Expert Consensus on Clinical Diseases Responding Specifically to Traditional Chinese Medicine：Fibromyalgia Syndrome / 中国实验方剂学杂志

Fibromyalgia syndrome （FMS） is a refractory， chronic non-articular rheumatic disease characterized by widespread pain throughout the body， for which there are no satisfactory therapeutic drugs or options. There are rich Chinese medical therapies， and some non-drug therapies， such as acupuncture， Tai Chi， and Ba-Duan-Jin， have shown satisfactory efficacy and safety and definite advantages of simultaneously adjusting mind and body. FMS is taken as a disease responding specifically to traditional Chinese medicine （TCM） by the National Administration of Traditional Chinese Medicine in 2018. In order to clarify the research progress in FMS and the clinical advantages of TCM/integrated Chinese and Western medicine， the China Academy of Chinese Medicine organized a seminar for nearly 20 experts in Chinese and Western medicine， including rheumatology， psychology， acupuncture and moxibustion， and encephalopathy， with the topic of difficulties in clinical diagnosis and treatment of FMS and advantages of TCM and Western medicine. The recommendations were reached on the difficulties in early diagnosis and solutions of FMS， mitigation of common non-specific symptoms， preferential analgesic therapy， TCM pathogenesis and treatment advantages， and direction of treatment with integrated Chinese and Western medicine. FMS is currently facing the triple dilemma of low early correct diagnosis， poor patient participation， and unsatisfactory benefit from pure Western medicine treatment. To solve the above problems， this paper suggests that rheumatologists should serve as the main diagnostic force of this disease， and they should improve patient participation in treatment decision-making， implement exercise therapy， and fully utilize the holistic and multidimensional features of TCM， which is effective in alleviating pain， improving mood， and decreasing adverse events. In addition， it is suggested that FMS treatment should rely on both TCM and Western medicine and adopt multidisciplinary joint treatment， which is expected to improve the standard of diagnosis and treatment of FMS in China.

Expert Consensus on Clinical Diseases Responding Specifically to Traditional Chinese Medicine： Threatened Abortion / 中国实验方剂学杂志

Threatened abortion is a common disease of obstetrics and gynecology and one of the diseases responding specifically to traditional Chinese medicine （TCM）. The China Association of Chinese Medicine organized experts in TCM obstetrics and gynecology， Western medicine obstetrics and gynecology， and pharmacology to deeply discuss the advantages of TCM and integrated Chinese and Western medicine treatment as well as the medication plans for threatened abortion. After discussion， the experts concluded that chromosome， endocrine， and immune abnormalities were the key factors for the occurrence of threatened abortion， and the Qi and blood disorders in thoroughfare and conception vessels were the core pathogenesis. In the treatment of threatened abortion， TCM has advantages in preventing miscarriages， alleviating clinical symptoms and TCM syndromes， relieving anxiety， regulating reproductive endocrine and immune abnormalities， personalized and diversified treatment， enhancing efficiency and reducing toxicity， and preventing the disease before occurrence. The difficulty in diagnosis and treatment of threatened abortion with traditional Chinese and Western medicine lies in identifying the predictors of abortion caused by maternal factors and the treatment of thrombophilia. Recurrent abortion is the breakthrough point of treatment with integrated traditional Chinese and Western medicine. It is urgent to carry out high-quality evidence-based medicine research in the future to improve the modern diagnosis and treatment of threatened abortion with TCM.

ExpertosLF: dynamic late fusion of CBIR systems using online learning with relevance feedback.

