No abstract

No abstract

Graphical abstract

Objective To explore the effect of Ludangshen oral liquid for treatment of convalescent patients with coronavirus disease 2019 (COVID-19) with randomized, double-blind, placebo-controlled multicenter method. Methods 200 convalescent COVID-19 patients who had symptoms related to decreased digestive and respiratory function were randomly divided to either receive Ludangshen oral liquid or placebo for 2 weeks. The severity of clinical symptoms including fatigue, anorexia, abdominal distension, loose stools, and shortness of breath were assessed by visual analogue scale and observed at before and after treatment. The improvement and resolution rates of clinical symptoms were evaluated. Full analysis set (FAS) and per-protocol set (PPS) were used for statistical analyses. Adverse events were recorded during the study. Results 8 patients did not complete the study. After 2 weeks of treatment, both FAS and PPS results showed that patients in Ludangshen group had significantly lower score of fatigue, anorexia, loose stools, and shortness of breath than placebo group (P < 0.05), while there was no significant difference in distention (P > 0.05). The improvement rate of fatigue, anorexia, distension, loose stools and shortness of breath were significantly higher in Ludangshen group (P < 0.05), as well as the resolution rates (P < 0.05) except for shortness of breath (P > 0.05). There were two cases of adverse events, with one nose bleeding in Ludangshen group and one headache in placebo group. Conclusion The study suggested that two weeks of Ludangshen oral liquid treatment may have certain effects for convalescent COVID-19 patients on improving digestive and respiratory symptoms including fatigue, anorexia, loose stools and shortness of breath, which may be one of the choices for management of convalescent COVID-19 patients with digestive and respiratory symptoms.

Introduction: Recently, significant contributions to the study of endocrinology and metabolism have been made. The national contribution, however, has not been reported. The aim of this study was to assess national efforts in the field of endocrinology and metabolism. Material and methods: A Web of Science search was performed using subject categories "endocrinology & metabolism" to identify articles published from 2010 to 2014. The total and per capita numbers of articles and citations were analysed for different countries. Results: A total of 79,394 articles were published on endocrinology and metabolism from 2010 to 2014. Most were published in North America, East Asia, and Europe. The majority (82.28%) were reported by authors in high-income countries, 17.64% were published in middle-income countries, and only 0.08% were published in low-income countries. Authors in the United States published the most articles (27.38%), followed by China (7.22%), Italy (5.70%), the United Kingdom (5.6%), and Japan (5.54%). Articles published by authors in the United States had the most citations (260,934). A positive correlation was found between the number of publications and population/gross domestic product (GDP; p < 0.01). When normalised to population size, the ranking for the most publications was Denmark, Sweden, and the Netherlands; when normalised to GDP, the ranking was Denmark, Greece, and the Netherlands. Conclusions: The majority of endocrinology and metabolism articles were published by authors from high-income countries with few from low-income countries. The United States was the most productive country. However, when population size and GDP were considered, some European countries were ranked higher.

Objective: During the follow-up of patients recovered from coronavirus disease 2019 (COVID-19) in the quarantine and observation period, some of the cured patients showed positive results again. The recurrent positive RT-PCR test results drew widespread concern. We observed a certain number of cured COVID-19 patients with positive RT-PCR test results and try to analyze the factors that caused the phenomenon. Methods: We conducted an observational study in COVID-19 patients discharged from 6 rehabilitation stations in Wuhan, China. All observed subjects met the criteria for hospital discharge and were in quarantine. Data regarding age, sex, body mass index (BMI), course of disease, comorbidity, smoking status and alcohol consumption, symptoms in and out of quarantine, and intervention were collected from the subjects' medical records and descriptively analyzed. The main outcome of this study was the RT-PCR test result of the observed subjects at the end of quarantine (negative or positive). Logistic regression analysis was used to identify the influencing factors related to recurrent positive RT-PCR test results. Results: In this observational study, 420 observed subjects recovered from COVID-19 were included. The median age was 56 years, 63.6% of the subjects were above 50 years old, and 50.7% (213/420) were female. The most common comorbidities were hypertension [26.4% (111/420)], hyperlipidemia [10.7% (45/420)], and diabetes [10.5% (44/420)]. 54.8% (230/420) manifested one or more symptoms at the beginning of the observation period, the most common symptoms were cough [27.6% (116/420)], shortness of breath 23.8% (100/420)], and fatigue [16.2% (68/420)], with fever rare [2.6% (11/420)]. A total of 325 subjects were exposed to comprehensive intervention; 95

