ABSTRACT
BACKGROUND: A recent cluster of pneumonia cases in Wuhan, China, has been caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). We propose the protocol described below to perform an individual-patient data (IPD) network meta-analysis (NMA) in order to evaluate the efficacies of different antiviral drugs to treat patients with coronavirus disease 2019 (COVID-19). MATERIALS AND METHODS: We will search the Medline, EMBASE, Cochrane Library, SinoMed, CNKI and VIP databases from their inceptions through July 2020. There will be no restrictions on language, publication year, or publication type. Randomized clinical trials (RCTs) and prospective cohort studies with antiviral treatments for COVID-19 will be considered. Two reviewers will independently select studies and collect data. Risk-of-bias assessments will be completed using the Cochrane risk-of-bias scale. Primary outcome will be the COVID-19 recovery rate. We will combine aggregated data from IPD with the NMA in a single model, compare the effects of different antiviral drugs on patient-relevant efficacy, and rank the results to decide which is the most effective. TRIAL REGISTRATION: PROSPERO registration number: CRD42020167038.
Subject(s)
Antiviral Agents/therapeutic use , Coronavirus Infections/drug therapy , Pneumonia, Viral/drug therapy , Betacoronavirus/isolation & purification , COVID-19 , Coronavirus Infections/mortality , Coronavirus Infections/pathology , Coronavirus Infections/virology , Databases, Factual , Humans , Network Meta-Analysis , Pandemics , Pneumonia, Viral/mortality , Pneumonia, Viral/pathology , Pneumonia, Viral/virology , Randomized Controlled Trials as Topic , Risk , SARS-CoV-2 , Treatment OutcomeABSTRACT
Objective: This study aimed at exploring the current development status and problems of health emergency management in China and provides a reference for improving, constructing, and implementing a public health emergency management system. Methods: Cases of major and severe public health emergencies in China were analyzed along with the relevant health emergency management literature from the last decade. Results: China's health emergency system gradually improved during the study period. Monitoring and early warning systems were significantly strengthened. Material reserves and transfer management systems were constantly improved. However, the operational efficiency of command and decision systems was low, versatile talent accounted for a relatively small proportion, and emergency fund investment was insufficient. Conclusion: Constructing a sound and scientific emergency management mechanism is a lengthy and challenging process. To establish an emergency management mode for public health emergencies that is appropriate for China, it is necessary to solve existing problems and learn from the models and experiences of developed foreign countries.