SynthesisEuropean journal of medical research2020
Obesity is associated with increased severity of disease in COVID-19 pneumonia: a systematic review and meta-analysis.
Synthesis in European journal of medical research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06236932 (PRIN "SIDERALE"), which is not on this map. Cited by 76 papers, 9 of them syntheses that pooled 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.
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.
PRIN "SIDERALE": Susceptibility to Infectious Diseases in obEsity: an endocRine trAnslational socioLogic Evaluation
Who cites it
76 citing papers in PubMed, 9 syntheses or guidelines pooled it, 148 citations in OpenAlex.
- Obesity as an independent risk factor for COVID-19 severity and mortality.The Cochrane database of systematic reviews · 2023Pooled it
- Risk of bias and certainty of evidence on the association between obesity and mortality in patients with SARS-COV-2: An umbrella review of meta-analyses.Clinical nutrition ESPEN · 2023Pooled it
- 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 · 2022Pooled it
- Obesity augments the disease burden in COVID-19: Updated data from an umbrella review.Clinical obesity · 2022Pooled it
- Association of Obesity With COVID-19 Severity and Mortality: An Updated Systemic Review, Meta-Analysis, and Meta-Regression.Frontiers in endocrinology · 2022Pooled it
- Pooled it
- Pre-existing health conditions and severe COVID-19 outcomes: an umbrella review approach and meta-analysis of global evidence.BMC medicine · 2021Pooled it
- COVID-19 infection and body weight: A deleterious liaison in a J-curve relationship.Obesity research & clinical practicePooled it
- Prone ventilation in intubated COVID-19 patients: a systematic review and meta-analysis.Brazilian journal of anesthesiology (Elsevier)Pooled it
- Body Mass Index, Waist Circumference, Readmission, and Healthcare Costs After Influenza- or Pneumonia-Related Hospitalization: A Sex-Stratified Nationwide Cohort Study in Korea.Healthcare (Basel, Switzerland) · 2026Article
- Leptin and Acute Lung Disorders.Comprehensive Physiology · 2025Review
- Post-COVID-19 condition: clinical phenotypes, pathophysiological mechanisms, pathology, and management strategies.The Journal of pathology · 2025Review
- A Machine Learning Model for Predicting Intensive Care Unit Admission in Inpatients with COVID-19 Using Clinical Data and Laboratory Biomarkers.Biomedicines · 2025Article
- Health diagnosis associated with COVID-19 death in the United States: A retrospective cohort study using electronic health records.PloS one · 2025Article
- Association of excess visceral fat and severe illness in hospitalized COVID-19 patients in Japan: a retrospective cohort study.International journal of obesity (2005) · 2024Article
- Potential Risk Factors to COVID-19 Severity: Comparison of SARS-CoV-2 Delta- and Omicron-Dominant Periods.International journal of environmental research and public health · 2024Article
- Macrophage Activation Syndrome in Coinciding Pandemics of Obesity and COVID-19: Worse than Bad.Advances in experimental medicine and biology · 2024Review
- Article
- The impact of age and obesity on outcomes among patients hospitalized with COVID-19 in Denmark: A nationwide cohort study.Obesity science & practice · 2023Article
- Fighting the obesity pandemic during the COVID-19 pandemic.Surgical endoscopy · 2023Article
16 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundObesity has been widely reported to be associated with the disease progression of coronavirus disease 2019 (COVID-19); however, some studies have reported different findings. We conducted a systematic review and meta-analysis to investigate the association between obesity and poor outcomes in patients with COVID-19 pneumonia.
methodsA systematic review and meta-analysis of studies from the PubMed, Embase, and Web of Science databases from 1 November 2019 to 24 May 2020 was performed. Study quality was assessed, and data extraction was conducted. The meta-analysis was carried out using fixed-effects and random-effects models to calculate odds ratios (ORs) of several poor outcomes in obese and non-obese COVID-19 patients.
resultsTwenty-two studies (n = 12,591 patients) were included. Pooled analysis demonstrated that body mass index (BMI) was higher in severe/critical COVID-19 patients than in mild COVID-19 patients (MD 2.48 kg/m
conclusionsAs a result of a potentially critical role of obesity in determining the severity of COVID-19, it is important to collect anthropometric information for COVID-19 patients, especially the younger group. However, obesity may not be associated with hospital mortality, and efforts to understand the impact of obesity on the mortality of COVID-19 patients should be a research priority in the future.
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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.