Evidence map›Paper›PMID 34130736›Full record

ArticleDiabetology & metabolic syndrome2021

SARS-COV-2 infection outcomes in patients with congenital generalized lipodystrophy.

Mayara Ponte Madeira, Erika Bastos Lima Freire, Virginia Oliveira Fernandes, Grayce Ellen da Cruz Paiva Lima, Ivana da Ponte Melo, Ana Paula Dias Rangel Montenegro, José Ednésio da Cruz Freire, Caroline de Fátima Aquino Moreira-Nunes, Raquel Carvalho Montenegro, Jeová Keny Baima Colares and 2 more

Open access · goldAbstract read
In one paragraph

Article in Diabetology & metabolic syndrome, 2021. 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
0.2field-weighted citation impact, top 52% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
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

12 authors at 2 institutions in 1 country.

Mayara Ponte MadeiraClinical Research Unit, Walter Cantidio University Hospital, Federal University of Ceará, Bloco das Ilhas - 1º Andar, Fortaleza, CE, 60430-270, Brazil.
Erika Bastos Lima FreireClinical Research Unit, Walter Cantidio University Hospital, Federal University of Ceará, Bloco das Ilhas - 1º Andar, Fortaleza, CE, 60430-270, Brazil.
Virginia Oliveira FernandesClinical Research Unit, Walter Cantidio University Hospital, Federal University of Ceará, Bloco das Ilhas - 1º Andar, Fortaleza, CE, 60430-270, Brazil.
Grayce Ellen da Cruz Paiva LimaClinical Research Unit, Walter Cantidio University Hospital, Federal University of Ceará, Bloco das Ilhas - 1º Andar, Fortaleza, CE, 60430-270, Brazil.
Ivana da Ponte MeloClinical Research Unit, Walter Cantidio University Hospital, Federal University of Ceará, Bloco das Ilhas - 1º Andar, Fortaleza, CE, 60430-270, Brazil.
Ana Paula Dias Rangel MontenegroClinical Research Unit, Walter Cantidio University Hospital, Federal University of Ceará, Bloco das Ilhas - 1º Andar, Fortaleza, CE, 60430-270, Brazil.
José Ednésio da Cruz FreireClinical Research Unit, Walter Cantidio University Hospital, Federal University of Ceará, Bloco das Ilhas - 1º Andar, Fortaleza, CE, 60430-270, Brazil.
Caroline de Fátima Aquino Moreira-NunesDrug Research and Development Center (NPDM), Federal University of Ceará, Fortaleza, CE, Brazil.
Raquel Carvalho MontenegroDepartment of Clinical Medicine, Federal University of Ceará, Fortaleza, CE, Brazil.
Jeová Keny Baima ColaresPostGraduate Program in Medical Sciences, University of Fortaleza, Fortaleza, CE, Brazil.
Renan Magalhães Montenegro JuniorClinical Research Unit, Walter Cantidio University Hospital, Federal University of Ceará, Bloco das Ilhas - 1º Andar, Fortaleza, CE, 60430-270, Brazil. renanmmjr@gmail.com.ORCID http://orcid.org/0000-0001-7287-8726
Brazilian Group for the Study of Inherited and Acquired Lipodystrophies (BRAZLIPO)
Universidade Federal do Ceará · BRUniversidade de Fortaleza · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA new strain of human coronavirus (HCoV) spread rapidly around the world. Diabetes and obesity are associated with a worse prognosis in these patients. Congenital Generalized Lipodystrophy (CGL) patients generally have poorly controlled diabetes and require extremely high doses of insulin. There is no documentation in the literature of cases of COVID in CGL patients. Thus, we aimed to evaluate the prevalence of SARS-CoV-2 infection in CGL patients, and the association of their clinical and metabolic characteristics and outcomes.

methodsThis is a cross-sectional study carried out between July and October 2020. Clinical data collected were respiratory or other flu-like symptoms, need of hospitalization in the last three months, CGL comorbidities, and medications in use. Cholesterol, triglycerides, glycohemoglobin A1c levels, anti-SARS-CoV-2 antibodies and nasopharyngeal swab for RT-qPCR were also obtained in all CGL patients. Mann-Whitney U test was used to analyze the characteristics of the participants, verifying the non-adherence of the data to the Gaussian distribution. In investigating the association between categorical variables, we used Pearson's chi-square test and Fisher's exact test. A significance level of 5% was adopted.

resultsTwenty-two CGL patients were assessed. Eight subjects (36.4%) had reactive anti-SARS-CoV-2 antibodies. Only one of these, also presented detectable RT-qPCR. Five individuals (62.5%) were women, median age of 13.5 years (1 to 37). Symptoms like fever, malaise, nausea, diarrhea and chest pain were present, and all asymptomatic patients were children. All subjects had inadequate metabolic control, with no difference between groups. Among positive individuals there was no difference between those with AGPAT2 (75%) and BSCL2 gene mutations (25%) (p > 0.05). No patient needed hospitalization or died.

conclusionsWe described a high prevalence of SARS-CoV-2 infection in CGL patients with a good outcome in all of them. These findings suggest that at least young CGL patients infected by SARS-COV-2 are not at higher risk of poor outcome, despite known severe metabolic comorbidities.

Indexed as

Congenital generalized lipodystrophyCOVID-19DiabetesInsulin resistanceLipodystrophySARS-COV-2

Identifiers

PMID34130736
PMCPMC8204124
OpenAlexW3170007586

What OpenQuestion holds

Textmetadata
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.