Evidence map›Paper›PMID 32508041›Full record

ArticleClinical and translational medicine2020

Significance of clinical phenomes of patients with COVID-19 infection: A learning from 3795 patients in 80 reports.

Linlin Zhang, Diane C Wang, Qihong Huang, Xiangdong Wang

Open access · goldAbstract read
In one paragraph

Article in Clinical and translational medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.0field-weighted citation impact, top 7% 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

13 citing papers in PubMed, 36 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. New strategies of clinical precision medicine.Clinical and translational medicine · 2022
    Article
  5. Article
  6. Review
  7. Decoding COVID-19 pneumonia: comparison of deep learning and radiomics CT image signatures.European journal of nuclear medicine and molecular imaging · 2021
    Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Acute lung injury in patients with COVID-19 infection.Clinical and translational medicine · 2020
    Article
  13. Article
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

4 authors at 2 institutions in 2 countries.

Linlin ZhangZhongshan Hospital Institute of Clinical Science, Fudan University Shanghai Medical School, Shanghai, China.ORCID https://orcid.org/0000-0002-0823-7825
Diane C WangDepartment of Emergency, Sunshine Coast University Hospital, Birtinya, Queensland, Australia.
Qihong HuangZhongshan Hospital Institute of Clinical Science, Fudan University Shanghai Medical School, Shanghai, China.
Xiangdong WangZhongshan Hospital Institute of Clinical Science, Fudan University Shanghai Medical School, Shanghai, China.
Shanghai Medical College of Fudan University · CNSunshine Coast University Hospital · AU

Funding

National Key Research and Development Program of Precision Medicine 2017YFC0909500Operation funding of Shanghai Institute of Clinical Bioinformatics and Shanghai Engineering and Technology Center for Artificial Intelligence of Lung and Heart Diseases from Zhongshan Hospital, The National Nature Science Foundation of China 81873409
6 · The paper itself

Abstract

A new coronavirus SARS-CoV-2 has caused outbreaks in multiple countries and the number of cases is rapidly increasing through human-to-human transmission. Clinical phenomes of patients with SARS-CoV-2 infection are critical in distinguishing it from other respiratory infections. The extent and characteristics of those phenomes varied depending on the severities of the infection, for example, beginning with fever or a mild cough, progressed with signs of pneumonia, and worsened with severe or even fatal respiratory difficulty in acute respiratory distress syndrome. We summarized clinical phenomes of 3795 patients with COVID-19 based on 80 published reports from the onset of outbreak to March 2020 to emphasize the importance and specificity of those phenomes in diagnosis and treatment of infection, and evaluate the impact on medical services. The data show that the incidence of male patients was higher than that of females and the level of C-reaction protein was increased as well as most patients' imaging included ground-glass opacity. Clinical phenomes of SARS-CoV-2 infection were compared with those of SARS-CoV and MERS-CoV infections. There is an urgent need to develop an artificial intelligence-based machine learning capacity to analyze and integrate radiomics- or imaging-based, patient-based, clinician-based, and molecular measurements-based data to fight the outbreak of COVID-19 and enable more efficient responses to unknown infections in future.

Indexed as

acute lung injuryclinical phenomeCOVID-19lung

Identifiers

PMID32508041
PMCPMC7240842
OpenAlexW3014268764

What OpenQuestion holds

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LicenceCC BY
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.