Evidence map›Paper›PMID 33691264›Full record

ArticleClinical imaging2021

Demographic, signs and symptoms, imaging characteristics of 2126 patients with COVID-19 pneumonia in the whole quarantine of Wuhan, China.

Xi Yin, Qiubai Li, Shengchao Hou, Qiang Zhong, Zhongjie Fan, Qiuhan Huang, Vishal Kukkar, Zhen Kang, Zhaojun Huang, Liang Wang

Open access · bronzeAbstract read
In one paragraph

Article in Clinical imaging, 2021. 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
0.2field-weighted citation impact, top 48% 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, 3 citations in OpenAlex.

  1. Article
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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

10 authors at 4 institutions in 2 countries.

Xi YinDepartment of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science & Technology, Jie-Fang-Da-Dao 1095, Wuhan 430030, China.
Qiubai LiDepartment of Radiology, University of Texas Southwestern Medical Center at Dallas, Dallas, TX 75390, USA. Electronic address: Qiubai.Li@UTSouthwestern.edu.
Shengchao HouSchool of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, China.
Qiang ZhongDepartment of Clinical Medicine, ICU, Tongji Hospital, Tongji Medical College, Huazhong University of Science & Technology, Jie-Fang-Da-Dao 1095, Wuhan 430030, China.
Zhongjie FanDepartment of Respiratory Medicine, Wuhan Red Cross Hospital, Wuhan 430015, China.
Qiuhan HuangDepartment of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science & Technology, Jie-Fang-Da-Dao 1095, Wuhan 430030, China.
Vishal KukkarU.T.Southwestern Medical Center, Dallas, Tx, USA.
Zhen KangDepartment of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science & Technology, Jie-Fang-Da-Dao 1095, Wuhan 430030, China.
Zhaojun HuangDepartment of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science & Technology, Jie-Fang-Da-Dao 1095, Wuhan 430030, China.
Liang WangDepartment of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science & Technology, Jie-Fang-Da-Dao 1095, Wuhan 430030, China. Electronic address: wang6@tjh.tjmu.edu.cn.
Huazhong University of Science and Technology · CNTongji Hospital · CNThe University of Texas Southwestern Medical Center · USWuhan Red Cross Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe accurate knowledge of demographic, signs and symptoms, imaging characteristics of coronavirus disease 2019 (COVID-19) is essential for the accurate management of these patients. However, the claims between the previous papers are not always consistent and may even contradict each other, for example, some claims the virus infects more men than women in Wuhan. In this large-scale cohort study, we aimed to update the demographic, signs and symptoms, imaging characteristics of patients with COVID-19 in the whole quarantine of Wuhan, China.

methodsA cohort of 2126 patients with a diagnosis of COVID-19 pneumonia (confirmed by real-time reverse transcriptase-polymerase chain reaction, RT-PCR) who were admitted to one hospital in Wuhan were retrospectively enrolled. Data were collected between January 13, 2020, and April 8, 2020, the end of Wuhan quarantine. Demographic, signs and symptoms, imaging characteristics were analyzed. CT imaging characteristics associated with respiratory failure or death were identified.

resultsOf the 2126 patients with COVID-19, 1051 (49.44%) were men and 1075 (50.56%) were women, 1933 (90.92%) have fever and 1328 (62.46%) have dry cough. The mean age was 57.43 years of age (range 1-95). The CT imaging findings were bilateral pneumonia (1883[88.57%]), unilateral pneumonia (243[11.43%]), ground-glass opacity (GGO) or consolidation (1175[55.27%]), pleural effusion (69[3.25%]). Patients with respiratory failure or death were more likely to have pleural effusion on CT than patients without respiratory failure or death (p < 0.05).

conclusionMen and women have been infected by SARS-CoV-2 in roughly equal numbers. Fever and cough are the most prevalent symptoms at disease onset in patients. Other prevalent symptoms include fatigue, and sputum production. COVID-19 patients with bilateral pneumonia and pleural effusion are more likely to develop respiratory failure or death.

Indexed as

COVID-19PneumoniaAdolescentAdultAgedAged, 80 and overChildChild, PreschoolChinaCohort StudiesDemographyFemaleHumansInfantLungMaleComputed tomographyCOVID-19DemographicSignSymptom

Identifiers

PMID33691264
PMCPMC7901270
OpenAlexW3131458938

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.