ArticleMedicine2020
Clinical symptoms between severe and non-severe COVID-19 pneumonia: A protocol for systematic review and meta-analysis.
Article in Medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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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.
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.
Who cites it
2 citing papers in PubMed.
- Enhancement strategies for transdermal drug delivery systems: current trends and applications.Drug delivery and translational research · 2022Article
- Long COVID or Post-acute Sequelae of COVID-19 (PASC): An Overview of Biological Factors That May Contribute to Persistent Symptoms.Frontiers in microbiology · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCoronavirus disease 2019, (COVID-19) is a major problem in public health in the world. Up to June, 2020, the number of infections arising to 8,690,000 and cause 410,000 deaths all over the world. Identification the clinical symptoms from non-severe to severe is important for clinician. This meta-analysis aimed to compare the clinical symptoms between severe and non-severe COVID-19 pneumonia.
methodsElectronic databases including PubMed, EMBASE, Web of Science, China National Knowledge Infrastructure database, Wanfang Database and Chinese Biomedical Literature Database were searched from its inception to June 21, 2020. We only included severe versus non-severe COVID-19 pneumonia patients and pooled results were summarized by STATA 12.0 software.Two researchers independently selected the study and assessed the quality of the included studies. The heterogeneity was measured by I tests (I < 50 indicates little heterogeneity, I≥50 indicates high heterogeneity). Publication bias was ruled out by funnel plot and statistically assessed by Begg test (P > .05 as no publication bias).
resultsResults will be published in relevant peer-reviewed journals.
conclusionOur study aims to systematically present the clinical symptoms between non-severe and severe of COVID-19 patients, which will be provide clinical guidance for COVID-19 patients.
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Registered trials
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