[Analysis of traditional Chinese medicine syndromes in patients with coronavirus disease 2019 in plateau areas].

OBJECTIVE: To analyze the distribution characteristics of traditional Chinese medicine (TCM) syndromes in patients with coronavirus disease 2019 (COVID-19) in plateau areas, and to provide theoretical basis for further clinical treatment of patients with COVID-19. METHODS: From August 9 to August 24, 2022, patients with COVID-19 admitted to the Third People's Hospital of Tibet Autonomous Region (designated hospital for COVID-19) were included, and their baseline characteristics (age, gender, source), clinical classification and distribution of TCM syndrome types were collected and analyzed. Data analysis was performed using SPSS 26.0 statistical software. RESULTS: A total of 161 COVID-19 patients were enrolled with ethnic distribution: 124 (77.02%) Tibetans, 35 (21.74%) Han, and 2 (1.24%) Hui, 68 males and 93 females. The male-to-female ratio was 0.73:1. Aged 1 to 94 years, the average age was (39.06±23.64) years old, of which 4 patients were under 1 year old (excluded because the information was missing). A total of 157 patients were enrolled, and 124 patients (78.9%) were under 60 years old, including 120 cases of common type, 4 cases of severe type, 0 cases of critical type, 7 cases over 80 years old, 1 case over 90 years old, and 32 cases under 18 years old. The clinical manifestations of the patient are mainly cough, expectoration, fever, aversion to cold, dry throat, headache, fatigue, running nose, dry mouth, bitter mouth, etc. Most of the tongue is pale, red, and white greasy moss or thin white coating. In TCM, the most common syndrome was cold-dampness blocking lung syndrome (99 cases, 63.06%), followed by cold-dampness stagnant lung syndrome (22 cases, 14.01%), damp-heat accumulating lung syndrome (22 cases, 14.01%), and humidity stagnant lung syndrome (11 cases, 7.01%). Syndromes of epidemic (2 cases, 1.27%), epidemic toxins blocking the lung pattern (1 cases, 0.64%), toxins with dryness intense heat in both qi and ying phases pattern (0 cases) accounted for less than 2%, and the distribution of various syndrome types in COVID-19 patients was uneven (χ 2 = 0.48, P < 0.05). CONCLUSIONS: The most common TCM syndromes of COVID-19 patients in Lhasa are cold-dampness blocking lung syndrome, followed by cold-dampness stagnant lung syndrome, damp-heat accumulating lung syndrome, and humidity stagnant lung syndrome.

The adverse effects of novel coronavirus on diabetic foot patients: A protocol for systematic review and meta analysis.

BACKGROUND: Since the outbreak of novel coronavirus in 2019, the number of new coronavirus infections worldwide has been increasing, there is no effective treatment or vaccine. Novel coronavirus infection is closely related todiabetes, the mortality of diabetes with novel coronavirus pneumonia is significantly higher than that of non diabetic with novel coronavirus pneumonia, Diabetic foot is one of the common and serious complications of diabetes, however, no systematic study on novel coronavirus pneumonia adverse effects on diabetic foot has been found at home and abroad, however, this is a problem that can not be ignored. METHODS: We will search each database from the built-in until April 2021. The English literature mainly searches Cochrane Library, PubMed, EMBASE, and Web of Science, while the Chinese literature comes from CNKI, CBM, VIP, and Wangfang database. Simultaneously we will retrieval clinical registration tests and grey literatures, and he researches related to the adverse effects of novel coronavirus on diabetic foot were collected, The 2 researchers worked independently on literature selection, data extraction, and quality assessment. The dichotomous data is represented by relative risk, and the continuous is expressed by mean difference or standard mean difference, eventually the data is synthesized using a fifixed effect model or a random effect model depending on whether or not heterogeneity exists. The primary outcome was clinical response rate, C-reactive protein and procalcitonin. Secondary outcomes are mainly including mortality, amputation rate, wound healing time and nerve conduction velocity. Finally, meta-analysis was conducted by RevMan software version 5.3. RESULTS: The results of our research will be published in a peer-reviewed journal. INPLASY REGISTRATION NUMBER: 202080113.

