Evidence map›Paper›PMID 39003393›Full record

SynthesisClinical and experimental medicine2024

Efficacy and safety of glucocorticoids in the treatment of COVID-19: a systematic review and meta-analysis of RCTs.

Xiangrong Ye, Ye Li, Feng Luo, Zhibin Xu, Kaidirina Kasimu, Juan Wang, Peihang Xu, Chunjiang Tan, Hui Yi, Yifeng Luo

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Clinical and experimental medicine, 2024. 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. Article
  2. Article
  3. Article
  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

10 authors.

Xiangrong Ye *Division of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Sun Yat-sen University, No. 58, Zhongshan Road 2, Guangzhou, 510080, Guangdong, China.
Ye Li *Division of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Sun Yat-sen University, No. 58, Zhongshan Road 2, Guangzhou, 510080, Guangdong, China.
Feng Luo *Division of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Sun Yat-sen University, No. 58, Zhongshan Road 2, Guangzhou, 510080, Guangdong, China.
Zhibin XuDepartment of Organ Transplantation, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Kaidirina KasimuDivision of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Sun Yat-sen University, No. 58, Zhongshan Road 2, Guangzhou, 510080, Guangdong, China.
Juan WangDivision of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Sun Yat-sen University, No. 58, Zhongshan Road 2, Guangzhou, 510080, Guangdong, China.
Peihang XuState Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Chunjiang TanDivision of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Sun Yat-sen University, No. 58, Zhongshan Road 2, Guangzhou, 510080, Guangdong, China. chunjiang.tan1989@gmail.com.
Hui YiDivision of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Sun Yat-sen University, No. 58, Zhongshan Road 2, Guangzhou, 510080, Guangdong, China. yihui2@mail.sysu.edu.cn.
Yifeng LuoDivision of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Sun Yat-sen University, No. 58, Zhongshan Road 2, Guangzhou, 510080, Guangdong, China. lyif@mail.sysu.edu.cn.

Funding

Guangzhou Clinical Characteristic Technology Project C3230125
6 · The paper itself

Abstract

In the realm of acute respiratory infections, coronavirus disease-19 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), poses a global public health challenge. The application of corticosteroids (CSs) in COVID-19 remains a contentious topic among researchers. Accordingly, our team performed a comprehensive meta-analysis of randomized controlled trials (RCTs) to meticulously evaluate the safety and efficacy of CSs in hospitalized COVID-19 patients. To explore efficacy of CSs in the treatment of COVID-19 patients, we meticulously screened RCTs across key databases, including PubMed, Web of Science, Embase, Cochrane Library, ClinicalTrials.gov, as well as China's CNKI and Wanfang Data. We focused on assessing the 28 days mortality rates. We evaluated the data heterogeneity using the Chi-square test and I

Indexed as

COVID-19 Drug TreatmentGlucocorticoidsRandomized Controlled Trials as TopicSARS-CoV-2COVID-19HospitalizationHumansTreatment OutcomeGlucocorticoidsClinical improvementCorticosteroidsCOVID-19Meta-analysisMortality

Identifiers

PMID39003393
PMCPMC11246314

What Socratic 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 Socratic graph.