CoChat
Sign Up
Cited by 986COVID-19 Clinical Research StudiesSARS-CoV-2 and COVID-19 ResearchLong-Term Effects of COVID-19

The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.

Clinical Features and Treatment of COVID-19 Patients in Northeast Chongqing

Open access
Wan, Suxin, Xiang, Yi, Fang, Wei, Zheng, Yu, Li, Boqun, Hu, Yanjun, Lang, Chunhui, Huang, Daoqiu, Sun, Qiuyan, Xiong, Yan, Huang, Xia, Lv, Jinglong, Luo, Yaling, Shen, Li, Yang, Haoran, Huang, Gu, Yang, Ruishan·2020·Journal of Medical Virology
DOI 10.1002/jmv.25783PMC PMC7228368
Open this paper in CoChat — free accountOpen PDF

Abstract

The outbreak of the novel coronavirus in China (SARS-CoV-2) that began in December 2019 presents a significant and urgent threat to global health. This study was conducted to provide the international community with a deeper understanding of this new infectious disease. Epidemiological, clinical features, laboratory findings, radiological characteristics, treatment, and clinical outcomes of 135 patients in northeast Chongqing were collected and analyzed in this study. A total of 135 hospitalized patients with COVID-19 were enrolled. The median age was 47 years (interquartile range, 36-55), and there was no significant gender difference (53.3% men). The majority of patients had contact with people from the Wuhan area. Forty-three (31.9%) patients had underlying disease, primarily hypertension (13 [9.6%]), diabetes (12 [8.9%]), cardiovascular disease (7 [5.2%]), and malignancy (4 [3.0%]). Common symptoms included fever (120 [88.9%]), cough (102 [76.5%]), and fatigue (44 [32.5%]). Chest computed tomography scans showed bilateral patchy shadows or ground glass opacity in the lungs of all the patients. All patients received antiviral therapy (135 [100%]) (Kaletra and interferon were both used), antibacterial therapy (59 [43.7%]), and corticosteroids (36 [26.7%]). In addition, many patients received traditional Chinese medicine (TCM) (124 [91.8%]). It is suggested that patients should receive Kaletra early and should be treated by a combination of Western and Chinese medicines. Compared to the mild cases, the severe ones had lower lymphocyte counts and higher plasma levels of Pt, APTT, d-dimer, lactate dehydrogenase, PCT, ALB, C-reactive protein, and aspartate aminotransferase. This study demonstrates the clinic features and therapies of 135 COVID-19 patients. Kaletra and TCM played an important role in the treatment of the viral pneumonia. Further studies are required to explore the role of Kaletra and TCM in the treatment of COVID-19.

Overview

Integrity signals

Registry

Crossref · 10.1002/jmv.25783

Cites

28 of 28 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cites

Flagged first, then by citations

Show all 27 references

Research works printed but not linked: 2

  1. General Office of the National Health and Family PlanningCommission, 2020, Diagnosis and treatment of novel coronavirus pneumonia (trial version 5), Chin J Integr Med, 3
  2. Wang F, 2018, Effects of matrine combied with baicalin on mouse pneumonia induced by LPS, Chin Pharmacol Bull, 8, 1105

Cited by

Sorted by citations

Items 901–986 of 986

Related

See all

Metadata

Authors
Wan, S., Xiang, Y., Fang, W., Zheng, Y., Li, B., Hu, Y., Lang, C., Huang, D., Sun, Q., Xiong, Y., Huang, X., Lv, J., Luo, Y., Shen, L., Yang, H., Huang, G., & Yang, R.
Affiliations
  • Chongqing University (CN)
  • Chongqing Medical University (CN)
  • Pharmaceutical Department of Chongqing Three Gorges Central Hospital Chongqing University Three Gorges Hospital Chongqing China
Corresponding author
  • Zheng, Yu
  • Li, Boqun
  • Hu, Yanjun
ORCID
Venue
Journal of Medical Virology
Publisher
Wiley
Published
2020-04
Volume
92
Issue
7
Pages
797-806
ISSN
  • 0146-6615 (ISSN-L)
  • 1096-9071
DOI
10.1002/jmv.25783
PMC
PMC7228368
OpenAlex
W3012673820
Cited by
982
References
27
Citations by year
2026: 2 · 2025: 13 · 2024: 40 · 2023: 75 · 2022: 125 · 2021: 299 · 2020: 427
FWCI
30.44
Type
journal article
Language
en
Open access
Licence
onlinelibrary.wiley.com/termsAndConditions#vor (vor)
Locations
  • Journal of Medical Virology (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • Fundamental Research Funds for the Central Universities (2020CDJYGRH-YJ03)
  • National Social Science Foundation (15BGL191)
Topics
  • Health Sciences › Medicine › Infectious Diseases › COVID-19 Clinical Research Studies
  • Health Sciences › Medicine › Infectious Diseases › SARS-CoV-2 and COVID-19 Research
  • Health Sciences › Medicine › Clinical Neurology › Long-Term Effects of COVID-19
Keywords
COVID-19 pandemic, SARS-CoV-2, clinical features, lopinavir/ritonavir, ritonavir, traditional Chinese medicine, antiviral therapy, corticosteroids, antibiotic therapy, interferon, viral pneumonia, chest CT findings, ground-glass opacities, lymphocyte count, D-dimer, lactate dehydrogenase, C-reactive protein, comorbidities, hospitalized patients
MeSH terms
Betacoronavirus, COVID-19, SARS-CoV-2, COVID-19 Testing, Adolescent, Adrenal Cortex Hormones, Adult, Aged, Anti-Bacterial Agents, Antiviral Agents, Cardiovascular Diseases, China, Cough, Diabetes Mellitus, Drug Combinations, Drugs, Chinese Herbal, Fatigue, Female, Fever, Humans, Interferons, Male, Middle Aged, Neoplasms, Pneumonia, Viral, Retrospective Studies, Severity of Illness Index, Tomography, X-Ray Computed, Biomarkers, Coronavirus Infections, Clinical Laboratory Techniques, Ritonavir, Diabetes Complications, Pandemics, Lopinavir

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review