Efficacy and safety of DPP-4 inhibitor in the treatment of patients with COVID-19 combined with diabetes mellitus: A protocol for systematic review and meta-analysis.

BACKGROUND: DM is a common chronic metabolic disease. COVID-19 is a large-scale infectious disease. Some studies have shown that DM is an independent risk factor that increases COVID-19 mortality or other adverse outcomes. There is currently no specific and effective drug treatment. More and more people realize that DPP-4 inhibitors may play a huge role in fighting COVID-19 combined with diabetes. However, there is no evidence-based medicine to confirm the effectiveness and safety of DPP-4 inhibitors in the treatment of COVID-19 patients with diabetes. Therefore, we will conduct a systematic review and meta-analysis to synthesize the existing clinical evidence. METHODS AND ANALYSIS: Electronic databases include CNKI, Wanfang, VIP, CBM database, Cochrane Library, PubMed, Web of Science, EMBASE, etc. We will retrieve each database from December 2019 to September 2020. At the same time, we will look for clinical trial registration and gray literature. This study only included clinical randomized controlled trials. The reviewers independently conduct literature selection, data analysis, quality analysis, and evaluation. The primary outcomes include mortality rate, morbidity, interleukin-6, tumor necrosis factor-alpha, clinical improvement, symptoms improvement, fasting blood glucose, 2-hour postprandial blood glucose, glycosylated hemoglobin, fasting insulin, adverse reactions, etc. Finally, we will conducted a meta-analysis through Review Manager Software version 5.3. RESULTS: The results will be published in peer-reviewed journals and presented at a relevant conference. CONCLUSION: This study will explore the effectiveness and safety of DPP-4 inhibitors in the treatment of COVID-19 patients with diabetes. It will provide evidence-based medical evidence for DPP-4 inhibitors in the treatment of diabetes with COVID-19. REGISTRATION NUMBER: INPLASY202090015.

Efficacy and safety of Xiyanping for COVID-2019: A protocol for systematic review and meta-analysis.

BACKGROUND: Coronavirus disease 2019 (COVID-19) is a global pandemic caused by the severe acute respiratory syndrome coronavirus-2.COVID-19 is highly pathogenic and infectious. COVID-19 epidemic is still spreading all over the world, and there is no sign of stopping at present. There is no specific cure for this disease, and the clinical management mainly depends on supportive treatment. Xiyanping is widely used in treating COVID-19 in China. However, there is no evidence that Xiyanping is effective and safe for COVID-19. METHODS: A comprehensive literature search will be conducted. Two methodological trained researchers will read the title, abstract, and full texts and independently select the qualified literature according to inclusion and exclusion criteria. After assessment of the risk of bias and data extraction, we will conduct meta-analysis for outcomes related to COVID-19. The heterogeneity of data will be investigated by Cochrane X and I tests. Then publication bias assessment will be conducted by funnel plot analysis and Egger test. RESULTS: The results of our research will be published in a peer-reviewed journal. CONCLUSION: Our study aims to systematically present the clinical evidence of Xiyanping in the treatment of COVID-19, which will be of guiding significance for further research and clinical practice. OPEN SCIENCE FRAMEWORK REGISTRATION NUMBER: 10.17605/OFS.IO/SW75F.

Effects and safety of herbal medicines among community-dwelling residents during COVID-19 pandemic: A large prospective, randomized controlled trial (RCT).

