Evidence map›Paper›PMID 32374419›Full record

ArticleHistopathology2020

Pulmonary pathology of early-phase COVID-19 pneumonia in a patient with a benign lung lesion.

Zhi Zeng, Li Xu, Xiao-Yu Xie, Hong-Lin Yan, Bao-Jun Xie, Wan-Zhou Xu, Xin-An Liu, Gan-Jun Kang, Wan-Li Jiang, Jing-Ping Yuan

Open access · bronzeAbstract readCase Reports
In one paragraph

Article in Histopathology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed, 2 pooled it
2.6field-weighted citation impact, top 6% 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

62 citing papers in PubMed, 2 syntheses or guidelines pooled it, 110 citations in OpenAlex.

  1. Pooled it
  2. A systematic review of pathological findings in COVID-19: a pathophysiological timeline and possible mechanisms of disease progression.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2020
    Pooled it
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  10. COVID-19 and lung cancer.Pathologica · 2023
    Review
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2 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

10 authors at 2 institutions in 1 country.

Zhi ZengDepartment of Pathology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.ORCID https://orcid.org/0000-0003-4131-050X
Li XuDepartment of Pathology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.
Xiao-Yu XieDepartment of Colorectal and Anal Surgery, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China.
Hong-Lin YanDepartment of Pathology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.ORCID https://orcid.org/0000-0001-7645-9692
Bao-Jun XieDepartment of Radiology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.
Wan-Zhou XuDepartment of Clinical Laboratory, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.
Xin-An LiuBrain Cognition and Brain Disease Institute (BCBDI), Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institute, Shenzhen, China.
Gan-Jun KangDepartment of Thoracic Surgery, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.
Wan-Li JiangDepartment of Thoracic Surgery, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.
Jing-Ping YuanDepartment of Pathology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.ORCID https://orcid.org/0000-0001-7470-6899
Wuhan University · CNHKUST Shenzhen Research Institute · CN

Funding

National Natural Science Foundation of China 81602535
6 · The paper itself

Abstract

aimsAn ongoing outbreak of 2019 novel coronavirus (CoV) disease (COVID-19), caused by severe acute respiratory syndrome (SARS) CoV-2, has been spreading in multiple countries. One of the reasons for the rapid spread is that the virus can be transmitted from infected individuals without symptoms. Revealing the pathological features of early-phase COVID-19 pneumonia is important for understanding of its pathogenesis. The aim of this study was to explore the pulmonary pathology of early-phase COVID-19 pneumonia in a patient with a benign lung lesion. METHODS AND

resultsWe analysed the pathological changes in lung tissue from a 55-year-old female patient with early-phase SARS-CoV-2 infection. In this case, right lower lobectomy was performed for a benign pulmonary nodule. Detailed clinical, laboratory and radiological data were also examined. This patient was confirmed to have preoperative SARS-CoV-2 infection by the use of real-time reverse transcription polymerase chain reaction and RNA in-situ hybridisation on surgically removed lung tissues. Histologically, COVID-19 pneumonia was characterised by exudative inflammation. The closer to the visceral pleura, the more severe the exudation of monocytes and lymphocytes. Perivascular inflammatory infiltration, intra-alveolar multinucleated giant cells, pneumocyte hyperplasia and intracytoplasmic viral-like inclusion bodies were seen. However, fibrinous exudate and hyaline membrane formation, which were typical pulmonary features of SARS pneumonia, were not evident in this case. Immunohistochemical staining results showed an abnormal accumulation of CD4+ helper T lymphocytes and CD163+ M2 macrophages in the lung tissue.

conclusionThe results highlighted the pulmonary pathological changes of early-phase SARS-CoV-2 infection, and suggested a role of immune dysfunction in the pathogenesis of COVID-19 pneumonia.

Indexed as

BetacoronavirusCoronavirus InfectionsCOVID-19FemaleHumansInflammationMiddle AgedPandemicsPneumonia, ViralSARS-CoV-22019 novel coronavirus (SARS-CoV-2)COVID-19 pneumoniamacrophagepathologyT lymphocyte

Identifiers

PMID32374419
PMCPMC7267508
OpenAlexW3023443343

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.