One of the main challenges in CBIR systems is to choose discriminative and compact features, among dozens, to represent the images under comparison. Over the years, a great effort has been made to combine multiple features, mainly using early, late, and hierarchical fusion techniques. Unveiling the perfect combination of features is highly domain-specific and dependent on the type of image. Thus, the process of designing a CBIR system for new datasets or domains involves a huge experimentation overhead, leading to multiple fine-tuned CBIR systems. It would be desirable to dynamically find the best combination of CBIR systems without needing to go through such extensive experimentation and without requiring previous domain knowledge. In this paper, we propose ExpertosLF, a model-agnostic interpretable late fusion technique based on online learning with expert advice, which dynamically combines CBIR systems without knowing a priori which ones are the best for a given domain. At each query, ExpertosLF takes advantage of user's feedback to determine each CBIR contribution in the ensemble for the following queries. ExpertosLF produces an interpretable ensemble that is independent of the dataset and domain. Moreover, ExpertosLF is designed to be modular, and scalable. Experiments on 13 benchmark datasets from the Biomedical, Real, and Sketch domains revealed that: (i) ExpertosLF surpasses the performance of state of the art late-fusion techniques; (ii) it successfully and quickly converges to the performance of the best CBIR sets across domains without any previous domain knowledge (in most cases, fewer than 25 queries need to receive human feedback).

Expert Consensus on Clinical Diseases Responding Specifically to Traditional Chinese Medicine： Sjögren's Syndrome / 中国实验方剂学杂志

Sjögren's syndrome （SS）， a disorder of immune system， is one of the dominant diseases treated by traditional Chinese medicine （TCM）. China Association of Chinese Medicine organized experts in the field of TCM and western medicine rheumatology and pharmacology to discuss the advantages and optimal regimens of TCM for the treatment of SS. The experts generally agreed on the low early diagnosis rate of SS and the lack of targeted therapeutic drugs. In addition， autoimmune abnormality is the key factor in the occurrence of SS and deficiency of both Qi and Yin is the core pathogenesis. SS has unique tongue manifestations， which is expected to allow for the early diagnosis and treatment with integrated traditional Chinese and western medicine. TCM has advantages in treating SS in terms of alleviating clinical symptoms and systemic involvement， individualized treatment， relieving sleep and mood disorders， preventing the occurrence in the early stage， and enhancing the effectiveness and reducing toxicity in the treatment by integrated TCM and western medicine. In general， TCM has advantages in different stages of SS. Internal and external use of TCM， acupuncture， and acupotome are all available options. The optimal regimens should be determined on the basis of pattern identification， stage of disease， and the advantages of TCM. Clinical characteristics and biomarkers of SS should be studied to classify patients， so as to design precision evidence-based TCM regimens for SS. On the basis of unique tongue manifestations of SS， models for early diagnosis and poor prognosis identification of SS should also be established to achieve early prevention and treatment and to improve the prognosis. In the future， we should vigorously carry out high-quality evidence-based medical research on the treatment of SS by TCM and integrated traditional Chinese and western medicine and develop relevant guidelines to optimize and standardize current diagnosis and treatment， thereby laying a basis for clarifying and explaining the advantages of TCM in treating SS.

Expert Consensus on Rheumatic Immune Diseases Responding Specifically to Traditional Chinese Medicine / 中国实验方剂学杂志

In the clinical practice of rheumatic immune diseases in traditional Chinese medicine （TCM），it`s still unclear about the dominant diseases and breakthrough points. It`s urgent missions to formulate TCM diagnosis and treatment guidelines widely recognized and integrated by traditional Chinese medicine and Western medicine. In order to clarify the dominant diseases and breakthrough points in rheumatism，China association of Chinese medicine initiated a research group covering experts in the field of rheumatism of traditional Chinese medicine and Western medicine. Based on questionnaire survey and on-site discussion，experts had reached the following consensus. Evidence-based medicine research using modern medical methods and scientific methods should be carried out to provide objective clinical evidences. "Four mutuality" were put forward as the basis for the work of integrated traditional Chinese and Western medicine，that is the mutual communication using the exchangeable context，the mutual explanation using common theories，the mutual certification using common standards，and the mutual integration using common means. Key works should focus on solving refractory rheumatism in the future. In terms of dominant diseases and breakthrough points，this paper introduces 21 breakthrough points in 6 dominant diseases，including rheumatoid arthritis，ankylosing spondylitis，Sjogren's syndrome，hyperuricemia and gout，systemic lupus erythematosus and fibromyalgia syndrome. Advice on this discussion can provide valuable references for developing the treatment scheme of rheumatism with TCM and integrated Chinese and Western medicine and clinical practice and scientific research.