BACKGROUND: Since the declaration of COVID-19 as a global pandemic by the World Health Organization, countries are struggling with a shortage of medical capacities. It would be essential if the risk for preventable comorbidities, such as the common cold, can be reduced or prevented, so that the scarce medical resources and facilities can be focused on COVID-19. PURPOSE: To evaluate the effects of two herbal medicines (Jinhaoartemisia antipyretic granules and Huoxiangzhengqi oral liquids) in reducing the risk of the common cold in community-dwelling residents in China during the COVID-19 outbreak. STUDY DESIGN: A prospective open-label, parallel-group, cluster-randomized controlled trial (RCT), was conducted in Chengdu, China. METHODS: A total of 22,065 participants from 11 communities were recruited during a period of one month. The trial started on 30 January and participants were followed up till 29 February 2020. Participants were randomly assigned to receive either a five-day herbal medicine therapy plus a reference manual or a reference manual only if they were allocated to the control group. The primary endpoint was the occurrence of patient-reported common cold symptoms. The secondary endpoint was the time in days from the receipt of herbal drugs/reference manual and the occurrence of the common cold symptoms. RESULTS: Use of herbal medicine reduced the risk of the common cold by 89.6% (95% CI, 52.9% to 97.7%) in all community-dwelling residents, and by 94.0% (95% CI, 52.1% to 99.2%) in residents aged between 16 and 59 years old. Sensitivity analyses showed similar results. CONCLUSION: This community-based RCT found that the use of a herbal medicine therapy (Jinhaoartemisia antipyretic granules and Huoxiangzhengqi oral liquids) could significantly reduce the risks of the common cold among community-dwelling residents, suggesting that herbal medicine may be a useful approach for public health intervention to minimize preventable morbidity during COVID-19 outbreak.

The influence of hypoglycemia and hyperglycemia on the adverse outcome of COVID-19 combined with diabetes mellitus: A protocol for systematic review and meta-analysis.

BACKGROUND: COVID-19 has become a global epidemic, causing huge loss of life and property. Diabetes will affect the prognosis of COVID-19 patients in many ways. Both hyperglycemia and hypoglycemia can affect oxidative stress and lead to the release of inflammatory mediators, leading to multiple organ damage and chronic inflammation. Here, we want to know whether hyperglycemia or hypoglycemia will adversely affect patients with diabetes and COVID-19 comorbidities. This has very important practical significance for the control of blood glucose in the treatment of diabetes combined with SARS-COV-2 infection. METHODS: We will search electronic databases including PubMed, EMBASE, the Cochrane Central Register of Controlled Trials (CENTRAL), Chinese Biomedical Literature Database (CBM), China National Knowledge Infrastructure (CNKI), Chinese Science and Technology Periodical Database (VIP), and Wanfang database using keywords related to COVID-19, diabetes mellitus, hyperglycemia and hypoglycemia. We will manually search gray literature, such as conference proceedings and academic degree dissertations, and trial registries. Two independent reviewers will screen studies, extract data, and evaluate risk of bias. Data analysis will be conducted using the Review Manager software version 5.3.5 and STATA4.0 software for Mac. The main outcome was the mortality of COVID-19 which was included in meta-analysis and subgroup analysis. The bias of the study was evaluated independently by NOS scale, and published by funnel chart. The sensitivity was analyzed row by row. RESULTS: This study will provide a high-quality synthesis of hyperglycemia and hypoglycemia in patients with COVID-19 combined with diabetes mellitus. To provide evidence for clinical treatment of diabetes mellitus combined with COVID-19. And the results will be published at a peer-reviewed journal.INPLASY registration number INPLASY 202080096.

Efficacy and safety of chloroquine and hydroxychloroquine in the treatment of patients with COVID-19 combined with diabetes mellitus: A protocol for systematic review and meta-analysis.

