Evidence map›Paper›PMID 34122093›Full record

ReviewFrontiers in pharmacology2021

Systemic Corticosteroid Administration in Coronavirus Disease 2019 Outcomes: An Umbrella Meta-Analysis Incorporating Both Mild and Pulmonary Fibrosis-Manifested Severe Disease.

Bin Cheng, Jinxiu Ma, Yani Yang, Tingting Shao, Binghao Zhao, Linxiang Zeng

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in pharmacology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.0field-weighted citation impact, top 21% 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

10 citing papers in PubMed, 16 citations in OpenAlex.

  1. Inflammatory pathways in patients with post-acute sequelae of COVID-19: The role of the clinical immunologist.Annals of allergy, asthma & immunology : official publication of the American College of Allergy, Asthma, & Immunology · 2024
    Review
  2. Review
  3. Potential Drugs in COVID-19 Management.Current medicinal chemistry · 2024
    Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Systemic corticosteroids for management of COVID-19: Saving lives or causing harm?International journal of immunopathology and pharmacology
    Review
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

6 authors at 3 institutions in 1 country.

Bin ChengDepartment of Emergency and Critical Care Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang, China.
Jinxiu MaDepartment of Respiratory and Critical Care Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang, China.
Yani YangDepartment of Respiratory and Critical Care Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang, China.
Tingting ShaoDepartment of Respiratory and Critical Care Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang, China.
Binghao ZhaoDepartment of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Linxiang ZengDepartment of Respiratory and Critical Care Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang, China.
Nanchang University · CNSecond Affiliated Hospital of Nanchang University · CNChinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

coronaviruscorticosteroidsCOVID-19critically ill/pulmonary fibrosis manifestedumbrella meta-analysis

Identifiers

PMID34122093
PMCPMC8187793
OpenAlexW3164086525

What OpenQuestion holds

Textmetadata
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.