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e the primary time of pain, prolong the analgesic duration time, reduce the dosage of analgesics and side events. The evidence levels were low or very low.
Colorectal cancer (CRC) is the second most common cause of cancer-related deaths and has the third highest incidence in the world. Almost half of the patients with CRC have metastases at the time of diagnosis. However, the treatment for patients with metastatic CRC that progresses after approved conventional chemotherapy is still controversial. Chinese medicine (CM) has unique characteristics and advantages in treating metastatic CRC.
To assess the effectiveness and safety of CM in patients with metastatic CRC after failure of conventional chemotherapy.
The study is a multicenter prospective cohort study. A total of 384 patients with documented metastatic CRC after failure of conventional chemotherapy will be included from 9 hospitals among Beijing, Shanghai, Nanjing, and Guizhou, and assigned to three groups according to paitents' wishes (1) integrated Chinese and Western medicine (ICM) group receiving CM herbal treatment combined with Western medicine (WM) anti-tumor therapy, (2) Chinese medicine (CM) CM treatment in metastatic CRC will probably be advised. (Registration No. https://www.selleckchem.com/products/telotristat-etiprate-lx-1606-hippurate.html NCT02923622 on ClinicalTrials.gov).
To preliminarily explore the potential effect of β-glucan on Chinese medicine (CM) concept protective qi deficiency (PQD), and the methodology for future definitive studies.
To have a standardized assessment of PQD, a list of 13 potentially PQD-relevant parameters were firstly created, each with defined quantitative or categorial scales. Using the data from 37 participants with (21 cases) or without (16 cases) PQD, multivariate logistic modeling was conducted to create a preliminary diagnostic PQD risk score. Subsequently, 21 participants diagnosed with PQD were treated with β-glucan in a dose of 200 mg/day for 8 weeks. Data were collected for trial acceptability measures (rate of recruitment, withdrawal, and compliance), and the participants were assessed for PQD status at baseline and every 2 weeks thereafter.
The preliminary logistic model consisted of 3 parameters (low voice and apathy, aversion to wind and cold, and Cun pulse). The resulting risk score demonstrated a degree of PQD-predicting accura like this embody an innovative approach that uses therapies derived from the mainstream biomedicine to enrich therapeutics guided by CM principle. (Trial registration No. NCT03829228).This study demonstrates a low anti-osteoporosis drug treatment rate (22.1% in women, 9.5% in men) after osteoporotic fracture in the real-world setting of Fujian, China. The primary medication was calcitonin. The suboptimal treatment was particularly critical among men, low-level hospitals, wrist/vertebral fracture, and the younger elderly patients.
The objective of this study was to investigate the prescription patterns and related influencing factors of anti-osteoporosis drug prescribing after osteoporotic fracture in Fujian, China, between 2010 and 2016.
This is a retrospective cohort study based on an existing electronic health record database (National Healthcare Big Data in Fuzhou, China, 37 hospitals included). Patients over 50 years old with newly diagnosed osteoporotic fractures between 2010 and 2016 were included. Postfracture osteoporosis therapies were summarized by overall and fracture site. Multivariate logistic regression was performed to identify influencing factors of anti-osteoporosis medtebral fracture, and the younger elderly patients.
In a real-world setting, AOM treatment was suboptimal and the treatment rate even decreased over time among osteoporosis fracture patients in Fujian, China. The suboptimal treatment was particularly critical among men, low-level hospitals, wrist/vertebral fracture, and the younger elderly patients.To accelerate the transformation and application of basic research results, the Chinese government has repeatedly mentioned in a government work report that it is necessary to support research and innovation collaborations between knowledge research institutions and enterprises. However, few studies have focused on the evolution of collaborations between these organizations and the impact of collaborations on innovation performance (IP) in the field of renewable energy under the background of government-funded support (GFS). Based on scientific publications, we construct a GFS collaboration network in the wind power field to investigate the evolution of network structure characteristics, attribute proximity variables, and applied research collaboration (ARC), and we study the impact of network evolution on the IP of actors. The results show that the focal actor of the collaboration network prefers to engage in ARC with partners who are familiar and have the same knowledge base in different provinces. This collaboration tendency will reduce geographical proximity and increase the direct ties, indirect ties, technological proximity, and ARC of the ego network. Among them, direct ties have an inverted U-shaped effect on IP, geographical proximity has a significantly negative impact on IP, and the remaining variables have positive impacts on IP. Taken together, when the direct ties is within a certain range, these collaboration tendencies in a GFS collaboration network positively affect the IP of research institutions and enterprises.The objective of this study is to compare the cost efficiencies of nuclear power and renewable energy generation in reducing CO2 emissions. To achieve this objective, we estimate the relationship between CO2 emissions and both nuclear power and renewable energy generation in 16 major nuclear power-generating countries, and compare the costs of both energy generation methods in reducing CO2 emissions by the same amount. The results show that, to reduce CO2 emissions by 1%, nuclear power and renewable energy generation should be increased by 2.907% and 4.902%, respectively. This implies that if the current amount of electricity generation is one megawatt-hour, the cost of mitigating CO2 emissions by 1% is $3.044 for nuclear power generation and $7.097 for renewable energy generation. That is, the total generation costs are approximately $1.70 billion for the nuclear power and $3.97 billion for renewable energy to mitigate 1% of CO2 emissions at the average amount of electricity generation of 0.56 billion MWh in 2014 in the sample countries.
Read More: https://www.selleckchem.com/products/telotristat-etiprate-lx-1606-hippurate.html
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