipodystrophies (BRAZLIPO), Fortaleza, CE, Brazil.ORCID http://orcid.org/0000-0001-7784-4269
Ivana da Ponte MeloBrazilian Group for the Study of Inherited and Acquired Lipodystrophies (BRAZLIPO), Fortaleza, CE, Brazil.ORCID http://orcid.org/0000-0002-5638-4221
Virginia Oliveira FernandesBrazilian Group for the Study of Inherited and Acquired Lipodystrophies (BRAZLIPO), Fortaleza, CE, Brazil.ORCID http://orcid.org/0000-0002-4311-6551
Fabia Karine de Moura LopesBrazilian Group for the Study of Inherited and Acquired Lipodystrophies (BRAZLIPO), Fortaleza, CE, Brazil.ORCID http://orcid.org/0000-0001-5964-858X
Camila Lopes do AmaralBrazilian Group for the Study of Inherited and Acquired Lipodystrophies (BRAZLIPO), Fortaleza, CE, Brazil.ORCID http://orcid.org/0000-0001-7675-6910
Maria Helane Gurgel CasteloBrazilian Group for the Study of Inherited and Acquired Lipodystrophies (BRAZLIPO), Fortaleza, CE, Brazil.ORCID http://orcid.org/0000-0003-3816-5612
Larissa Luna QueirozBrazilian Group for the Study of Inherited and Acquired Lipodystrophies (BRAZLIPO), Fortaleza, CE, Brazil.ORCID http://orcid.org/0000-0003-2874-5189
Jessica Silveira AraújoBrazilian Group for the Study of Inherited and Acquired Lipodystrophies (BRAZLIPO), Fortaleza, CE, Brazil.ORCID http://orcid.org/0009-0003-5418-022X
Cynthia Melissa ValerioIEDE, Rio de Janeiro, RJ, Brazil.ORCID http://orcid.org/0000-0003-2292-1735
Renan Magalhães Montenegro JuniorBrazilian Group for the Study of Inherited and Acquired Lipodystrophies (BRAZLIPO), Fortaleza, CE, 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

backgroundFamilial Partial Lipodystrophy (FPLD) is a disease with wide clinical and genetic variation, with seven different subtypes described. Until genetic testing becomes feasible in clinical practice, non-invasive tools are used to evaluate body composition in lipodystrophic patients. This study aimed to analyze the different anthropometric parameters used for screening and diagnosis of FPLD, such as thigh skinfold thickness (TS), Köb index (Köbi), leg fat percentage (LFP), fat mass ratio (FMR) and leg-to-total fat mass ratio in grams (LTR), by dual-energy X-ray absorptiometry, focusing on determining cutoff points for TS and LFP within a Brazilian population.

methodsThirty-seven patients with FPLD and seventy-four healthy controls matched for body mass index, sex and age were studied. Data were collected through medical record review after signing informed consent. All participants had body fat distribution evaluated by skinfolds and DXA measures. Fasting blood samples were collected to evaluate glycemic and lipid profiles. Genetic studies were carried out on all patients. Two groups were categorized based on genetic testing and/or anthropometric characteristics: FPLD+ (positive genetic test) and FPLD1 (negative genetic testing, but positive clinical/anthropometric criteria for FPLD).

resultsEighteen (48.6%) patients were classified as FPLD+, and 19 (51.4%) as FPLD1. Unlike what is described in the literature, the LMNA variant in codon 582 was the most common. Among the main diagnostic parameters of FPLD, a statistical difference was observed between the groups for, Köbi, TS, LFP, FMR, and LTR. A cutoff point of 20 mm for TS in FPLD women was found, which is lower than the value classically described in the literature for the diagnosis of FPLD. Additionally, an LFP < 29.6% appears to be a useful tool to aid in the diagnosis of these women.

conclusionCombining anthropometric measurements to assess body fat distribution can lead to a more accurate diagnosis of FPLD. This study suggests new cutoff points for thigh skinfold and leg fat percentage in women with suspected FPLD in Brazil. Further studies are needed to confirm these findings.

Indexed as

Body compositionDual-energy X-ray absorptiometry (DXA)Familial partial lipodystrophyLipodystrophy

Identifiers

PMID39227868
PMCPMC11373399

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