Evidence map›Paper›PMID 32686331›Full record

SynthesisObesity reviews : an official journal of the International Association for the Study of Obesity2020

Obesity is a risk factor for developing critical condition in COVID-19 patients: A systematic review and meta-analysis.

Mária Földi, Nelli Farkas, Szabolcs Kiss, Noémi Zádori, Szilárd Váncsa, Lajos Szakó, Fanni Dembrovszky, Margit Solymár, Eszter Bartalis, Zsolt Szakács and 7 more

Open access · hybridAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Obesity reviews : an official journal of the International Association for the Study of Obesity, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 160 papers, 27 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
160citing papers in PubMed, 27 pooled it
6.2field-weighted citation impact, top 3% 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

160 citing papers in PubMed, 27 syntheses or guidelines pooled it, 282 citations in OpenAlex.

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  5. Obesity as an independent risk factor for COVID-19 severity and mortality.The Cochrane database of systematic reviews · 2023
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100 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

17 authors at 4 institutions in 3 countries.

Mária FöldiInstitute for Translational Medicine, Medical School, University of Pécs, Pécs, Hungary.ORCID 0000-0003-4534-0394
Nelli FarkasInstitute for Translational Medicine, Medical School, University of Pécs, Pécs, Hungary.
Szabolcs KissInstitute for Translational Medicine, Medical School, University of Pécs, Pécs, Hungary.ORCID 0000-0001-5032-866X
Noémi ZádoriInstitute for Translational Medicine, Medical School, University of Pécs, Pécs, Hungary.
Szilárd VáncsaInstitute for Translational Medicine, Medical School, University of Pécs, Pécs, Hungary.
Lajos SzakóInstitute for Translational Medicine, Medical School, University of Pécs, Pécs, Hungary.
Fanni DembrovszkyInstitute for Translational Medicine, Medical School, University of Pécs, Pécs, Hungary.
Margit SolymárInstitute for Translational Medicine, Medical School, University of Pécs, Pécs, Hungary.
Eszter BartalisInstitute for Translational Medicine, Medical School, University of Pécs, Pécs, Hungary.
Zsolt SzakácsInstitute for Translational Medicine, Medical School, University of Pécs, Pécs, Hungary.
Petra HartmannInstitute of Surgical Research, University of Szeged, Szeged, Hungary.
Gabriella PárDivision of Gastroenterology, First Department of Medicine, Medical School, University of Pécs, Pécs, Hungary.
Bálint ErőssInstitute for Translational Medicine, Medical School, University of Pécs, Pécs, Hungary.
Zsolt MolnárInstitute for Translational Medicine, Medical School, University of Pécs, Pécs, Hungary.ORCID 0000-0002-1468-4058
Péter HegyiInstitute for Translational Medicine, Medical School, University of Pécs, Pécs, Hungary.
Andrea SzentesiInstitute for Translational Medicine, Medical School, University of Pécs, Pécs, Hungary.ORCID 0000-0003-2097-6927
KETLAK Study Group
University of Pecs · HUUniversity of Szeged · HUPoznan University of Medical Sciences · PLUniversitatea de Medicină, Farmacie, Științe și Tehnologie „George Emil Palade” din Târgu Mureș · RO

Funding

Economic Development and Innovation Operational Programme (European Regional Development Fund) within the framework of Programme Széchenyi 2020 GINOP-2.3.2-15-2016-00048 - STAY ALIVEHuman Resources Development Operational Programme (European Regional Development Fund) EFOP 3.6.2-16-2017-00006 - LIVE LONGERMedical School of University of Pécs
6 · The paper itself

Abstract

The disease course of COVID-19 varies from asymptomatic infection to critical condition leading to mortality. Identification of prognostic factors is important for prevention and early treatment. We aimed to examine whether obesity is a risk factor for the critical condition in COVID-19 patients by performing a meta-analysis. The review protocol was registered onto PROSPERO (CRD42020185980). A systematic search was performed in five scientific databases between 1 January and 11 May 2020. After selection, 24 retrospective cohort studies were included in the qualitative and quantitative analyses. We calculated pooled odds ratios (OR) with 95% confidence intervals (CIs) in meta-analysis. Obesity was a significant risk factor for intensive care unit (ICU) admission in a homogenous dataset (OR = 1.21, CI: 1.002-1.46; I2 = 0.0%) as well as for invasive mechanical ventilation (IMV) (OR = 2.05, CI: 1.16-3.64; I2 = 34.86%) in COVID-19. Comparing body mass index (BMI) classes with each other, we found that a higher BMI always carries a higher risk. Obesity may serve as a clinical predictor for adverse outcomes; therefore, the inclusion of BMI in prognostic scores and improvement of guidelines for the intensive care of patients with elevated BMI are highly recommended.

Indexed as

BetacoronavirusCoronavirus InfectionsCOVID-19Critical IllnessHumansObesityPandemicsPneumonia, ViralRisk FactorsSARS-CoV-2Severity of Illness IndexCOVID-19intensive caremechanical ventilationobesity

Identifiers

PMID32686331
PMCPMC7404429
OpenAlexW3043710706

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.