Table 1_Efficacy of Yupingfeng powder in the treatment of bronchial asthma in adults: a sy
by Qianqian Zhang·Updated 1mo ago
18.3 KB1files
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Description
A systematic review and meta-analysis of 20 randomized controlled trials published up to October 20, 2025, involving 1,896 adult participants with bronchial asthma. The study, conducted by Qianqian Zhang and adhering to PRISMA 2020 guidelines, evaluates the efficacy and safety of Yupingfeng Powder combined with conventional biomedical therapy. It reports on clinical response rates, pulmonary function parameters, and adverse events.
Use Cases
Evaluate the clinical overall response rate of Yupingfeng Powder based on the reported risk ratio and confidence intervals.
Assess improvements in pulmonary function based on FEV1, FVC, FEV1/FVC, and PEF standardized mean difference values.
Analyze treatment safety based on the reported incidence of mild adverse events like gastrointestinal discomfort.
Investigate sources of heterogeneity in clinical studies based on treatment duration and study year subgroup analyses.
Strengths
Includes data from 20 randomized controlled trials with a total of 1,896 participants.
Follows PRISMA 2020 guidelines and was registered in PROSPERO (CRD420251172600).
Reports specific statistical outcomes including risk ratios, standardized mean differences, and I² values for heterogeneity.
Limitations
The underlying data is presented as a summary document (DOCX); raw trial-level data is not provided.
The dataset is very small (18.3 KB), indicating it contains summary results rather than a full research dataset.
Column-level documentation is absent; field semantics must be inferred from the text.
Provenance
Source
Qianqian Zhang via figshare
Collection Method
Systematic review and meta-analysis of RCTs from seven databases including PubMed, Embase, and Cochrane Library.
Time Range
Studies included up to October 20, 2025.
Freshness
Last updated 2026-05-01 05:27:47
Data is licensed under CC-BY-4.0. The primary content is a summary document, not a structured dataset.