Evidence map›Paper›PMID 33002478›Full record

SynthesisMetabolism: clinical and experimental2020

Obesity in patients with COVID-19: a systematic review and meta-analysis.

Yi Huang, Yao Lu, Yan-Mei Huang, Min Wang, Wei Ling, Yi Sui, Hai-Lu Zhao

Open access · bronzeAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis 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 261 papers, 13 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
261citing papers in PubMed, 13 pooled it
32.8field-weighted citation impact, top 1% 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

261 citing papers in PubMed, 13 syntheses or guidelines pooled it, 476 citations in OpenAlex.

  1. COVID-19 in patients with Down syndrome: A systematic review.Immunity, inflammation and disease · 2024
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  4. Obesity as an independent risk factor for COVID-19 severity and mortality.The Cochrane database of systematic reviews · 2023
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  9. Association of epicardial adipose tissue with the severity and adverse clinical outcomes of COVID-19: A meta-analysis.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2022
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  13. Eating Behaviour Changes during the COVID-19 Pandemic: A Systematic Review of Longitudinal Studies.International journal of environmental research and public health · 2021
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  19. Palmitoylethanolamide in Human and Animal Obesity.Molecules (Basel, Switzerland) · 2026
    Review
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201 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 4 institutions in 1 country.

Yi HuangCenter for Diabetic Systems Medicine, Guangxi Key Laboratory of Excellence, Guilin Medical University, Guilin 541100, China; Department of Immunology, Guangxi Area of Excellence, Guilin Medical University, Guilin 541100, China; Institute of Basic Medical Sciences, Guilin Medical University, Guilin 541100, China.
Yao LuCenter for Diabetic Systems Medicine, Guangxi Key Laboratory of Excellence, Guilin Medical University, Guilin 541100, China; Department of Immunology, Guangxi Area of Excellence, Guilin Medical University, Guilin 541100, China; Institute of Basic Medical Sciences, Guilin Medical University, Guilin 541100, China.
Yan-Mei HuangDepartment of Geriatrics, Zhongshan Hospital, Fudan University, Shanghai 200032, China.
Min WangInstitute of Basic Medical Sciences, Guilin Medical University, Guilin 541100, China.
Wei LingCenter for Diabetic Systems Medicine, Guangxi Key Laboratory of Excellence, Guilin Medical University, Guilin 541100, China; Department of Immunology, Guangxi Area of Excellence, Guilin Medical University, Guilin 541100, China; Institute of Basic Medical Sciences, Guilin Medical University, Guilin 541100, China; Department of Endocrinology, Xiangya Hospital, Central South University, Changsha 410008, China.
Yi SuiDepartment of Clinical Nutrition, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Hai-Lu ZhaoCenter for Diabetic Systems Medicine, Guangxi Key Laboratory of Excellence, Guilin Medical University, Guilin 541100, China; Department of Immunology, Guangxi Area of Excellence, Guilin Medical University, Guilin 541100, China; Institute of Basic Medical Sciences, Guilin Medical University, Guilin 541100, China. Electronic address: zhaohailu9@126.com.
Guilin Medical University · CNZhongshan Hospital · CNCentral South University · CNSun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundObesity is common in patients with coronavirus disease 2019 (COVID-19). The effects of obesity on clinical outcomes of COVID-19 warrant systematical investigation.

objectiveThis study explores the effects of obesity with the risk of severe disease among patients with COVID-19.

methodsBody mass index (BMI) and degree of visceral adipose tissue (VAT) accumulation were used as indicators for obesity status. Publication databases including preprints were searched up to August 10, 2020. Clinical outcomes of severe COVID-19 included hospitalization, a requirement for treatment in an intensive care unit (ICU), invasive mechanical ventilation (IMV), and mortality. Risks for severe COVID-19 outcomes are presented as odds ratios (OR) and 95% confidence interval (95%CI) for cohort studies with BMI-defined obesity, and standardized mean difference (SMD) and 95%CI for controlled studies with VAT-defined excessive adiposity.

resultsA total of 45, 650 participants from 30 studies with BMI-defined obesity and 3 controlled studies with VAT-defined adiposity were included for assessing the risk of severe COVID-19. Univariate analyses showed significantly higher ORs of severe COVID-19 with higher BMI: 1.76 (95%: 1.21, 2.56, P = 0.003) for hospitalization, 1.67 (95%CI: 1.26, 2.21, P<0.001) for ICU admission, 2.19 (95%CI: 1.56, 3.07, P<0.001) for IMV requirement, and 1.37 (95%CI: 1.06, 1.75, P = 0.014) for death, giving an overall OR for severe COVID-19 of 1.67 (95%CI: 1.43, 1.96; P<0.001). Multivariate analyses revealed increased ORs of severe COVID-19 associated with higher BMI: 2.36 (95%CI: 1.37, 4.07, P = 0.002) for hospitalization, 2.32 (95%CI: 1.38, 3.90, P = 0.001) for requiring ICU admission, 2.63 (95%CI: 1.32, 5.25, P = 0.006) for IMV support, and 1.49 (95%CI: 1.20, 1.85, P<0.001) for mortality, giving an overall OR for severe COVID-19 of 2.09 (95%CI: 1.67, 2.62; P<0.001). Compared to non-severe COVID-19 patients, severe COVID-19 cases showed significantly higher VAT accumulation with a SMD of 0.49 for hospitalization (95% CI: 0.11, 0.87; P = 0.011), 0.57 (95% CI: 0.33, 0.81; P<0.001) for requiring ICU admission and 0.37 (95% CI: 0.03, 0.71; P = 0.035) for IMV support. The overall SMD for severe COVID-19 was 0.50 (95% CI: 0.33, 0.68; P<0.001).

conclusionsObesity increases risk for hospitalization, ICU admission, IMV requirement and death among patients with COVID-19. Further, excessive visceral adiposity appears to be associated with severe COVID-19 outcomes. These findings emphasize the need for effective actions by individuals, the public and governments to increase awareness of the risks resulting from obesity and how these are heightened in the current global pandemic.

Indexed as

Body Mass IndexCOVID-19HospitalizationHumansIntensive Care UnitsIntra-Abdominal FatMortalityObesityPandemicsPatient AdmissionPrognosisRespiration, ArtificialRisk FactorsSARS-CoV-2Severity of Illness IndexTomography, X-Ray ComputedCoronavirus disease 2019Intensive careInvasive mechanical ventilationMortalityObesityVisceral adipose tissue

Identifiers

PMID33002478
PMCPMC7521361
OpenAlexW3089150590

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.