Evidence map›Paper›PMID 32427582›Full record

ArticleJCI insight2020

Clinical and pathological investigation of patients with severe COVID-19.

Shaohua Li, Lina Jiang, Xi Li, Fang Lin, Yijin Wang, Boan Li, Tianjun Jiang, Weimin An, Shuhong Liu, Hongyang Liu and 13 more

Open access · goldAbstract read
In one paragraph

Article in JCI insight, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 180 papers, 12 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
180citing papers in PubMed, 12 pooled it
6.6field-weighted citation impact, top 2% 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

180 citing papers in PubMed, 12 syntheses or guidelines pooled it, 294 citations in OpenAlex.

  1. Pooled it
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  3. Fatigue Symptoms Associated With COVID-19 in Convalescent or Recovered COVID-19 Patients; a Systematic Review and Meta-Analysis.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2022
    Pooled it
  4. Why do men have worse COVID-19-related outcomes? A systematic review and meta-analysis with sex adjusted for age.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica · 2022
    Pooled it
  5. Associations between Serum Interleukins (IL-1BioMed research international · 2022
    Pooled it
  6. Pooled it
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  9. Antibiotic prescribing in patients with COVID-19: rapid review and meta-analysis.Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases · 2021
    Pooled it
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  12. Lymphocyte Subset Counts in COVID-19 Patients: A Meta-Analysis.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2020
    Pooled it
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120 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

23 authors at 6 institutions in 4 countries.

Shaohua LiDepartment of Pathology and Hepatology.
Lina JiangDepartment of Pathology and Hepatology.
Xi LiDepartment of Pathology and Hepatology.
Fang LinDepartment of Intensive Care Unit.
Yijin WangDepartment of Pathology and Hepatology.
Boan LiDepartment of Clinical Laboratory.
Tianjun JiangDepartment of Infectious Diseases, and.
Weimin AnDepartment of Radiology, The Fifth Medical Center of PLA General Hospital, Beijing, China.
Shuhong LiuDepartment of Pathology and Hepatology.
Hongyang LiuDepartment of Pathology and Hepatology.
Pengfei XuDepartment of Pathology and Hepatology.
Lihua ZhaoDepartment of Pathology and Hepatology.
Lixin ZhangDepartment of Pathology and Hepatology.
Jinsong MuDepartment of Intensive Care Unit.
Hongwei WangDepartment of Pathology, The Fourth Medical Center of PLA General Hospital, Beijing, China.
Jiarui KangDepartment of Pathology, The Fourth Medical Center of PLA General Hospital, Beijing, China.
Yan LiDepartment of Pathology and Hepatology.
Lei HuangDepartment of Infectious Diseases, and.
Caizhong ZhuDepartment of Infectious Diseases, and.
Shousong ZhaoDepartment of Infectious Diseases, The First Affiliated Hospital of Bengbu Medical College, Bengbu, China.
Jiangyang LuDepartment of Pathology, The Fourth Medical Center of PLA General Hospital, Beijing, China.
Junsheng JiDepartment of Infectious Diseases, and.
Jingmin ZhaoDepartment of Pathology and Hepatology.
Haute École de la Province de Liège · BEChinese PLA General Hospital · CNOffice of Infectious Diseases · USIntensive Care Society · GBFirst Affiliated Hospital of Bengbu Medical College · CNInstitute of Clinical Research · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCoronavirus disease 2019 (COVID-19), caused by severe acute respiratory coronavirus 2 (SARS-CoV-2), has become a pandemic. This study addresses the clinical and immunopathological characteristics of severe COVID-19.

methodsSixty-nine patients with COVID-19 were classified into severe and nonsevere groups to analyze their clinical and laboratory characteristics. A panel of blood cytokines was quantified over time. Biopsy specimens from 2 deceased cases were obtained for immunopathological, ultrastructural, and in situ hybridization examinations.

resultsCirculating cytokines, including IL-8, IL-6, TNF-α, IP10, MCP1, and RANTES, were significantly elevated in patients with severe COVID-19. Dynamic IL-6 and IL-8 were associated with disease progression. SARS-CoV-2 was demonstrated to infect type II and type I pneumocytes and endothelial cells, leading to severe lung damage through cell pyroptosis and apoptosis. In severe cases, lymphopenia, neutrophilia, depletion of CD4+ and CD8+ T lymphocytes, and massive macrophage and neutrophil infiltrates were observed in both blood and lung tissues.

conclusionsA panel of circulating cytokines could be used to predict disease deterioration and inform clinical interventions. Severe pulmonary damage was predominantly attributed to both cytopathy caused by SARS-CoV-2 and immunopathologic damage. Strategies that prohibit pulmonary recruitment and overactivation of inflammatory cells by suppressing cytokine storm might improve the outcomes of patients with severe COVID-19.

Indexed as

AdultAgedBetacoronavirusBiopsyCD8-Positive T-LymphocytesChemokine CCL2Chemokine CCL5ChinaCoronavirus InfectionsCOVID-19CytokinesDisease ProgressionEndothelial CellsFemaleHumansLungChemokine CCL2Chemokine CCL5CytokinesApoptosisCOVID-19Infectious diseaseMacrophagesMedical statisticsPulmonology

Identifiers

PMID32427582
PMCPMC7406259
OpenAlexW3025129816

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.