Evidence map›Paper›PMID 32949592›Full record

SynthesisMetabolism: clinical and experimental2021

Association of body mass index (BMI) with critical COVID-19 and in-hospital mortality: A dose-response meta-analysis.

Yanbin Du, Yuan Lv, Wenting Zha, Nan Zhou, Xiuqin Hong

Open access · bronzeAbstract readMeta-AnalysisSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Metabolism: clinical and experimental, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers, 12 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
75citing papers in PubMed, 12 pooled it
3.2field-weighted citation impact, top 5% 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

75 citing papers in PubMed, 12 syntheses or guidelines pooled it, 213 citations in OpenAlex.

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  5. 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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15 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

5 authors at 2 institutions in 1 country.

Yanbin DuMOE-LCSM, School of Mathematics and Statistics, Hunan Normal University, Changsha, Hunan Province 410081, China.
Yuan LvKey Laboratory of Molecular Epidemiology, Medical College of Hunan Normal University, Changsha, Hunan Province 410013, China. Electronic address: 284792906@qq.com.
Wenting ZhaKey Laboratory of Molecular Epidemiology, Medical College of Hunan Normal University, Changsha, Hunan Province 410013, China. Electronic address: 183259829@qq.com.
Nan ZhouKey Laboratory of Molecular Epidemiology, Medical College of Hunan Normal University, Changsha, Hunan Province 410013, China.
Xiuqin HongHunan Provincial People's Hospital, Scientific Research, Department, Changsha, Hunan Province 410005, China.
Hunan Normal University · CNHunan Provincial People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeThe coronavirus disease 2019 (COVID-19) pandemic presents an unprecedented health crisis to the entire world. As reported, the body mass index (BMI) may play an important role in COVID-19; however, this still remains unclear. The aim of this study was to explore the association between BMI and COVID-19 severity and mortality.

methodsThe Medline, PubMed, Embase and Web of science were systematically searched until August 2020. Random-effects models and dose-response meta-analysis were used to synthesize the results. Combined odds ratios (ORs) with their 95% confidence intervals (CIs) were calculated, and the effect of covariates were analyzed using subgroup analysis and meta-regression analyses.

resultsA total of 16 observational studies involving 109,881 patients with COVID-19 were included in the meta-analysis. The pooled results showed that patients with a BMI ≥ 30 kg/m

conclusionsEvidence from this meta-analysis suggested that a linear dose-response association between BMI and both COVID-19 severity and mortality. Further, obesity (BMI ≥ 30 kg/m

Indexed as

Body Mass IndexHospital MortalityAdolescentAdultAgedAged, 80 and overComorbidityCOVID-19Critical IllnessFemaleHumansMaleMiddle AgedObesityObservational Studies as TopicSARS-CoV-2BMIBody mass indexCOVID-19Meta-analysisObesity

Identifiers

PMID32949592
PMCPMC7493748
OpenAlexW3085746211

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.