Evidence map›Paper›PMID 32298988›Full record

ArticleJournal of clinical virology : the official publication of the Pan American Society for Clinical Virology2020

Clinical characteristics of 225 patients with COVID-19 in a tertiary Hospital near Wuhan, China.

Ruoqing Li, Jigang Tian, Fang Yang, Lei Lv, Jie Yu, Guangyan Sun, Yu Ma, Xiaojuan Yang, Jianqiang Ding

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers, 15 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
72citing papers in PubMed, 15 pooled it
3.3field-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

72 citing papers in PubMed, 15 syntheses or guidelines pooled it, 143 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Pooled it
  8. Pooled it
  9. Pooled it
  10. Pooled it
  11. Pooled it
  12. Pooled it
  13. A systematic review of CT chest in COVID-19 diagnosis and its potential application in a surgical setting.Colorectal disease : the official journal of the Association of Coloproctology of Great Britain and Ireland · 2020
    Pooled it
  14. Pooled it
  15. Pooled it
  16. Article
  17. Article
  18. Article
  19. Review
  20. Article

12 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

9 authors at 1 institution in 1 country.

Ruoqing LiDepartment of General Medicine, Chongqing University Central Hospital, Chongqing Emergency Medical Center, Chongqing, China.
Jigang TianDepartment of Infectious Diseases, Hanchuan City People's Hospital, Hanchuan, Hubei, China.
Fang YangDepartment of Infectious Diseases, Hanchuan City People's Hospital, Hanchuan, Hubei, China.
Lei LvDepartment of Infectious Diseases, Hanchuan City People's Hospital, Hanchuan, Hubei, China.
Jie YuDepartment of Infectious Diseases, Hanchuan City People's Hospital, Hanchuan, Hubei, China.
Guangyan SunDepartment of Infectious Diseases, Hanchuan City People's Hospital, Hanchuan, Hubei, China.
Yu MaDepartment of Intensive Care Unit, Chongqing University Central Hospital, Chongqing Emergency Medical Center, Chongqing, China.
Xiaojuan YangDepartment of Respiratory Medicine, Chongqing University Central Hospital, Chongqing Emergency Medical Center, Chongqing, China.
Jianqiang DingDepartment of General Medicine, Chongqing University Central Hospital, Chongqing Emergency Medical Center, Chongqing, China. Electronic address: jding18@foxmail.com.
Chongqing University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe 2019 coronavirus disease (COVID-19) was first identified in Wuhan, Hubei, China in December 2019, caused by a novel coronavirus (SARS-CoV-2). There is a need to study the clinical features of patients in a hospital near Wuhan.

objectiveTo identify clinical features of patients with COVID-19 in a tertiary hospital near Wuhan. STUDY

designGeneral information, clinical manifestations, laboratory data, and computed tomography (CT) data were collected for 225 patients diagnosed of COVID-19 admitted between January 20 and February 14, 2020, to the Hanchuan City People's Hospital.

resultsThe patients included 120 male and 105 females who had no connection to the Wuhan Huanan Seafood Market. Their average age was 50 ± 14 years. The major clinical symptoms were fever (84.44% of patients), cough (56.44% of patients), and dyspnea (4.00% of patients); 3.56%-22.67% of subjects suffered from expectoration, fatigue, chills, headache, chest pain, and pharyngalgia. Hypertension was present in 20.89% of patients. The counts of white blood cells (WBCs) and lymphocytes were normal or decreased in 86.67% and 99.11% of patients. CRP was increased in 86.22% of patients, PCT in 10.67%, and ESR in 90.22%. CT showed that 86.22% of patients had multiple patchy glassy shadows in both lungs, particularly in the peripheral area. Thirty-seven (16.44%) patients were diagnosed with severe COVID-19. Methylprednisolone was administered in 44.44% of cases. The mortality among the patients was 0.89%.

conclusionsClinical characteristics of COVID-19 patients in the tertiary hospital near Wuhan are very similar to those found in Wuhan, but the lower mortality.

Indexed as

AdultAnti-Inflammatory AgentsBetacoronavirusChinaCoronavirus InfectionsCoughCOVID-19DyspneaFemaleFeverHumansHypertensionLungLymphocyte CountMaleMethylprednisoloneAnti-Inflammatory AgentsMethylprednisoloneCoronavirusCOVID-19RT-PCRSARS-CoV-2Viral pneumonia

Identifiers

PMID32298988
PMCPMC7194914
OpenAlexW3015940549

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.