Subjects: Medicine, Pharmacy >> Clinical Medicine submitted time 2022-12-20 Cooperative journals: 《中国全科医学》
Abstract：
Background In recent years, artificial intelligence (AI) has shown rapid development in the medical field, and its application in diabetic retinopathy (DR) has been expanding. Objective To summarize the application of AI in DR through bibliometric analysis and elucidate the current status, hot spots and emerging trends of AI-related research in DR, with a view to providing ideas for future research. Methods Using the Web of Science database as the source, we searched the literature related to AI applications in DR from the database build to 2022-11-04 and used CiteSpace software to visualize and analyze the number of articles, countries, institutions, authors, co-citation and keywords in the literature. Results A total of 1770 papers were obtained, with an overall increasing trend in the number of publications and a peak of 402 papers in 2021. China was the top country in terms of the number of publications (440), and the UK was the country with the highest intermediary centrality (0.26). A total of 436 institutions were included in the institutional collaboration network mapping, represented by Sun Yat-sen University and Capital Medical University. A total of 601 authors were included in the author collaboration network mapping, represented by JIA Y and THOMAS H. Three highly cited authors, GULSHAN V, ABRAMOFF M and TING D, have made important contributions to the field. OPHTHALMOLOGY, INVEST OPHTH VIS SCI and IEEE T MED IMAGING are the three most influential journals in the field of AI applied to DR. The research hot spots were mainly focused on lesion segmentation and DR diagnosis. The future research trends may be efficacy prediction of diabetic macular edema as a complication of DR, disease management and improvement of AI algorithm performance. Conclusion Researchers can refer to the research hot spots and trends shown by this visual analysis, focusing on AI in DR diagnosis, disease management and improvement of AI algorithm performance.
Subjects: Medicine, Pharmacy >> Clinical Medicine submitted time 2022-08-01 Cooperative journals: 《中国全科医学》
Abstract： Background The prevalence of comorbiditiy in the elderly is showing a gradual upward trend with the acceleration of population aging.Comorbidity is a key risk factor for frailty.Then frailty will not only increase the risk of adverse health outcomes for patients, but also exert a heavy economic burden on patients' families.It has a certain guiding value for the management of chronic diseases to identify the frailty conditions of elderly patients with comorbidity as early as possible.Objective To systematically evaluate the prevalence of frailty in elderly patients with comorbidity.Methods We searched studies regarding frailty in elderly patients with comorbidity published from inception to December 4,2021,and CNKI、VIP、CBM、WanFang、Pubmed、Embase、Web of Science and The Cochrane Library of the databases were included.Data extraction and quality evaluation of the included studies were performed.Stata 14.0 was used for statistical analysis.Results A total of 25 studies involving 16062 subjects were included.Meta-analysis showed that the prevalence of frailty and pre-frailty in elderly patients with comorbidity was 27%[95%CI(22%,32%)] and 48%[95%CI(44%,51%)].Subgroup analysis showed that the prevalence of 2,3 and 4 chronic diseases was 25%[95%CI(19%,31%)],27%[95%CI(14%,41%)],and 42%[95%CI(-2%,87%)].Oceania(52%) and Asia(31%) had higher overall prevalence of frailty in elderly patients with comorbidity than Europe(17%) and South America(13%).Hospital had higher overall prevalence of frailty in elderly patients with comorbidity than community(26% vs 23%).The prevalence of frailty in elderly patients with comorbidity was screened 43%[95%CI(38%,47%)] by Clinical Frailty Scale,22%[95%CI(18%,27%)] by FRAIL,and 8%[95%CI(6%,11%)] by Fried.The prevalence for patients surveyed between 2001-2010,2011-2015,and 2016-2020 was 21%[95%CI(13%,29%)],19%[95%CI(13%,25%)] and 38%[95%CI(23%,53%)],respectively.Conclusion The prevalence of of frailty in elderly patients with comorbidity is increasing year by year,with differences by number of chronic diseases,continents,assessment tools and study sites.Therefore,relevant personnel should pay attention to early screening of frailty in elderly patients with comorbidity and provide targeted preventive measures for them.
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