ArticleJournal of traditional Chinese medicine = Chung i tsa chih ying wen pan2023
Long-term effects of Qingfei Paidu decoction in patients with coronavirus disease 2019 acute pneumonia after treatment: a protocol for systematic review and Meta-analysis.
Article in Journal of traditional Chinese medicine = Chung i tsa chih ying wen pan, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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.
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Who cites it
3 citing papers in PubMed, 0 citations in OpenAlex.
- Integrative Traditional Chinese Medicine Strategies for Refractory Mycoplasma Pneumonia in Children: Clinical Challenges, Mechanisms, and Evidence-Based Insights.Infection and drug resistance · 2026Review
- Effect of Jiegeng () on Jingjie () "" into the lungs based on pharmacokinetics.Journal of traditional Chinese medicine = Chung i tsa chih ying wen pan · 2025Article
- Jinxin oral liquid reduced lung inflammation in influenza A virus infected mice through inhibiting NOD-like receptor protein 3 pathway.Journal of traditional Chinese medicine = Chung i tsa chih ying wen pan · 2025Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study aims to provide evidence regarding whether Qingufei paidu decoction (, QFPD) treatment in the acute phase shows long-term benefits for coronavirus disease 2019-associated sequelae. The 10 databases will be retrieved. Every reference list of related trials and gray literature will be searched as well. Study screening, data extraction, and risk of bias evaluation will be performed by two reviewers (CUI Hanjin and FAN Rong). Data analysis will be conducted by using STATA (version 14). Statistical heterogeneity will be explored by a standard
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Registered trials
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