ObjectiveTo conduct a scoping review of studies on the application of knowledge mapping in the field of rare diseases at home and abroad, in order to clarify the content and status of application and provide references for future research in this field. MethodsRelevant studies in PubMed, Web of Science, Embase, MEDLINE, CNKI, WanFang Data, VIP, and CBM databases were searched, using the Joanna Briggs Institute Scoping Review Guidelines in Australia as the methodological framework, and the search time frame was from the establishment of the database to June 1, 2023. ResultsTwenty-five papers were included, and the main applications of knowledge graphs in the field of rare diseases were knowledge management, assisted diagnosis, drug repositioning and decision support, involving techniques such as knowledge representation, knowledge extraction, knowledge reasoning, knowledge fusion and knowledge storage.ConclusionKnowledge graphs have shown positive results in fusing and exploiting multi-source information, aiding disease prediction and diagnosis and drug development, but further technical improvements are needed.
ObjectiveTo interpret the intervention description and reporting standards (TIDieR), and further present the domestic and international application status of TIDieR based on knowledge graphs. And to provide references and inspirations for standardized reporting of intervention studies. MethodsTIDieR-related literature published in Chinese and English databases such as CNKI, WanFang Data, PubMed, and Web of Science was searched from 2014 to 2024, and visual analysis was conducted using CiteSpace6.3.R1 bibliometric software. ResultsTIDieR consisted of 12 entries, including abbreviated intervention name, implementation rationale, implementation materials, implementation process, implementer, implementation method, implementation site, implementation time and intensity, personalized plan, plan changes, expected effects, and actual effects. The bibliometric analysis included 94 English-language papers and 5 Chinese-language papers. The application of TIDieR was relatively widespread overseas, mainly involving health care, rehabilitation, and digital health fields. ConclusionTIDieR can ensure the standardization and reproducibility of intervention research reports. However, domestic scholars still apply TIDieR less frequently. It is necessary to gradually promote and strengthen the application of TIDieR in future intervention studies, thereby improving the transparency and quality of intervention research reports.
Objective
To investigate the current status of self-management knowledge, attitude and behavior and influencing factors in patients with chronic obstructive pulmonary disease (COPD) in Qianbei area, and to analyze the influencing factors.
Methods
A total of 329 COPD patients were recruited and investigated with self-compiled questionnaire for self-management knowledge, attitude and behavior of chronic obstructive pulmonary disease, and SPSS 17.0 software was used to analyze the data.
Results
The mean score of self-management knowledge, attitude and behavior in COPD patients was 132.6±17.0, in which the scores of each dimension from high to low were as follows: smoking, medication treatment, exercise and family oxygen therapy. The analysis of stepwise regression indicated that the main influencing factors of self-management of COPD patients were age, sex, address, degree of education, course of disease and smoking.
Conclusions
The self-management level of the disease recognition, attitude and behavior in COPD patients should be improved, in which the knowledge is key factor to promote the health behavior of patients. So the healthy workers should pay close attention to the influence factors and apply the new thinking pattern and methods to improve the self-management ability and the quality of life of patients.
To address the issue of a large number of network parameters and substantial floating-point operations in deep learning networks applied to image segmentation for cardiac magnetic resonance imaging (MRI), this paper proposes a lightweight dilated parallel convolution U-Net (DPU-Net) to decrease the quantity of network parameters and the number of floating-point operations. Additionally, a multi-scale adaptation vector knowledge distillation (MAVKD) training strategy is employed to extract latent knowledge from the teacher network, thereby enhancing the segmentation accuracy of DPU-Net. The proposed network adopts a distinctive way of convolutional channel variation to reduce the number of parameters and combines with residual blocks and dilated convolutions to alleviate the gradient explosion problem and spatial information loss that might be caused by the reduction of parameters. The research findings indicate that this network has achieved considerable improvements in reducing the number of parameters and enhancing the efficiency of floating-point operations. When applying this network to the public dataset of the automatic cardiac diagnosis challenge (ACDC), the dice coefficient reaches 91.26%. The research results validate the effectiveness of the proposed lightweight network and knowledge distillation strategy, providing a reliable lightweighting idea for deep learning in the field of medical image segmentation.
