Evidence map›Paper›PMID 32673651›Full record

ArticleMetabolism: clinical and experimental2020

The role of visceral adiposity in the severity of COVID-19: Highlights from a unicenter cross-sectional pilot study in Germany.

Antonia Petersen, Keno Bressem, Jakob Albrecht, Hans-Martin Thieß, Janis Vahldiek, Bernd Hamm, Marcus R Makowski, Alexandra Niehues, Stefan M Niehues, Lisa C Adams

Open access · bronzeAbstract read
In one paragraph

Article in Metabolism: clinical and experimental, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 123 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
123citing papers in PubMed, 8 pooled it
4.0field-weighted citation impact, top 4% 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

123 citing papers in PubMed, 8 syntheses or guidelines pooled it, 191 citations in OpenAlex.

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  19. The effect of pre-existing sarcopenia on outcomes of critically ill patients treated for COVID-19.Journal of critical care medicine (Universitatea de Medicina si Farmacie din Targu-Mures) · 2025
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63 more citing papers are in PubMed but not listed here.

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

10 authors at 2 institutions in 1 country.

Antonia PetersenCharité - Universitätsmedizin Berlin, Campus Benjamin Franklin, Department of Radiology, Hindenburgdamm 30, 12203 Berlin, Germany. Electronic address: antonia.petersen@charite.de.
Keno BressemCharité - Universitätsmedizin Berlin, Campus Benjamin Franklin, Department of Radiology, Hindenburgdamm 30, 12203 Berlin, Germany.
Jakob AlbrechtCharité - Universitätsmedizin Berlin, Campus Benjamin Franklin, Department of Radiology, Hindenburgdamm 30, 12203 Berlin, Germany.
Hans-Martin ThießCharité - Universitätsmedizin Berlin, Campus Benjamin Franklin, Department of Radiology, Hindenburgdamm 30, 12203 Berlin, Germany.
Janis VahldiekCharité - Universitätsmedizin Berlin, Campus Benjamin Franklin, Department of Radiology, Hindenburgdamm 30, 12203 Berlin, Germany.
Bernd HammCharité - Universitätsmedizin Berlin, Campus Benjamin Franklin, Department of Radiology, Hindenburgdamm 30, 12203 Berlin, Germany.
Marcus R MakowskiTechnical University of Munich, School of Medicine, Department of Diagnostic and Interventional Radiology, 81675 Munich, Germany; Charité - Universitätsmedizin Berlin, Campus Charité Mitte, Department of Radiology, Charitéplatz 1, 10117 Berlin, Germany.
Alexandra NiehuesCharité - Universitätsmedizin Berlin, Campus Benjamin Franklin, Department of Radiology, Hindenburgdamm 30, 12203 Berlin, Germany.
Stefan M NiehuesCharité - Universitätsmedizin Berlin, Campus Benjamin Franklin, Department of Radiology, Hindenburgdamm 30, 12203 Berlin, Germany.
Lisa C AdamsCharité - Universitätsmedizin Berlin, Campus Charité Mitte, Department of Radiology, Charitéplatz 1, 10117 Berlin, Germany; Berlin Institute of Health (BIH), 10178 Berlin, Germany.
Charité - Universitätsmedizin Berlin · DEBerlin Institute of Health at Charité - Universitätsmedizin Berlin · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsOverall obesity has recently been established as an independent risk factor for critical illness in patients with coronavirus disease 2019 (COVID-19). The role of fat distribution and especially that of visceral fat, which is often associated with metabolic syndrome, remains unclear. Therefore, this study aims at investigating the association between fat distribution and COVID-19 severity.

methodsThirty patients with COVID-19 and a mean age of 65.6 ± 13.1 years from a level-one medical center in Berlin, Germany, were included in the present cross-sectional analysis. COVID-19 was confirmed by polymerase chain reaction (PCR) from nasal and throat swabs. A severe clinical course of COVID-19 was defined by hospitalization in the intensive care unit (ICU) and/or invasive mechanical ventilation. Fat was measured at the level of the first lumbar vertebra on routinely acquired low-dose chest computed tomography (CT).

resultsAn increase in visceral fat area (VFA) by ten square centimeters was associated with a 1.37-fold higher likelihood of ICU treatment and a 1.32-fold higher likelihood of mechanical ventilation (adjusted for age and sex). For upper abdominal circumference, each additional centimeter of circumference was associated with a 1.13-fold higher likelihood of ICU treatment and a 1.25-fold higher likelihood of mechanical ventilation.

conclusionsOur proof-of-concept study suggests that visceral adipose tissue and upper abdominal circumference specifically increase the likelihood of COVID-19 severity. CT-based quantification of visceral adipose tissue and upper abdominal circumference in routine chest CTs may therefore be a simple tool for risk assessment in COVID-19 patients.

Indexed as

BetacoronavirusAdiposityAgedAged, 80 and overCoronavirus InfectionsCOVID-19Cross-Sectional StudiesHumansIntra-Abdominal FatMiddle AgedPandemicsPilot ProjectsPneumonia, ViralSARS-CoV-2Tomography, X-Ray ComputedCOVID-19ObesityOverweightQuantification of adipose tissueVisceral adipose tissue

Identifiers

PMID32673651
PMCPMC7358176
OpenAlexW3043122124

What OpenQuestion holds

Textmetadata
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.