Evidence map›Paper›PMID 28086977›Full record

ArticleBMC research notes2017

People living with HIV on ART have accurate perception of lipodystrophy signs: a cross-sectional study.

Paulo R Alencastro, Nemora T Barcellos, Fernando H Wolff, Maria Letícia R Ikeda, Fabiana Schuelter-Trevisol, Ajácio B M Brandão, Sandra C Fuchs

Open access · goldAbstract read
In one paragraph

Article in BMC research notes, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 15% 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.

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

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

  1. Pooled it
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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

7 authors at 3 institutions in 2 countries.

Paulo R AlencastroHospital Sanatório Partenon, State Department of Health, Rio Grande do Sul. Av. Bento Gonçalves, 3722, Porto Alegre, RS, 90650-001, Brazil.
Nemora T BarcellosPost-graduate Program of Collective Health, Universidade do Vale do Rio dos Sinos, Av. Unisinos, 950, São Leopoldo, RS, 93022-750, Brazil.
Fernando H WolffPostgraduate Studies Program in Sciences in Gastroenterology and Hepatology, School of Medicine, Universidade Federal do Rio Grande do Sul, R. Ramiro Barcelos 2600, Porto Alegre, RS, 90035-003, Brazil.
Maria Letícia R IkedaPost-graduate Program of Collective Health, Universidade do Vale do Rio dos Sinos, Av. Unisinos, 950, São Leopoldo, RS, 93022-750, Brazil.
Fabiana Schuelter-TrevisolPostgraduate Studies Program in Cardiology, School of Medicine, Universidade Federal do Rio Grande do Sul, R. Ramiro Barcelos 2600, Porto Alegre, RS, 90035-003, Brazil.
Ajácio B M BrandãoPost Graduate Studies Program in Medicine-Hepatology, Universidade Federal de Ciências da Saúde de Porto Alegre, R. Sarmento Leite, 245, Porto Alegre, RS, 90050-170, Brazil.
Sandra C FuchsPostgraduate Studies Program in Cardiology, School of Medicine, Universidade Federal do Rio Grande do Sul, R. Ramiro Barcelos 2600, Porto Alegre, RS, 90035-003, Brazil. scfuchs@terra.com.br.ORCID http://orcid.org/0000-0001-6351-9588
Universidade Federal do Rio Grande do Sul · BRUniversidade do Vale do Rio dos Sinos · BRUniversidade Federal de Ciências da Saúde de Porto Alegre · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe prevalence of lipodystrophy ranges from 31 to 65%, depending on the criteria adopted for diagnosis. The usual methods applied in the diagnosis vary from self-perception, medical examination, skinfolds measurements, or even imaging assessment for confirmation of fat distribution changes. Although several methods have been developed, there is no gold standard for characterization of LA and LH, or mixed forms. This study aimed to compare self-reported signs of lipodystrophy with objective measures by skinfolds and circumferences, and to evaluate the prevalence of lipoatrophy (LA) and lipohypertrophy (LH) among subjects living with HIV/AIDS on ART.

methodsA cross-sectional study enrolled participants living with HIV/AIDS receiving ART, aged 18 years or older from an outpatient health care center, in Southern Brazil. Self-reported body fat enlargement in the abdomen, chest or breasts, and dorsocervical fat pad were used to determine LH, while LA was identified by self-reported fat wasting of the face, neck, legs, arms or buttocks. Measurements were obtained with a scientific caliper for infraorbital, buccal, and submandibular skinfolds, and using an inelastic tape to measure circumferences of waist, hip, neck, and arm. LH and LA were established by the presence of at least one self-reported sign.

resultsComparisons of self-reported signs with objective measurements for men and women were carried out in 815 participants on ART, out of 1240 participants with HIV infection. Self-report of decreased facial fat and sunken cheeks was associated with lower infraorbital, buccal, and submandibular skinfolds. Participants who reported buffalo hump had, on average, greater neck circumference, as well as those who have increased waist circumference also reported abdominal enlargement, but no buttock wasting. Men were most commonly affected by lipoatrophy (73 vs. 53%; P < 0.001), and women by lipohypertrophy (79 vs. 56%; P < 0.001).

conclusionIn conclusion, self-reported signs of lipodystrophy and lipoatrophy are prevalent, differ by gender, and are associated with objective measurements in people living with HIV/AIDS.

Indexed as

Body ImageAdultAnti-HIV AgentsBrazilCross-Sectional StudiesFemaleHIV InfectionsHumansLipodystrophyMaleMiddle AgedAnti-HIV AgentsAIDSHIVLipoatrophyLipodystrophyLipohypertrophy

Identifiers

PMID28086977
PMCPMC5234247
OpenAlexW2578778188

What OpenQuestion holds

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LicenceCC BY
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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.