ObjectiveTo analyze the hotspots and frontiers of oral lichen planus research by bibliometric methods.MethodsWe searched Web of Science Core Collection database to obtain studies on oral lichen planus from inception to January 1st, 2020. After data extraction, Excel 2016 and CiteSpace software were used to carry out descriptive and visual analysis.ResultsA total of 3 105 articles and reviews were included, and the annual publication volume showed a steady growth trend. The research hotspot terms of oral lichen planus were cancer, lesion, and management of the disease. Moreover, pathogenesis, potentially malignant disorder, classification, and diagnosis were defined as novel research frontiers.ConclusionsThrough the bibliometric method, the research hotspots and frontiers of oral lichen planus are displayed intuitively, which provides references for future research.
Rare diseases have problems with low number of cases, low social awareness, and long time of diagnosis. “Targeted doctor” is the first step to help rare disease patients start the correct path of diagnosis and treatment. This article introduces the design of a decision-making engine for patients with rare diseases by constructing a knowledge graph of rare diseases and experts, using an intelligent question-and-answer system, and combining big data and artificial intelligence methods. This engine can perform rare disease pre-screening based on patient portraits and other information, and recommend the best visiting route to patients, thereby improving the efficiency of rare disease patients’ medical service system and enhancing the decision-making ability of rare diseases.
In combination with the national health informatization construction in UK during the past ten years, this article introduced the resource construction of decision making knowledge library like British Electronic Medicine Library Clinical Pathway Database and NHS Evidence, as well as the function and application of clinical decision support system (CDSS) like PRODIGY, medical knowledge map and so on, discussed the development characteristics and construction experiences of British health decision support system (HDSS). And aiming directly at Chinese specific circumstances, this article offered some suggestions on promoting China HDSS development, for instance, dynamically integrating CDSS with patients’ diagnosis and treatment procedure through the electronic medical record system, strengthening the resources construction of knowledge library, establishing localized clinical pathway, and so on.
Objectives To evaluate pulmonary physicians’knowledge level about prevention and treatment of chronic obstructive pulmonary disease( COPD) in some urban areas in China. Methods A total of 258 pulmonary physicians were interviewed face-to-face in 24 hospitals from July to October in 2006. The questionnaire included the knowledge of COPD, prescriptions at initial visit and follow-up, pulmonary function test monitoring, assessment and intervention in stable COPD, knowledge and evaluation of the commonly used medicines, the effects of smoking cessation and adopted measures, as well as the knowledge of treatment prospects and patients’ education. Results Eighty-eight percent of pulmonary physicians considered themselves knowledgeable on COPD, and 95% were familiar with the severity classification. Most of them knew about GOLD and Chinese Guideline of Prevention and Treatment to COPD, and paid attention to chest X-ray and pulmonary function test during diagnosis. The standards in evaluation of stable COPD patients were not well understood, and 92% of physicians claimed for pulmonary function test in stable stage. Seventy-nine percent of physicians actively suggested the patients quit smoking. The prescription for COPD patients at iniative and maintenance therapy met the guideline on the whole, but the mucolytic agents were appreciated too much and used too frequently. Thirty-three percent of physicians took it necessary to treat stable COPD,and 69% believed that pharmacotherapy for stable COPD could rersult in satisfactory quality of life.Conclusions In some big cities in China, the pulmonary physicians have good knowledge about COPD. But long-term prevention and intervention, especially in pharmacotherapy, are still unsatisfactory.
ObjectiveTo investigate the knowledge of hypoglycemia in patients with type 2 diabetes mellitus, analyze its influential factors, and explore the measure of hypoglycemia education.
