Objectives To analyze the effect of improved oven for defluorination in coal-burning endemic fluorosis areas in China, and to provide evidence for the prevention and control of fluorosis. Methods Electronic databases including CNKI, CBM, VIP and CDMD-D (1989 to 2005), were searched. We also checked the reference lists of relevant articles. We selected relevant articles according to the predefined inclusion and exclusion criteria. The methodological quality was assessed . Data on room heat preservation and the effect of improved oven for defluorination were collected in the surveillance spots of Three Gorges Reservoir. Correlation analyses were conducted between the improved oven and its effect parameters. Results Twelve articles of low quality met the selection criteria, of which 9 were graded C and 3 were graded D in terms of the methodological quality. A negative correlation was found between the decreasing rate of normal oven use and the decreasing rate of dental fluorosis as well as of urine fluorine (Pearson correlation coefficient r = – 0.87, – 0.63, Plt;0.01, lt;0.05, respectively). Analysis also revealed a positive correlation between room heat preservation and the decreasing rate of dental fluorosis as well as of normal oven use (the two Spearman correlation coefficients and P values were the same: r = –1.00, Plt;0.01). Conclusion High-quality studies on the effect of improved oven for defluorination in China are not available. Based on the current evidence, the improved oven for defluorination and the correct use, maintenance and house rebuilding for heat preservation may help to prevent fluorosis.
Objective We searched the Cochrane Library（Issue 3, 2005 ）to identity evidence related to palliative treatment. We found that Opioids are effective for the palliation of breathlessness in terminal illness. Oral Morphine and hydromorphone is effective for cancer pain. Radiotherapy and Bisphosphonates can relief pain secondary to bone metastases. Corticosteroids can resolve malignant bowel obstruction in advanced gynaecological and gastrointestinal cancer.
Evidence-based research in traditional Chinese medicine (TCM) has made many important achievements and promoted the modernization and internationalization of TCM. The ability to produce research evidence to guide clinical practice in an emergency treatment situation is a major test of the development of evidence-based Chinese medicine (EBCM) when emerging infectious diseases outbreaks. Along with the development of EBCM, TCM has experienced emerging infectious disease events such as atypical pneumonia (SARS), influenza A (HIN1), and corona virus disease 2019 (COVID-19), and the ability of TCM to conduct clinical research in emergency treatment work has been continuously improved. This article provides an overview of the clinical research conducted in TCM to resist emerging infectious diseases in the past, focusing on the clinical research results obtained in the present time of COVID-19 rescue and treatment, and discusses the role of EBCM development to enhance the clinical research capacity of TCM in emerging infectious diseases.
Evidence-based medicine emphasizes that treatment must be based on the following elements ： the latest and best evidence, clinicians＇ expertise and patients＇ preference. Evidence-based medicine embodies the ethos both to explore medical science and to respect patients＇ values. Evidence-based medicine is an integration of the scientific and the humanistic spirit.
Objective To investigate the current status of randomized controlled trials (RCTs) and clinical controlled trials (CCTs) on pressure sore in China. Methods We searched Chinese Journal of Nursing, Chinese Journal of Practical Nursing and Journal of Nurses Training in CNKI and VIP (January 2000 to December 2005) for Chinese articles on pressure sore, using "pressure sore", "bed sore", "nursing", "treatment", "prevention", "evaluation" and "management" as search terms. The retrieved articles were summarized. Results We identified 16 reports (10 RCTs and 6 CCTs). The studies were judged to be of low quality.There was one study on the evaluation, two on the prevention, and 13 on the treatment of pressure sores. Conclusion The current studies on pressure sore in China are focusing on treatment. Randomized controlled trials of large sample size of pressure sore are needed to improve nursing quality.
ObjectiveTo realize automatic risk bias assessment for the randomized controlled trial (RCT) literature using BERT (Bidirectional Encoder Representations from Transformers) as an approach for feature representation and text classification.MethodsWe first searched The Cochrane Library to obtain risk bias assessment data and detailed information on RCTs, and constructed data sets for text classification. We assigned 80% of the data set as the training set, 10% as the test set, and 10% as the validation set. Then, we used BERT to extract features, construct text classification model, and evaluate the seven types of risk bias values (high and low). The results were compared with those from traditional machine learning methods using a combination of n-gram and TF-IDF as well as the Linear SVM classifier. The accuracy rate (P value), recall rate (R value) and F1 value were used to evaluate the performance of the models.ResultsOur BERT-based model achieved F1 values of 78.5% to 95.2% for the seven types of risk bias assessment tasks, which was 14.7% higher than the traditional machine learning method. F1 values of 85.7% to 92.8% were obtained in the extraction task of the other six types of biased descriptors except "other sources of bias", which was 18.2% higher than the traditional machine learning method.ConclusionsThe BERT-based automatic risk bias assessment model can realize higher accuracy in risk of bias assessment for RCT literature, and improve the efficiency of assessment.
We summarized and analyzed the researches of the workshop on Evidence-Based Medicine for Medical Editors which was recently held concerning its teachers, training method, trainee distribution and recent progress. We hope to provide a new approach to improving the level of medical editors and clinical trials.