Evidence map›Paper›PMID 39568743›Full record

SynthesisFrontiers in medicine2024

The effect and safety of corticosteroid treatment for severe community-acquired pneumonia: a meta-analysis of randomized controlled trials.

Yang Chen, Huanming Kuang, Youfeng Zhu, Xing Luo

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. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. A case of severeRespiratory medicine case reports · 2026
    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.

Yang Chen *Department of Intensive Care Unit, Guangzhou Red Cross Hospital, Jinan University, Guangzhou, Guangdong, China.
Huanming Kuang *Department of Intensive Care Unit, Guangzhou Red Cross Hospital, Jinan University, Guangzhou, Guangdong, China.
Youfeng ZhuDepartment of Intensive Care Unit, Guangzhou Red Cross Hospital, Jinan University, Guangzhou, Guangdong, China.
Xing LuoDepartment of Intensive Care Unit, Guangzhou Red Cross Hospital, Jinan University, Guangzhou, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: There is ongoing debate on the efficacy and safety of corticosteroid therapy for severe community-acquired pneumonia (sCAP). Our aim was to investigate the safety and therapeutic effectiveness of corticosteroids in the sCAP therapy. Methods: Electronic databases (Cochrane Library, PubMed, Web of Science and Embase) were searched from inception to January 10, 2024. We examined for randomized controlled studies assessing the effectiveness and safety of corticosteroid therapy in individuals with sCAP. The primary outcome was short-term mortality. Subgroup analyses were carried out according to the corticosteroid type. Additionally, trial sequential analysis (TSA) was carried out. Results: In total, 11 trials, including 1959 patients, met the predetermined standards and underwent analysis. Overall, our meta-analysis exhibited that corticosteroids may considerably lower short-term mortality when compared to control treatment [6 studies (1,582 patients); odds ratio (OR), 0.65; 95% confidence interval (CI) 0.49-0.88; Conclusion: Our meta-analysis revealed that corticosteroids, especially hydrocortisone, could decrease the mortality of individuals with sCAP. Systematic review registration: [https://clinicaltrials.gov/], identifier [CRD42023415555].

Indexed as

corticosteroidhydrocortisonemeta-analysismortalitysevere community-acquired pneumonia

Identifiers

PMID39568743
PMCPMC11576290

What OpenQuestion holds

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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 OpenQuestion graph.