Evidence map›Paper›PMID 39185470›Full record

SynthesisFrontiers in medicine2024

The role of methylprednisolone in severe COVID-19 patients: a meta-analysis.

Wanru Xu, Yujun Zeng, Hedong Han, Tangfeng Lv, Dang Lin

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Wanru Xu *Department of Respiratory and Critical Care Medicine, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Nanjing Medical University, Suzhou, China.
Yujun Zeng *Department of Respiratory and Critical Care Medicine, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Nanjing Medical University, Suzhou, China.
Hedong Han *Department of Respiratory and Critical Care Medicine, Jinling Hospital, School of Medicine, Nanjing University, Nanjing, China.
Tangfeng Lv *Department of Respiratory and Critical Care Medicine, Jinling Hospital, School of Medicine, Nanjing University, Nanjing, China.
Dang Lin *Department of Respiratory and Critical Care Medicine, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Nanjing Medical University, Suzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The purpose of this study is to assess the effectiveness of methylprednisolone in severe COVID-19. Methods: PubMed, the Cochrane Library and Web of Science were searched for literatures comparing methylprednisolone and control treatment in severe COVID-19 patients. Statistical pooling was reported as risk ratio (RR) with corresponding 95% confidence interval (CI). The outcomes of interest in the literature survey were mortality and adverse events. Results: A total of 13 studies were included, including 3,138 patients with severe COVID-19, of which 1,634 patients were treated with methylprednisolone and 1,504 patients were treated with control treatment. Five of the 13 studies reported severe adverse events. Our meta-analysis indicates that methylprednisolone treatment in COVID-19 patients is associated with a significant reduction in mortality (RR 0.62, 95% CI 0.46-0.85, Conclusion: Methylprednisolone was correlated with lower mortality compared with control treatment in severe COVID-19 patients without increasing serious adverse reactions. Furthermore, high-doses and short-term of methylprednisolone treatment were linked with better younger COVID-19 reported higher benefit from methylprednisolone than older COVID-19 patients.

Indexed as

adverse eventCOVID-19methylprednisolonemortalitysevere

Identifiers

PMID39185470
PMCPMC11341412

What Socratic holds

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LicenceCC BY
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Registered trials

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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.