Background:Bibliometric analysis is an approach to evaluate the circumstances and trends in specific research field over time and to provide inspiration in future research and policy. Researches have a tremendous increase focus on the role of the microbiota in the development of diabetes in recent years; however, there is no published literature conducting a bibliometric analysis to explore the tendency. The aim of this study was to provide a detailed evaluation of the hundred most cited articles in microbiota of diabetes research.Methods:The database of the Web of Science was utilized for identification of articles. The top 100 were selected for further analysis of authorship, number of citations, article type, source journal, geographic origin, and interactions.Results:The articles selected were published from 2007 to 2015. The total citations ranged from 1289 to 35, citation density ranged from 163.75 to 6.5. The article type included basic science (n = 32), review (n = 29), expert opinion (n = 19), cross-sectional study (n = 12), RCT (n = 3), and others (n = 5). The study content included pathogenesis (n = 58), risk factor (n = 11), modifying of intestinal microbiota (n = 10), prebiotic treatment (n = 8), antibiotic treatment (n = 4), diet control (n = 4), and others (n = 5). The 100 most cited articles were published in 59 journals. Among them, Diabetes (n = 7), Diabetologia (n = 7), and Plos one (n = 7) published the most T100 articles. In total, 24 countries and 174 scientific research institutions participated in those researches. USA (n = 32) and Belgium (n = 22) were the leading countries in this field, followed by France (n = 18) and Finland (n = 16). Patrice D. Cani contributed the most top cited articles (n = 15).Conclusion:This bibliometric study is likely to include a list of intellectual milestones focused on microbiota of diabetes research in the past decade, which provides insights into the circumstances and trends in preventing and treating diabetes from a new perspective.

Coronavirus disease (COVID-19) is a new infectious disease associated with high mortality, and traditional Chinese medicine decoctions (TCMDs) have been widely used for the treatment of patients with COVID-19 in China; however, the impact of these decoctions on severe and critical COVID-19-related mortality has not been evaluated. Therefore, we aimed to address this gap. In this retrospective cohort study, we included inpatients diagnosed with severe/critical COVID-19 at the Tongren Hospital of Wuhan University and grouped them depending on the recipience of TCMDs (TCMD and non-TCMD groups). We conducted a propensity score-matched analysis to adjust the imbalanced variables and treatments and used logistic regression methods to explore the risk factors associated with in-hospital death. Among 282 patients with COVID-19 who were discharged or died, 186 patients (66.0%) received TCMD treatment (TCMD cohort) and 96 (34.0%) did not (non-TCMD cohort). After propensity score matching at a 1:1 ratio, 94 TCMD users were matched to 94 non-users, and there were no significant differences in baseline clinical variables between the two groups of patients. The all-cause mortality was significantly lower in the TCMD group than in the non-TCMD group, and this trend remained valid even after matching (21.3% [20/94] vs. 39.4% [37/94]). Multivariable logistic regression model showed that disease severity (odds ratio: 0.010; 95% CI: 0.003, 0.037; [Formula: see text] < 0.001) was associated with increased odds of death and that TCMD treatment significantly decreased the odds of in-hospital death (odds ratio: 0.115; 95% CI: 0.035, 0.383; [Formula: see text] < 0.001), which was related to the duration of TCMD treatment. Our findings show that TCMD treatment may reduce the mortality in patients with severe/critical COVID-19.