BACKGROUND: Diabetes is a common chronic metabolic disease. COVID-19 is a large-scale infectious disease that broke out in 2019, and 212 countries have now been infected with this infectious disease. Some studies have shown that COVID-19 combined with diabetes is an independent risk factor for death or other adverse outcomes. There is currently no specific and effective drug treatment. More and more people have realized that the low-cost CQ and its derivative HCQ have antiviral and anti-inflammatory capabilities and may play a huge role in the fight against COVID-19. At the same time, HCQ can be used as an oral hypoglycemic agent and has the effect of lowering blood glucose. However, there is no evidence-based medicine to confirm the effectiveness and safety of CQ and HCQ in the treatment of COVID-19 patients with diabetes. Therefore, we will conduct a systematic review and meta-analysis to synthesize the existing clinical evidences. METHODS AND ANALYSIS: Chinese literature comes from CNKI, Wanfang, VIP, CBM databases. English literature mainly searches Cochrane Library, PubMed, Web of Science, EMBASE. We will retrieve each database from December 2019 to August 2020. At the same time, we will look for clinical trial registration and gray literature. This study only included clinical randomized controlled trials. The reviewers independently conduct literature selection, data analysis, quality analysis, and evaluation. The primary outcomes include Sputum virus nucleic acid negative time, lung imaging improvement time, mortality rate, mechanical ventilation rate, ICU hospitalization time, hospitalization time, clinical improvement, symptoms Improvement, fasting blood glucose, 2-hour postprandial blood glucose, glycosylated hemoglobin, fasting insulin, adverse reactions, etc. Finally, we will conducted a meta-analysis through Review Manager Software version 5.3. RESULTS: The results will be published in peer-reviewed journals and presented at a relevant conference. CONCLUSION: This study will explore the effectiveness and safety of CQ and HCQ in the treatment of COVID-19 patients with diabetes. It will provide evidence-based medical evidence for CQ and HCQ in the treatment of diabetes with COVID-19. REGISTRATION NUMBER: INPLASY202070109.

The relationship between hyperglycemia and the infection of COVID-19 in diabetic patients: A protocol for systematic review and meta-analysis.

BACKGROUND: DM is a common chronic metabolic disease. COVID-19 is an infectious disease infected by enveloped single-stranded RNA coronavirus. Meanwhile, DM is a common comorbidity of SARS-CoV-2 infection. The virus can directly or indirectly damage the pancreatic islets and cause stress hyperglycemia by causing cytokine storms, acute inflammatory reactions, binding to the ACE2 receptor, etc. At the same time, hyperglycemia is a risk factor for severe infection and an independent risk factor for mild to severe disease. However, there is no evidence-based medicine to confirm the relationship between hyperglycemia and the infection of COVID-19 in diabetic patients. Therefore, we will conduct a systematic review and meta-analysis to synthesize the existing clinical evidence. METHODS AND ANALYSIS: We will retrieve each database from December 2019 to July 2020. Chinese literature comes from CNKI, Wanfang, VIP, CBM databases. English literature mainly searches Cochrane Library, PubMed, Web of Science, EMBASE. At the same time, we will look for clinical trial registration and gray literature. This study only included clinical randomized controlled trials. The reviewers independently conduct literature selection, data analysis, bias risk assessment, subgroup and sensitivity analysis. The primary outcomes include fasting blood glucose, 2-hour postprandial blood glucose, glycated hemoglobin, fasting insulin, adverse effects, etc. Finally, we will conduct a meta-analysis through Review Manager software version 5.3. RESULTS: The results will be published in peer-reviewed journals. CONCLUSION: This study will explore the relationship between hyperglycemia and COVID-19 infection in diabetic patients. It will provide evidence-based support for clinical regulation of blood glucose and combating the COVID-19 epidemic. REGISTRATION NUMBER: INPLASY202060114.

Qingfei Paidu decoction for treating COVID-19: A protocol for a meta-analysis and systematic review of randomized controlled trials.

