Tao Dong, Wentao Zhang, Tingting Wu, Yongxiang Ge, Qi Yang, Jia Xu, Yuna Liu
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Additionally, its impact on the length of hospital stay (LOHS), time to first nucleic acid negative conversion (T-FNANC), and adverse events was evaluated. The inclusion criterion was that the studies were published from July 2021 to April 10, 2024. This study uses the ROBINS-I tool to assess bias risk and employs the GRADE approach to evaluate the certainty of the evidence.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>The meta-analysis included 24 retrospective studies involving a total of 11 830 patients. Low-certainty evidence revealed no significant difference in mortality (OR = 0.91, 95% CI: 0.76–1.08) or LOHS (WMD = −0.24, 95% CI: −0.83 to 0.35) between FNC and Paxlovid in COVID-19 patients. Low-certainty evidence shows that the T-FNANC was longer (WMD = 1.95, 95% CI: 0.36–3.53). Compared with the Paxlovid group, low-certainty evidence shows the FNC group exhibited a worse composite outcome (OR = 0.77, 95% CI: 0.63–0.95) and fewer adverse events (OR = 0.63, 95% CI: 0.46–0.85). Compared with supportive treatment, low certainty shows FNC significantly reduced the mortality rate in COVID-19 patients (OR = 0.61, 95% CI: 0.51–0.74) and decreased the composite outcome (OR = 0.67, 95% CI: 0.50–0.91), and very low certainty evidence shows significantly decreased the T-FNANC (WMD = −4.62, 95% CI: −8.08 to −1.15). However, in very low certainty, there was no significant difference in LOHS (WMD = −0.70, 95% CI: −3.32 to 1.91) or adverse events (OR = 1.97, 95% CI: 0.48–8.17).</p>\n </section>\n \n <section>\n \n <h3> Conclusions</h3>\n \n <p>FNC appears to be a safe and potentially effective treatment for COVID-19 in China, but further research with larger, high-quality studies is necessary to confirm these findings. Due to the certainty of the evidence and the specific context of the studies conducted in China, caution should be exercised when considering whether the results are applicable worldwide.</p>\n </section>\n \n <section>\n \n <h3> Trial Registration</h3>\n \n <p>PROSPERO number: CRD42024520565</p>\n </section>\n </div>","PeriodicalId":55247,"journal":{"name":"Clinical Respiratory Journal","volume":"18 7","pages":""},"PeriodicalIF":1.9000,"publicationDate":"2024-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/crj.13798","citationCount":"0","resultStr":"{\"title\":\"Efficacy and Safety of Azvudine in Patients With COVID-19 in China: A Meta-Analysis of Observational Studies\",\"authors\":\"Tao Dong, Wentao Zhang, Tingting Wu, Yongxiang Ge, Qi Yang, Jia Xu, Yuna Liu\",\"doi\":\"10.1111/crj.13798\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Background</h3>\\n \\n <p>Azvudine (FNC) is a novel small molecule antiviral drug for treating COVID-19 that is available only on the Chinese market. 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This study uses the ROBINS-I tool to assess bias risk and employs the GRADE approach to evaluate the certainty of the evidence.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>The meta-analysis included 24 retrospective studies involving a total of 11 830 patients. Low-certainty evidence revealed no significant difference in mortality (OR = 0.91, 95% CI: 0.76–1.08) or LOHS (WMD = −0.24, 95% CI: −0.83 to 0.35) between FNC and Paxlovid in COVID-19 patients. Low-certainty evidence shows that the T-FNANC was longer (WMD = 1.95, 95% CI: 0.36–3.53). Compared with the Paxlovid group, low-certainty evidence shows the FNC group exhibited a worse composite outcome (OR = 0.77, 95% CI: 0.63–0.95) and fewer adverse events (OR = 0.63, 95% CI: 0.46–0.85). Compared with supportive treatment, low certainty shows FNC significantly reduced the mortality rate in COVID-19 patients (OR = 0.61, 95% CI: 0.51–0.74) and decreased the composite outcome (OR = 0.67, 95% CI: 0.50–0.91), and very low certainty evidence shows significantly decreased the T-FNANC (WMD = −4.62, 95% CI: −8.08 to −1.15). However, in very low certainty, there was no significant difference in LOHS (WMD = −0.70, 95% CI: −3.32 to 1.91) or adverse events (OR = 1.97, 95% CI: 0.48–8.17).</p>\\n </section>\\n \\n <section>\\n \\n <h3> Conclusions</h3>\\n \\n <p>FNC appears to be a safe and potentially effective treatment for COVID-19 in China, but further research with larger, high-quality studies is necessary to confirm these findings. 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Efficacy and Safety of Azvudine in Patients With COVID-19 in China: A Meta-Analysis of Observational Studies
Background
Azvudine (FNC) is a novel small molecule antiviral drug for treating COVID-19 that is available only on the Chinese market. Despite being recommended for treating COVID-19 by the Chinese guidelines, its efficacy and safety are still unclear. This study aimed to evaluate the protective effect of FNC on COVID-19 outcomes and its safety.
