Evidence map›Paper›PMID 33157938›Full record

Observational studyMedicine2020

Risk factors associated with disease aggravation among 126 hospitalized patients with COVID-19 in different places in China: A retrospective observational study.

Shuai Shao, Zhiling Zhao, Feng Wang, Dandan Chang, Yong Liu, Shi Liu, Xiaoguang Xu, Xuyan Li, Chunguo Jiang, Ziren Tang

Open access · goldAbstract readMulticenter StudyObservational Study
In one paragraph

Observational study in Medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.1field-weighted citation impact, top 44% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Review
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

10 authors at 4 institutions in 3 countries.

Shuai ShaoDepartment of Respiratory and Critical Care Medicine, Beijing Chaoyang Hospital, Capital Medical University.
Zhiling ZhaoDepartment of Respiratory and Critical Care Medicine, Beijing Chaoyang Hospital, Capital Medical University.
Feng WangDepartment of Respiratory and Critical Care Medicine, Beijing Chaoyang Hospital, Capital Medical University.ORCID 0000-0002-2429-5662
Dandan ChangBiomedical Engineering School, Beijing Key Laboratory of Fundamental Research on Biomechanics in Clinical Application, Capital Medical University, Beijing.
Yong LiuDepartment of Respiratory and Critical Care Medicine, Zhoukou Central Hospital, Zhoukou, Henan Province.
Shi LiuDepartment of Gastroenterology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province.
Xiaoguang XuDepartment of Respiratory and Critical Care Medicine, Affiliated Hospital of Jilin Medical University, Jilin.
Xuyan LiDepartment of Respiratory and Critical Care Medicine, Beijing Chaoyang Hospital, Capital Medical University.
Chunguo JiangDepartment of Respiratory and Critical Care Medicine, Beijing Chaoyang Hospital, Capital Medical University.
Ziren TangDepartment of Emergency Medicine, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China.
Capital Medical University · CN451 Research (United Kingdom) · GBJilin Medical University · CNZhoukou City Academy of Agricultural Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronavirus disease 2019 (COVID-19) has rapidly spread on a global scale. Therefore, it is urgent to identify risk factors that could be associated with severe type of COVID-19 from common type.For this retrospective study, we recruited patients with COVID-19 in Wuhan and Zhoukou. Patients were classified into a severe group and common group based on guidelines after admission. Clinical manifestations and laboratory tests were compared, and univariate binary logistic regression and multivariate regression analyses were applied to assess potential risk factors.A total of 126 patients were recruited from January 23 to March 23, 2020. Ninety cases were identified as the common type and 36 as the severe type. The average age in the severe group was significantly older than that in the common group (P = .008). Patients with severe COVID-19 exhibited higher proportions of dyspnea (P = .001), weakness (P = .023), and diarrhea (P = .046). Moreover, there were more patients with hypertension (P = .01) or coinfection (P = .001) in the severe group than in the common group. Additionally, severe COVID-19 was associated with increased neutrophil counts (P < .001), C-reactive protein (P < .001), procalcitonin (P = .024) and decreased lymphocyte counts (P = .001), hemoglobin (P < .001), total protein (TP) (P < .001), and albumin (ALB) (P < .001). Based on logistic regression analysis, dyspnea (P < .001), TP (P = .042), and ALB (P = .003) were independent risk factors for severe disease.Patients with lower TP, ALB, and dyspnea should be carefully monitored, and early intervention should be implemented to prevent the development of severe disease.

Indexed as

Disease ProgressionHospitalizationAdultAgedAged, 80 and overBetacoronavirusBlood ProteinsChinaCoronavirus InfectionsCOVID-19C-Reactive ProteinDyspneaFemaleHumansMaleMiddle AgedBlood ProteinsC-Reactive ProteinSerum Albumin, Human

Identifiers

PMID33157938
PMCPMC7647556
OpenAlexW3096983758

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.