BACKGROUND: Coronavirus disease 2019 (COVID-19) is one of the infectious diseases that have seriously threatened global public health since its outbreak in 2019. Due to the complicated Pathogenesis, high infectivity and high fatality rate of COVID-19, there is currently no effective treatment for such epidemic disease. Traditional Chinese medicine has a long clinical history for the prevention and treatment of this kind of acute infectious disease. Qingfei Paidu Decoction (QFPD) is widely used in treating COVID-19 in China. However, there is still a lack of comprehensive and systematic evidence on the effectiveness and safety of Qingfei Paidu Decoction. METHODS: We will search each database from the built-in until May 2020. The English literature mainly searches Cochrane Library, PubMed, EMBASE, and Web of Science, while the Chinese literature comes from CNKI, CBM, VIP, and Wangfang database. Simultaneously we will retrieval clinical registration tests and grey literatures. This study only screen the clinical randomized controlled trials (RCTs) about QFPD for COVID-19 to assess its efficacy and safety. The two researchers worked independently on literature selection, data extraction, and quality assessment. The dichotomous data is represented by relative risk (RR), and the continuous is expressed by mean difference (MD) or standard mean difference (SMD), eventually the data is synthesized using a fixed effect model (FEM) or a random effect model (REM) depending on whether or not heterogeneity exists. Total clinical effective rate, improvement rate of lung CT, adverse events were evaluated as the main outcomes. Effective rate of clinical symptoms, treatment time were secondary outcomes. Finally, meta-analysis was conducted by RevMan software version 5.3. RESULTS: The results of our research will be published in a peer-reviewed journal. CONCLUSION: This systematic review aims to provide new evidence of QFPD for COVID-19 in terms of its efficacy and safety. PROSPERO REGISTRATION NUMBER: CRD42020200894.

Efficacy and safety of ACEI/ARB drugs in patients with COVID-19 combined with diabetes mellitus: A protocol for systematic review and meta-analysis of randomized controlled trials.

BACKGROUND: Novel coronavirus pneumonia (COVID-19) has become a worldwide epidemic, causing huge loss of life and property. Because of its unique pathological mechanism, diabetes affects the prognosis of patients with COVID-19 in many aspects. At present, there are many controversies about whether angiotensin-converting enzyme inhibitors/angiotensin receptor blockers (ACEI/ARB) should be used in the treatment of patients with diabetes mellitus and COVID-19 comorbidities. There is an urgent need to provide evidence for the use of ACEI/ARB through high-quality systematic evaluation and meta-analysis. METHODS: We will search electronic databases including PubMed, Embase, the Cochrane Central Register of Controlled Trials (CENTRAL), Chinese Biomedical Literature Database, China National Knowledge Infrastructure, Chinese Science and Technology Periodical Database, and Wanfang database using keywords related to COVID-19, diabetes mellitus, ACEI/ARB drugs, and randomized controlled trials . We will manually search gray literature, such as conference proceedings and academic degree dissertations, and trial registries. Two independent reviewers will screen studies, extract data, and evaluate risk of bias. Data analysis will be conducted using the Review Manager software version 5.3.5 and stata 14.0 software for Mac. Statistical heterogeneity will be assessed using a standard chi-square test with a significance level of P < .10. Biases associated with study will be investigated using funnel plots. RESULTS: This study will provide a high-quality synthesis of efficacy and safety of ACEI/ARB drugs in patients with COVID-19 combined with diabetes mellitus, providing evidence for clinical treatment of diabetes mellitus combined with COVID-19. And the results will be published at a peer-reviewed journal. CONCLUSION: Our study will draw conclusions on the efficacy and safety of ACEI / ARB drugs in patients with diabetes mellitus complicated with covid-19, so as to provide theoretical guidance for clinical practice of diabetes mellitus with covid-19. INPLASY REGISTRATION NUMBER: INPLASY 202060111.

Chinese medicine for COVID-19: A protocol for systematic review and meta-analysis.