Expert advice about therapeutic exercise in the management of sacroiliac dysfunction in pregnancy: Secondary analysis of a randomized trial.

OBJECTIVE: To assess primiparous and multiparous women, and singleton and multiple pregnancies in a recently published randomized trial. STUDY DESIGN: Secondary analysis of a randomized clinical trial was performed. In total, 500 women with sacroiliac dysfunction diagnosed in pregnancy were randomized into a study group (who received expert advice about therapeutic exercise) and a control group (who continued with their normal lifestyle habits). The outcome measures assessed were: pain intensity [visual analogue scale (VAS)] and degree of functional disability (Quebec scale) at enrolment and after 3 and 6 weeks. Primiparous and multiparous women, and singleton and multiple pregnancies in the study and control groups were analysed separately. RESULTS: Sacroiliac dysfunction was more common in primiparous women compared with multiparous women (84.70% vs 77.16%), and in multiple pregnancies compared with singleton pregnancies (86.53% vs 80.07%). For all four subgroups analysed in this secondary analysis, the reduction in pain intensity (p = 0.001) and the degree of functional disability (p = 0.001) were better in the study group compared with the control group. Better results for the two outcome measures were found when comparing primiparous and multiparous women in the study group at follow-up, but the difference in functional disability disappeared 6 weeks after enrolment (p = 0.383). There was no difference in the two outcome measures between singleton and multiple pregnancies 3 and 6 weeks after enrolment (p = 0.061, p = 0.489 and p = 0.741, p = 0.353, respectively). CONCLUSION: Expert advice about therapeutic exercise is effective for the reduction of symptoms of sacroiliac dysfunction in all four subgroups (primiparous and multiparous women, singleton and multiple pregnancies). Earlier reduction of pain intensity and degree of functional disability were obtained in primiparous women compared with multiparous women in the study group.

Implementation of a referral and expert advice call Center for Maternal and Newborn Care in the resource constrained health system context of the Greater Accra region of Ghana.

BACKGROUND: Referral and clinical decision-making support are important for reducing delays in reaching and receiving appropriate and quality care. This paper presents analysis of the use of a pilot referral and decision making support call center for mothers and newborns in the Greater Accra region of Ghana, and challenges encountered in implementing such an intervention. METHODS: We analyzed longitudinal time series data from routine records of the call center over the first 33 months of its operation in Excel. RESULTS: During the first seventeen months of operation, the Information Communication Technology (ICT) platform was provided by the private telecommunication network MTN. The focus of the referral system was on maternal and newborn care. In this first phase, a total of 372 calls were handled by the center. 93% of the calls were requests for referral assistance (87% obstetric and 6% neonatal). The most frequent clinical reasons for maternal referral were prolonged labor (25%), hypertensive diseases in pregnancy (17%) and post-partum hemorrhage (7%). Birth asphyxia (58%) was the most common reason for neonatal referral. Inadequate bed space in referral facilities resulted in only 81% of referrals securing beds. The national ambulance service was able to handle only 61% of the requests for assistance with transportation because of its resource challenges. Resources could only be mobilized for the recurrent cost of running the center for 12 h (8.00 pm - 8.00 am) daily. During the second phase of the intervention we switched the use of the ICT platform to a free government platform operated by the National Security. In the next sixteen-month period when the focus was expanded to include all clinical cases, 390 calls were received with 51% being for medical emergency referrals and 30% for obstetrics and gynaecology emergencies. Request for bed space was honoured in 69% of cases. CONCLUSIONS: The call center is a potentially useful and viable M-Health intervention to support referral and clinical decision making in the LMIC context of this study. However, health systems challenges such inadequacy of human resources, unavailability of referral beds, poor health infrastructure, lack of recurrent financing and emergency transportation need to be addressed for optimal functioning.

