Evidence map›Paper›PMID 34492533›Full record

SynthesisInternational immunopharmacology2021

Effectiveness of corticosteroids to treat severe COVID-19: A systematic review and meta-analysis of prospective studies.

Han Li, Bingdi Yan, Rong Gao, Jin Ren, Junling Yang

Open access · greenAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in International immunopharmacology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 2 pooled it
4.2field-weighted citation impact, top 5% 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

37 citing papers in PubMed, 2 syntheses or guidelines pooled it, 72 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Trial
  5. Review
  6. Article
  7. Article
  8. Exploring Asthma as a Protective Factor in COVID-19 Outcomes.International journal of molecular sciences · 2025
    Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

5 authors at 1 institution in 1 country.

Han LiDepartment of Respiratory Medicine, The Second Hospital of Jilin University, Changchun, China. Electronic address: hanli17@mails.jlu.edu.cn.
Bingdi YanDepartment of Respiratory Medicine, The Second Hospital of Jilin University, Changchun, China.
Rong GaoDepartment of Respiratory Medicine, The Second Hospital of Jilin University, Changchun, China.
Jin RenDepartment of Respiratory Medicine, The Second Hospital of Jilin University, Changchun, China.
Junling YangDepartment of Respiratory Medicine, The Second Hospital of Jilin University, Changchun, China. Electronic address: junling@jlu.edu.cn.
Second Affiliated Hospital of Jilin University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo assess the effects of corticosteroid therapy for patients with severe coronavirus disease 2019 (COVID-19).

methodsWe comprehensively searched articles published in the Cochrane Library, PubMed, Embase, China Biology Medicine (CBM), China National Knowledge Infrastructure (CNKI), Wanfang, and VIP databases from January 1, 2019, to March 20, 2021.

resultsA total of 6771 patients from eight prospective studies were included in our meta-analysis. The results showed that corticosteroid therapy was associated with lower mortality in severe COVID-19 (OR = 0.70, 95% CI = 0.54-0.92, P = 0.009; I

conclusionsIn this meta-analysis, evidence based on seven randomized controlled trials and one prospective cohort study indicates that corticosteroid therapy was associated with a reduction in the mortality of severe COVID-19, especially when administered at an earlier time.

Indexed as

COVID-19 Drug TreatmentSARS-CoV-2Adrenal Cortex HormonesCOVID-19HumansProspective StudiesAdrenal Cortex HormonesCorticosteroidsCOVID-19Meta-analysis

Identifiers

PMID34492533
PMCPMC8413363
OpenAlexW3197085679

What Socratic 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 Socratic graph.