Evidence map›Paper›PMID 32675436›Full record

ArticleJournal of X-ray science and technology2020

Tailoring steroids in the treatment of COVID-19 pneumonia assisted by CT scans: three case reports.

Ying Su, Yi Han, Jie Liu, Yue Qiu, Qian Tan, Zhen Zhou, Yi-Zhou Yu, Jun Chen, Maryellen L Giger, Fleming Y M Lure and 1 more

Abstract readCase Reports
In one paragraph

Article in Journal of X-ray science and technology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Observational
  2. Review
  3. Review
  4. Article
  5. 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

11 authors.

Ying SuDepartment of Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai, P.R. China.
Yi HanDepartment of Emergency, Zhongshan Hospital, Fudan University, Shanghai, P.R. Chinacountry>.
Jie LiuDepartment of Respiratory Medicine, Zhongshan Hospital, Fudan University, Shanghai, P.R. Chinacountry>.
Yue QiuDepartment of Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai, P.R. China.
Qian TanDepartment of Lung Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Lung Cancer Center, P.R. China.
Zhen ZhouSchool of Electronics Engineering and Computer Science, Peking University, Peking, P.R. China.
Yi-Zhou YuDepartment of Computer Science, The University of Hong Kong, Hong Kong, P.R. China.
Jun ChenDepartment of Radiology, Renmin Hospital of Wuhan University, Wuhan, P.R. China.
Maryellen L GigerDepartment of Radiology, University of Chicago, Chicago, IL, USA.
Fleming Y M LureMS Technologies Corp, Rockville, MD 20850; Shenzhen Smart Imaging Healthcare Co, Shenzhen, China.
Zhe LuoDepartment of Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this article, we analyze and report cases of three patients who were admitted to Renmin Hospital, Wuhan University, China, for treating COVID-19 pneumonia in February 2020 and were unresponsive to initial treatment of steroids. They were then received titrated steroids treatment based on the assessment of computed tomography (CT) images augmented and analyzed with the artificial intelligence (AI) tool and output. Three patients were finally recovered and discharged. The result indicated that sufficient steroids may be effective in treating the COVID-19 patients after frequent evaluation and timely adjustment according to the disease severity assessed based on the quantitative analysis of the images of serial CT scans.

Indexed as

AgedArtificial IntelligenceBetacoronavirusChinaCoronavirus InfectionsCOVID-19Dose-Response Relationship, DrugFemaleGlucocorticoidsHumansLungMaleMiddle AgedPandemicsPneumonia, ViralRetrospective StudiesGlucocorticoidscomputerized tomographyCoronavirusimage analysis using artificial intelligencepneumoniasteroidstreating COVID-19 patients

Identifiers

PMID32675436
PMCPMC7592682

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.