Implementing social distancing policy measures in the battle against the coronavirus: protocol of a comparative study of Denmark and Sweden.

BACKGROUND: Social distancing policies to ensure physical distance between people have become a crucial strategy in the battle against the spread of the coronavirus. The aim of this project is to analyze and compare social distancing policies implemented in Denmark and Sweden in 2020. Despite many similarities between the two countries, their response to the coronavirus pandemic differed markedly. Whereas authorities in Denmark initiated mandatory regulations and many severe restrictions, Swedish authorities predominantly promoted voluntary recommendations. METHODS: The project is an interdisciplinary collaboration between researchers in Denmark and Sweden with different disciplinary backgrounds. The project is based on a comparative analysis, an approach that attempts to reach conclusions beyond single cases and to explain differences and similarities between objects of analysis and relations between objects against the backdrop of their contextual conditions. Data will be gathered by means of document analysis, qualitative interviews, and a questionnaire survey to address three research questions: (1) What social distancing policies regarding the coronavirus have been formulated and implemented, who are the policymakers behind the policy measures, which implementers are expected to implement the measures, and who are the targets that the measures ultimately seek to influence? (2) How have the social distancing policies and policy measures been justified, and what types of knowledge form the basis for the measures? and (3) What are the differences and similarities in citizens' perceptions of acceptability and compliance with social distancing policy measures in relation to the coronavirus? DISCUSSION: To create a structure for addressing the three research questions, the project applies a theoretical framework informed by the policy and implementation science literatures. The framework consists of five interdependent domains that have an impact on policy implementation: (1) policymakers, (2) policy characteristics, (3) implementers, (4) targets, and (5) policy environment. Details of the framework are provided in the article.

Expert advice about therapeutic exercise during pregnancy reduces the symptoms of sacroiliac dysfunction.

Objectives There are growing evidence that exercise improves sacroiliac dysfunction symptoms in pregnant women; but no data about the effect of expert advice regarding this matter. The aim of this study was to assess the effectiveness of expert advice about therapeutic exercise on sacroiliac dysfunction in pregnancy. Methods A total of 500 women with sacroiliac dysfunction diagnosed in pregnancy were randomized in study and control group. Study group has conducted expert advice on therapeutic exercise; while control group continued with their normal lifestyle. Pain intensity by Visual Analog Scale (VAS) and degree of functional disability by Quebec scale were assessed at enrolment and after 3 and 6 weeks. Results Significantly better reduction in pain intensity assessed by VAS (p=0.001) and degree of functional disability assessed by Quebec scale (p=0.001) was noted in study compared to control group. Better results for both outcome measures were obtained if intervention was implemented earlier i.e., in second (p=0.001; p=0.001) compared to third (p=0.005; p=0.001) trimester. Strong positive correlation was found between pain intensity and degree of functional disability in both groups. Conclusions Expert advice on therapeutic exercise is effective in reduction of sacroiliac dysfunction symptoms during pregnancy. Trial registration ACTRN12617000556347.

Online learning with an almost perfect expert.

We study multiclass online learning, where a forecaster predicts a sequence of elements drawn from a finite set using the advice of n experts. Our main contributions are to analyze the scenario where the best expert makes a bounded number b of mistakes and to show that, in the low-error regime where [Formula: see text], the expected number of mistakes made by the optimal forecaster is at most [Formula: see text] We also describe an adversary strategy showing that this bound is tight and that the worst case is attained for binary prediction.

An fMRI and effective connectivity study investigating miss errors during advice utilization from human and machine agents.

