Given the severe situation of coronavirus disease (COVID-19), the elderly, especially elderly patients with chronic diseases are the key populations for prevention and control. We developed recommendations of daily diets for elderly and the elderly patients with chronic diseases during the COVID-19 epidemic, based on the best available evidence and expert experiences. Levels of evidence and recommendations were determined by the method of the Oxford Centre for EBM Levels of Evidence (2001). These urgent recommendations aim to guide staffs in medical institutions to assist the elderly make sensible meal arrangements during this particular period.
ObjectiveTo systematically review the researches on grading criteria for quality of evidence and strength of recommendations of traditional Chinese medicine (TCM). MethodsPubMed, EMbase, Web of Science, CNKI, WanFang Data and VIP databases were electronically searched to collect researches on grading criteria for quality of evidence and strength of recommendations of traditional Chinese medicine from inception to June 2021. Two reviewers independently screened literature, extracted data; and then, descriptive analysis was performed using qualitative methods. ResultsA total of 18 studies were included. Specifically, 8 studies presented both the level of evidence and the strength of recommendations, 9 presented the level of evidence, and 1 presented the strength of recommendations. Thirteen studies considered both TCM evidence and modern medical evidence sources, 3 included only evidence from ancient literature, 1 focused only on post-marketing safety evaluation of Chinese medicine, and 1 focused only on real-world studies of TCM. ConclusionCurrently, there are numerous criteria for TCM related quality of evidence and strength of recommendations, and some are developed only for TCM characteristic evidence. Most researchers of TCM guidelines expect to fully value the significance of ancient literature and expert experience or opinion in guideline development.
During the coronavirus disease 2019 (COVID-19) epidemics, universities take responsibility for the health of their students and epidemic control. Our urgent recommendation focuses on four key questions of emergency management in universities following rigorous evidence-based approaches and provides timely suggestions to university managers, academic faculties and student affairs managers. We recommend universities during the COVID-19 epidemics should: 1) suspend offline lectures; 2) provide proper health education on the disease; 3) encourage face masks, however oppose using N95 masks on the campus; 4) encourage hand hygiene and provide sanitizing products on the campus.
This paper introduces the development and changes of clinical practice guidelines based on the enlightenment of the Reporting Items for Practice Guidelines in Health Care (RIGHT), and provides policy recommendations.
IDEAL framework and recommendations provide a scientific and integrated evaluation pathway for surgical innovations and other complex therapeutic interventions, and underline that the preliminary studies are needed to prepare for a successful randomized controlled trial. IDEAL framework provides a series of recommendations in terms of nature stages of surgical innovation. We have reported the introduction and reporting guidelines of the IDEAL framework and recommendations in our IDEAL series paper. This paper aimed to provide some empirical evidence, focusing specifically on stages 2a and 2b, to help surgeons and researchers to understand how to imply IDEAL framework and recommendations into their clinical practice.
Adherence to reporting guidelines contributes to report methodology and outcomes of research distinctly and transparently. There are some checklists with specific study types related to surgery on the EQUATOR Network’s website. However, the IDEAL framework focuses on stepwise evaluation of surgical innovation through all stages with some key elements, which those existing guidelines may not mention. This likely results in the inaccuracy in reporting in studies attempting to follow the IDEAL recommendations and suggests a pressing need for IDEAL reporting guidelines. Considering these limitations, the IDEAL developed the IDEAL reporting guidelines between October 2018 and May 2019. The paper aimed to provide interpretation of IDEAL reporting guideline, and promote its understanding and use among Chinese researchers.
In the process of formation of recommendations of clinical practice guidelines, experts have many difficult problems of lack of transparency and high subjectivity in making final decisions, such as incomplete comprehensive consideration of dimensions and great heterogeneity in the evaluation of importance between dimensions, etc. As a decision-making tool, multi-criterion decision analysis improves the decision-making level of recommendation by adding the combination of qualitative and quantitative methods. By analyzing the challenges facing the formation of recommendations, this paper introduces the decision assistance of multi-criterion decision, and analyzes and summarizes the advantages and methods of the application of multi-criterion decision, so as to provide reference and guidance for guide makers to solve the difficulties in the formation of recommendations.
Surgical innovation is an important part of surgical research and practice. The evaluation of surgical innovation through the stages is similar to those for drug development, but with important differences. The Idea, Development, Exploration, Assessment, and Long-term follow-up (IDEAL) Framework and Recommendations represent a new paradigm for the evaluation of surgical intervention and devices which was developed in 2009. The IDEAL is a five-stage framework involving the nature stages of surgical innovation, together with recommendations for surgical research pathway. The Framework and Recommendations were updated and published in 2019, which added a pre-IDEAL stage if necessary. The updated IDEAL also underlines the purpose, key question and ethical issues for each stage. In the first paper of IDEAL Framework and Recommendations series, we conducted a comprehensive introduction of IDEAL (e.g. the development, updates and application of IDEAL) to promote the dissemination and application of IDEAL in China.
To introduce the definition, applicable scenarios, methodology and examples of mixed methods systematic reviews, aiming to promote the application of mixed methods in China and to help clinical decision-makers to select appropriate qualitative results from systematic reviews to guide clinical practice.
In order to monitor the emotional state changes of audience on real-time and to adjust the music playlist, we proposed an algorithm framework of an electroencephalogram (EEG) driven personalized affective music recommendation system based on the portable dry electrode shown in this paper. We also further finished a preliminary implementation on the Android platform. We used a two-dimensional emotional model of arousal and valence as the reference, and mapped the EEG data and the corresponding seed songs to the emotional coordinate quadrant in order to establish the matching relationship. Then, Mel frequency cepstrum coefficients were applied to evaluate the similarity between the seed songs and the songs in music library. In the end, during the music playing state, we used the EEG data to identify the audience’s emotional state, and played and adjusted the corresponding song playlist based on the established matching relationship.