Methods
We followed the PRISMA 2020 guidelines and searched the PubMed, Embase, Web of Science, Scopus, and China National Knowledge Infrastructure (CNKI) databases to evaluate studies on the effectiveness of FNC in treating COVID-19 in China, focusing on mortality and overall outcomes. Additionally, its impact on the length of hospital stay (LOHS), time to first nucleic acid negative conversion (T-FNANC), and adverse events was evaluated. The inclusion criterion was that the studies were published from July 2021 to April 10, 2024. This study uses the ROBINS-I tool to assess bias risk and employs the GRADE approach to evaluate the certainty of the evidence.
Results
The meta-analysis included 24 retrospective studies involving a total of 11 830 patients. Low-certainty evidence revealed no significant difference in mortality (OR = 0.91, 95% CI: 0.76–1.08) or LOHS (WMD = −0.24, 95% CI: −0.83 to 0.35) between FNC and Paxlovid in COVID-19 patients. Low-certainty evidence shows that the T-FNANC was longer (WMD = 1.95, 95% CI: 0.36–3.53). Compared with the Paxlovid group, low-certainty evidence shows the FNC group exhibited a worse composite outcome (OR = 0.77, 95% CI: 0.63–0.95) and fewer adverse events (OR = 0.63, 95% CI: 0.46–0.85). Compared with supportive treatment, low certainty shows FNC significantly reduced the mortality rate in COVID-19 patients (OR = 0.61, 95% CI: 0.51–0.74) and decreased the composite outcome (OR = 0.67, 95% CI: 0.50–0.91), and very low certainty evidence shows significantly decreased the T-FNANC (WMD = −4.62, 95% CI: −8.08 to −1.15). However, in very low certainty, there was no significant difference in LOHS (WMD = −0.70, 95% CI: −3.32 to 1.91) or adverse events (OR = 1.97, 95% CI: 0.48–8.17).
Conclusions
FNC appears to be a safe and potentially effective treatment for COVID-19 in China, but further research with larger, high-quality studies is necessary to confirm these findings. Due to the certainty of the evidence and the specific context of the studies conducted in China, caution should be exercised when considering whether the results are applicable worldwide.
期刊介绍:
Overview
Effective with the 2016 volume, this journal will be published in an online-only format.
Aims and Scope
The Clinical Respiratory Journal (CRJ) provides a forum for clinical research in all areas of respiratory medicine from clinical lung disease to basic research relevant to the clinic.
We publish original research, review articles, case studies, editorials and book reviews in all areas of clinical lung disease including:
Asthma
Allergy
COPD
Non-invasive ventilation
Sleep related breathing disorders
Interstitial lung diseases
Lung cancer
Clinical genetics
Rhinitis
Airway and lung infection
Epidemiology
Pediatrics
CRJ provides a fast-track service for selected Phase II and Phase III trial studies.
Keywords
Clinical Respiratory Journal, respiratory, pulmonary, medicine, clinical, lung disease,
Abstracting and Indexing Information
Academic Search (EBSCO Publishing)
Academic Search Alumni Edition (EBSCO Publishing)
Embase (Elsevier)
Health & Medical Collection (ProQuest)
Health Research Premium Collection (ProQuest)
HEED: Health Economic Evaluations Database (Wiley-Blackwell)
Hospital Premium Collection (ProQuest)
Journal Citation Reports/Science Edition (Clarivate Analytics)
MEDLINE/PubMed (NLM)
ProQuest Central (ProQuest)
Science Citation Index Expanded (Clarivate Analytics)
SCOPUS (Elsevier)