Evidence map›Paper›PMID 33627118›Full record

Observational studyBMC pulmonary medicine2021

Elevated glucose level leads to rapid COVID-19 progression and high fatality.

Wenjun Wang, Mingwang Shen, Yusha Tao, Christopher K Fairley, Qin Zhong, Zongren Li, Hui Chen, Jason J Ong, Dawei Zhang, Kai Zhang and 8 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in BMC pulmonary medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
3.1field-weighted citation impact, top 7% 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

33 citing papers in PubMed, 1 synthesis or guideline pooled it, 50 citations in OpenAlex.

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  8. Association of placental histopathological findings with COVID-19 and its predictive factors.Revista brasileira de ginecologia e obstetricia : revista da Federacao Brasileira das Sociedades de Ginecologia e Obstetricia · 2024
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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

18 authors at 4 institutions in 2 countries.

Wenjun Wang *Key Laboratory of Ministry of Industry and Information Technology of Biomedical Engineering and Translational Medicine, Chinese PLA General Hospital, Beijing, 100853, People's Republic of China.
Mingwang Shen *China-Australia Joint Research Center for Infectious Diseases, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shanxi, 710061, People's Republic of China.
Yusha TaoChina-Australia Joint Research Center for Infectious Diseases, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shanxi, 710061, People's Republic of China.
Christopher K FairleyChina-Australia Joint Research Center for Infectious Diseases, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shanxi, 710061, People's Republic of China.
Qin ZhongKey Laboratory of Ministry of Industry and Information Technology of Biomedical Engineering and Translational Medicine, Chinese PLA General Hospital, Beijing, 100853, People's Republic of China.
Zongren LiKey Laboratory of Ministry of Industry and Information Technology of Biomedical Engineering and Translational Medicine, Chinese PLA General Hospital, Beijing, 100853, People's Republic of China.
Hui ChenDepartment of Medical Information, Huoshenshan Hospital, Wuhan, Hubei, People's Republic of China.
Jason J OngChina-Australia Joint Research Center for Infectious Diseases, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shanxi, 710061, People's Republic of China.
Dawei ZhangDepartment of Infectious Disease, the Fifth Medical Center, Chinese PLA General Hospital, Beijing, 100039, People's Republic of China.
Kai ZhangKey Laboratory of Ministry of Industry and Information Technology of Biomedical Engineering and Translational Medicine, Chinese PLA General Hospital, Beijing, 100853, People's Republic of China.
Ning XingDepartment of Radiology, Chinese PLA General Hospital, Beijing, 100853, People's Republic of China.
Huayuan GuoKey Laboratory of Ministry of Industry and Information Technology of Biomedical Engineering and Translational Medicine, Chinese PLA General Hospital, Beijing, 100853, People's Republic of China.
Enqiang QinDepartment of Infectious Disease, the Fifth Medical Center, Chinese PLA General Hospital, Beijing, 100039, People's Republic of China.
Xizhou GuanDepartment of Pulmonary and Critical Care Medicine, Chinese PLA General Hospital, Beijing, 100853, People's Republic of China.
Feifei YangKey Laboratory of Ministry of Industry and Information Technology of Biomedical Engineering and Translational Medicine, Chinese PLA General Hospital, Beijing, 100853, People's Republic of China.
Sibing ZhangDepartment of Medical Information, Huoshenshan Hospital, Wuhan, Hubei, People's Republic of China.
Lei ZhangChina-Australia Joint Research Center for Infectious Diseases, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shanxi, 710061, People's Republic of China. lei.zhang1@xjtu.edu.cn.
Kunlun HeKey Laboratory of Ministry of Industry and Information Technology of Biomedical Engineering and Translational Medicine, Chinese PLA General Hospital, Beijing, 100853, People's Republic of China. kunlunhe@plagh.org.
Chinese PLA General Hospital · CNXi'an Jiaotong University · CNHubei Zhongshan Hospital · CNMinistry of Industry and Information Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesWe aimed to identify high-risk factors for disease progression and fatality for coronavirus disease 2019 (COVID-19) patients.

methodsWe enrolled 2433 COVID-19 patients and used LASSO regression and multivariable cause-specific Cox proportional hazard models to identify the risk factors for disease progression and fatality.

resultsThe median time for progression from mild-to-moderate, moderate-to-severe, severe-to-critical, and critical-to-death were 3.0 (interquartile range: 1.8-5.5), 3.0 (1.0-7.0), 3.0 (1.0-8.0), and 6.5 (4.0-16.3) days, respectively. Among 1,758 mild or moderate patients at admission, 474 (27.0%) progressed to a severe or critical stage. Age above 60 years, elevated levels of blood glucose, respiratory rate, fever, chest tightness, c-reaction protein, lactate dehydrogenase, direct bilirubin, and low albumin and lymphocyte count were significant risk factors for progression. Of 675 severe or critical patients at admission, 41 (6.1%) died. Age above 74 years, elevated levels of blood glucose, fibrinogen and creatine kinase-MB, and low plateleta count were significant risk factors for fatality. Patients with elevated blood glucose level were 58% more likely to progress and 3.22 times more likely to die of COVID-19.

conclusionsOlder age, elevated glucose level, and clinical indicators related to systemic inflammatory responses and multiple organ failures, predict both the disease progression and the fatality of COVID-19 patients.

Indexed as

Disease ProgressionAdultAgedAged, 80 and overAge FactorsBilirubinBlood GlucoseChinaCOVID-19C-Reactive ProteinCritical IllnessFemaleFeverHumansHyperglycemiaL-Lactate DehydrogenaseBilirubinBlood GlucoseC-Reactive ProteinL-Lactate DehydrogenaseSerum AlbuminCOVID-19FatalityProgressionRisk factors

Identifiers

PMID33627118
PMCPMC7903375
OpenAlexW3130580644

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.