Evidence map›Paper›PMID 34247342›Full record

SynthesisEating and weight disorders : EWD2022

The negative impact of obesity on the occurrence and prognosis of the 2019 novel coronavirus (COVID-19) disease: a systematic review and meta-analysis.

Tahereh Raeisi, Hadis Mozaffari, Nazaninzahra Sepehri, Mina Darand, Bahman Razi, Nazila Garousi, Mohammad Alizadeh, Shahab Alizadeh

Open access · bronzeAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Eating and weight disorders : EWD, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 7 pooled it
2.7field-weighted citation impact, top 8% 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

26 citing papers in PubMed, 7 syntheses or guidelines pooled it, 49 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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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

8 authors at 8 institutions in 2 countries.

Tahereh RaeisiDepartment of Medicine, Hormozgan University of Medical Sciences, Bandar Abbas, Iran.
Hadis MozaffariFaculty of Land and Food Systems, University of British Columbia, Vancouver, Canada.
Nazaninzahra SepehriSchool of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran.
Mina DarandDepartment of Clinical Nutrition and Dietetics, Faculty of Nutrition Sciences and Food Technology, National Nutrition and Food Technology Research Institute, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Bahman RaziDepartment of Hematology, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran.
Nazila GarousiDepartment of Clinical Nutrition, School of Nutrition and Food Science, Isfahan University of Medical Sciences, Isfahan, Iran.
Mohammad AlizadehDepartment of Medical Surgical Nursing, Nasibeh Nursing and Midwifery School, Mazandaran University of Medical Sciences, Sari, Iran.
Shahab AlizadehDepartment of Clinical Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), Tehran, Iran. sh_alizadeh@razi.tums.ac.ir.ORCID http://orcid.org/0000-0003-1661-4341
Hormozgan University of Medical Sciences · IRIsfahan University of Medical Sciences · IRMazandaran University of Medical Sciences · IRNational Nutrition and Food Technology Research Institute · IRShiraz University of Medical Sciences · IRTarbiat Modares University · IRTehran University of Medical Sciences · IRUniversity of British Columbia · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe 2019 novel coronavirus (COVID-19) is an emerging pandemic, with a disease course varying from asymptomatic infection to critical disease resulting to death. Recognition of prognostic factors is essential because of its growing prevalence and high clinical costs. This meta-analysis aimed to evaluate the global prevalence of obesity in COVID-19 patients and to investigate whether obesity is a risk factor for the COVID-19, COVID-19 severity, and its poor clinical outcomes including hospitalization, intensive care unit (ICU) admission, need for mechanical ventilation, and mortality.

methodsThe study protocol was registered in PROSPERO (CRD42020203386). A systematic search of Scopus, Medline, and Web of Sciences was conducted from 31 December 2019 to 1 June 2020 to find pertinent studies. After selection, 54 studies from 10 different countries were included in the quantitative analyses. Pooled odds ratios (OR) with 95% confidence intervals (CIs) were calculated to assess the associations.

resultsThe prevalence of obesity was 33% (95% CI 30.0%-35.0%) among patients with COVID-19. Obesity was significantly associated with susceptibility to COVID-19 (OR = 2.42, 95% CI 1.58-3.70; moderate certainty) and COVID-19 severity (OR = 1.62, 95% CI 1.48-1.76; low certainty). Furthermore, obesity was a significant risk factor for hospitalization (OR = 1.75, 95% CI 1.47-2.09; very low certainty), mechanical ventilation (OR = 2.24, 95% CI 1.70-2.94; low certainty), intensive care unit (ICU) admission (OR = 1.75, 95% CI 1.38-2.22; low certainty), and death (OR = 1.23, 95% CI 1.06-1.41; low certainty) in COVID-19 patients. In the subgroup analyses, these associations were supported by the majority of subgroups.

conclusionObesity is associated with COVID-19, need for hospitalization, mechanical ventilation, ICU admission, and death due to COVID-19. LEVEL OF EVIDENCE: Level I, systematic reviews and meta-analyses.

Indexed as

COVID-19SARS-CoV-2HumansObesityPandemicsPrognosisCOVID-19DeathHospitalizationIntensive care unitMechanical ventilationObesity

Identifiers

PMID34247342
PMCPMC8272688
OpenAlexW3106904909

What Socratic 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 Socratic graph.