MethodsA questionnaire survey was conducted with a sample of 5 961 patients with type 2 diabetes mellitus from 144 hospitals in China between April and July 2010. The investigation contents included patients' demographic data and the knowledge of hypoglycemia.
ResultsThe score of the knowledge of hypoglycemia was 62.71±10.34 and the status was medium. Multiple stepwise regression analysis showed that degree of education, duration of diabetes mellitus, periodic inspection, education about diabetic complications, times of hypoglycemia were influencing factors for the knowledge of hypoglycemia (P<0.05).
ConclusionThe status of the knowledge of hypoglycemia is not optimistic. Educators should pay attention to the characteristics of patients and provide a safe regiment for controlling blood sugar with a comprehensive introduction of hypoglycemia.
Objective To evaluate the control status and knowledge level about disease in asthmatic patients in hospitals of different grades in Gansu province, and provide a basis for proposing a work plan forprevention and treatment of asthma in Gansu province.Methods We performed a questionnaire investigation in a face-to-face manner in asthmatic patients from hospitals of three different grades, which included a grade 3A hospital, a grade 3B hospital, and a grade 2A hospital.Results A total of 542 asthmatic patients were investigated. The percentage of complete controlled, well controlled and uncontrolled were 3. 5% , 16. 9% and 79. 5% respectively. The rate of complete controlled was low in three hospitals without significant difference ( 3. 6% , 3. 4% , and 3. 3% , respectively) . The rate of well controlled in the grade 3A and 3B hospitals was higher than that in the grade 2A hospital ( 20. 4% and 18. 3% vs. 8. 2% ,P lt;0. 05) . 41. 4% of the respondents had been hospitalized for exacerbation in the past one year, and the rate was higher in the grade 2A hospital than that in the grade 3A and 3B hospitals ( 58. 2% vs. 31. 8% and 42. 9%, P lt;0. 01) . 46. 9% of the patients had visited the emergency department, and the rate was higher in the grade 2A hospital than that in the grade 3A and 3B hospitals ( 63. 9% vs. 41. 6% and 42. 3% , P lt;0. 01) . 23. 6% of the respondents had underwent lung function test follow-up during the past one year, andthe rate in the grade 3A hospital was higher than that in the grade 3B and 2A hospitals( 79. 2% vs. 44% and 40. 2%, P lt;0. 01) . Only 2. 8% of the patients in the grade 3A hospital had used peak flowmeter regularly.There were 19. 7% of the patients received a long-term treatment plan by specialists, and the rate in the grade 3A and 3B hospitals was higher than that in the grade 2A hospital ( 22. 4% and 21. 7% vs. 11. 5% ,P lt;0. 05) . 30. 6% of the respondents insisted on using inhaled corticosteroid ( ICS) or combination of ICS and long acting β2 -agonist ( ICS/LABA) , and the rate was higher in the grade 3A and 3B hospitals than that in the grade 2A hospital ( 33. 9% and 32. 6% vs. 21. 3% , P lt;0. 05) . 27. 7% of the patients had used the theophylline drugs regularly, and there were no significant differences in three hospitals. 30. 3% of the patients did not used the drugs regularly, and most of these patients were from the grade 2A and 3B hospitals ( 54. 1% and 32. 9% respectively) . 11. 4% of the patients has used antibiotics, herbal medicine or other drugs. And most of these patients were from the grade 2A and 3B hospitals ( 50% and 30. 6% respectively) . 26. 2% of the patients believed that asthma is an inflammatory disease. 51. 3% of the patients selected ICS ( or ICS/LABA) as the first line medicine, and the rate in the grade 3A hospital was higher than that in the grade 3B and 2A hospitals ( P lt;0. 05) . Only13. 1% -14. 7% of the patients attended the lecture about asthma in hospitals in the past one year, and the rate in the grade 3A hospital was thehighest, but the difference was not significant. Conclusions The lack of the awareness, the poor control, and the non-standardized treatment and management of the disease are the main obstacles in the control of asthma in Gansu province, especially in township hospitals.