BACKGROUND: Coronavirus disease 2019 (COVID-19) is a respiratory illness that can spread from person to person. The virus that causes COVID-19 is a novel coronavirus that was first identified during an investigation into an outbreak in Wuhan, China. The clinical spectrum of SARS-CoV-2 infection appears to be wide, encompassing asymptomatic infection, mild upper respiratory tract illness, and severe viral pneumonia with respiratory failure and even death, with many patients being hospitalised with pneumonia. In China and East Asia, Chinese medicine has been widely used to treat diverse diseases for thousands of years. As an important means of treatment now, Chinese medicine plays a significant role in the treatment of respiratory diseases in China. The aim of this study is to assess the efficacy and safety of Chinese medicine for COVID-19. METHODS: We will search the following sources for the identification of trials: The Cochrane Library, PubMed, EMBASE, Chinese Biomedical Literature Database (CBM), Chinese National Knowledge Infrastructure Database (CNKI), Chinese Science and Technique Journals Database (VIP), and the Wanfang Database. All the above databases will be searched from the available date of inception until the latest issue. No language or publication restriction will be used. Randomized controlled trials will be included if they recruited participants with COVID-19 for assessing the effect of Chinese medicine vs control (placebo, no treatment, and other therapeutic agents). Primary outcomes will include chest CT and nucleic acid detection of respiratory samples. Two authors will independently scan the articles searched, extract the data from articles included, and assess the risk of bias by Cochrane tool of risk of bias. Disagreements will be resolved by consensus or the involvement of a third party. All analysis will be performed based on the Cochrane Handbook for Systematic Reviews of Interventions. Dichotomous variables will be reported as risk ratio or odds ratio with 95% confidence intervals (CIs) and continuous variables will be summarized as mean difference or standard mean difference with 95% CIs. RESULTS AND CONCLUSION: The available evidence of the treatment of COVID-19 with traditional Chinese medicine will be summarized, and evaluation of the efficacy and the adverse effects of these treatments will be made. This review will be disseminated in print by peer-review.

Efficacy and safety of Lian-Hua Qing-Wen granule for COVID-2019: A protocol for systematic review and meta-analysis.

BACKGROUND: Coronavirus disease 2019 (COVID-19) is a global pandemic caused by the Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2). Since the outbreak, the disease has caused more than 60,502 deaths worldwide. Lian-Hua Qing-Wen Granule (LHQWG) is widely used in treating COVID-19 in China. However, there is no evidence that LHQWG is effective for COVID-19. METHODS AND ANALYSIS: A comprehensive literature search will be conducted. Two methodological trained researchers will read the title, abstract and full texts and independently select the qualified literature according to inclusion and exclusion criteria. After assessment of the risk of bias and data extraction, we will conduct meta-analyses for outcomes related to COVID-19. The heterogeneity of data will be investigated by Cochrane X and I tests. Publication bias assessment will be conducted by funnel plot analysis and Egger test. RESULTS: The results of our research will be published in a peer-reviewed journal. CONCLUSION: Our study aims to systematically present the clinical evidence of LHQWG in treating COVID-19, which will be of significant meaning for further research and clinical practice. OSF REGISTRATION NUMBER: 10.17605/OSF.IO/27SBU.

The effect of diabetes on mortality of COVID-19: A protocol for systematic review and meta-analysis.

BACKGROUND: Novel coronavirus pneumonia (COVID-19) is a very serious and urgent infectious disease. With the development of global economy and the improvement of living standard, the incidence of diabetes is increasing year by year. And it is more common in the elderly. COVID-19 is associated with much chronic disease, especially diabetes. At present, there is no systematic review and meta-analysis of mortality based on large scale of data between diabetes and COVID-19 all over the world. METHODS AND ANALYSIS: The databases of PubMed, the Cochrane Library, EMBASE, Wanfang Data, China National Knowledge Infrastructure database (CNKI) and VIP were searched by computer, and the researches related to diabetes mellitus and mortality of COVID-19 were collected. The searching time was from the establishment of the database to April 30 2020. The meta-analysis was carried out by Review Manager Version 5.3 and stata 14.0 software for Mac software after 2 researchers independently selected literature, extracted data and evaluated the bias risk. The main outcome was the mortality of COVID-19 which was included in meta-analysis and subgroup analysis. The bias of the study was evaluated independently by NOS scale, and published by funnel chart. The sensitivity was analyzed row by row. RESULTS: The results will be published at a peer-reviewed journal.Registration number: INPLASY202040158.