As society becomes more reliant on machines and automation, understanding how people utilize advice is a necessary endeavor. Our objective was to reveal the underlying neural associations during advice utilization from expert human and machine agents with fMRI and multivariate Granger causality analysis. During an X-ray luggage-screening task, participants accepted or rejected good or bad advice from either the human or machine agent framed as experts with manipulated reliability (high miss rate). We showed that the machine-agent group decreased their advice utilization compared to the human-agent group and these differences in behaviors during advice utilization could be accounted for by high expectations of reliable advice and changes in attention allocation due to miss errors. Brain areas involved with the salience and mentalizing networks, as well as sensory processing involved with attention, were recruited during the task and the advice utilization network consisted of attentional modulation of sensory information with the lingual gyrus as the driver during the decision phase and the fusiform gyrus as the driver during the feedback phase. Our findings expand on the existing literature by showing that misses degrade advice utilization, which is represented in a neural network involving salience detection and self-processing with perceptual integration.

Advice Taking from Humans and Machines: An fMRI and Effective Connectivity Study.

With new technological advances, advice can come from different sources such as machines or humans, but how individuals respond to such advice and the neural correlates involved need to be better understood. We combined functional MRI and multivariate Granger causality analysis with an X-ray luggage-screening task to investigate the neural basis and corresponding effective connectivity involved with advice utilization from agents framed as experts. Participants were asked to accept or reject good or bad advice from a human or machine agent with low reliability (high false alarm rate). We showed that unreliable advice decreased performance overall and participants interacting with the human agent had a greater depreciation of advice utilization during bad advice compared to the machine agent. These differences in advice utilization can be perceivably due to reevaluation of expectations arising from association of dispositional credibility for each agent. We demonstrated that differences in advice utilization engaged brain regions that may be associated with evaluation of personal characteristics and traits (precuneus, posterior cingulate cortex, temporoparietal junction) and interoception (posterior insula). We found that the right posterior insula and left precuneus were the drivers of the advice utilization network that were reciprocally connected to each other and also projected to all other regions. Our behavioral and neuroimaging results have significant implications for society because of progressions in technology and increased interactions with machines.

Evidence-based policy? The re-medicalization of cannabis and the role of expert committees in the UK, 1972-1982.

BACKGROUND: Cannabis was introduced to the UK as a medical product in the nineteenth century. However, with questions over its safety, efficacy, and possible harms its medical role diminished and by the 1950s it was viewed as a drug of misuse. Nonetheless, scientific and lay knowledge around cannabis expanded from the 1960s and cannabis re-appeared in different therapeutic forms. In re-medicalizing cannabis, science-policy transfer proved important and was enabled by the developing mechanism of expert committees, most notably the Advisory Council on the Misuse of Drugs (ACMD). METHODS: This article draws upon previously unknown archival material on the ACMD held at the National Archives and covers the period 1972-1982. It considers how expert groups were established, their membership, and the evolving discussion over therapeutic cannabis within the broader drug policy debate. RESULTS: Three distinct periods emerged: 1972-1976 with the creation of the Working Group on Cannabis; 1977-1979 when the Working Group focused on potential amendments to the Misuse of Drugs Act and recommended downgrading cannabis from Class B to Class C; 1980-1982 when the Expert Group on the Effects of Cannabis recommended downgrading cannabis and encouraged research into cannabis as a medicine. Sources reveal that driven by drug control imperatives the ACMD stimulated research on cannabis leading to increased research on medical applications. CONCLUSION: Expert advice was critical in the process of re-medicalization. Initially, discourse occurred in the closed expert committees of the ACMD. The drug problem had been framed under the criminal justice system but as the limitations of this were revealed, and there was continuing uncertainty over cannabis' impact, new approaches to cannabis were sought. It was this combination of more relaxed attitudes towards cannabis, research incentives, as well as a developing desire to draw medical needs away from discussion of drug control that was to allow re-medicalization to develop.