Evidence map›Paper›PMID 32602202›Full record

ArticleObesity (Silver Spring, Md.)2020

Obesity as a Potential Predictor of Disease Severity in Young COVID-19 Patients: A Retrospective Study.

Ming Deng, Yongjian Qi, Liping Deng, Huawei Wang, Yancheng Xu, Zhen Li, Zhe Meng, Jun Tang, Zhe Dai

Open access · hybridAbstract read
In one paragraph

Article in Obesity (Silver Spring, Md.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers, 14 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
74citing papers in PubMed, 14 pooled it
3.7field-weighted citation impact, top 4% 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

74 citing papers in PubMed, 14 syntheses or guidelines pooled it, 156 citations in OpenAlex.

  1. Obesity as an independent risk factor for COVID-19 severity and mortality.The Cochrane database of systematic reviews · 2023
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  3. Prognostic Performance of Cystatin C in COVID-19: A Systematic Review and Meta-Analysis.International journal of environmental research and public health · 2022
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  4. 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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14 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 1 institution in 2 countries.

Ming DengDepartment of Radiology, Zhongnan Hospital of Wuhan University, Wuhan, China.
Yongjian QiDepartment of Spine Surgery and Musculoskeletal Tumor, Zhongnan Hospital of Wuhan University, Wuhan, China.ORCID https://orcid.org/0000-0002-1880-0167
Liping DengDepartment of Infectious Diseases, Zhongnan Hospital of Wuhan University, Wuhan, China.
Huawei WangDepartment of Endocrinology, Zhongnan Hospital of Wuhan University, Wuhan, China.
Yancheng XuDepartment of Endocrinology, Zhongnan Hospital of Wuhan University, Wuhan, China.
Zhen LiDepartment of Hepatobiliary and Pancreatic Surgery, Zhongnan Hospital of Wuhan University, Wuhan, China.
Zhe MengDepartment of Urology, Zhongnan Hospital of Wuhan University, Wuhan, China.
Jun TangDepartment of Endocrinology, Zhongnan Hospital of Wuhan University, Wuhan, China.
Zhe DaiDepartment of Endocrinology, Zhongnan Hospital of Wuhan University, Wuhan, China.ORCID https://orcid.org/0000-0003-0321-0225
Wuhan University · CN

Funding

Chinese National Project in Science and Technology 81970718General Project of Hubei Provincial Health Department WJ2019M204
6 · The paper itself

Abstract

objectiveThis study aims to explore the indicators for severity of coronavirus disease 2019 (COVID-19) in young patients between the ages of 18 and 40 years.

methodsThis retrospective cohort study included 65 consecutively admitted patients with COVID-19 who were between 18 and 40 years old in Zhongnan Hospital of Wuhan University in Wuhan, China. Among them, 53 were moderate cases, and 12 were severe or critical cases. Epidemiological, clinical, and laboratory characteristics and treatment data were collected. A multivariate logistic regression analysis was implemented to explore risk factors.

resultsThe patients with severe/critical cases had obviously higher BMI (average 29.23 vs. 22.79 kg/m

conclusionsObesity is an important predictor of COVID-19 severity in young patients. The main mechanism is related to damage of the liver and kidney.

Indexed as

Age FactorsBetacoronavirusSeverity of Illness IndexAdolescentAdultAgedAlanine TransaminaseAspartate AminotransferasesBlood GlucoseBody Mass IndexChinaCoronavirus InfectionsCOVID-19CreatinineFemaleHospitalizationAlanine TransaminaseAspartate AminotransferasesBlood GlucoseCreatinineSerum Albumin

Identifiers

PMID32602202
PMCPMC7361308
OpenAlexW3037643248

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.