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1Relationship between the exocrine and endocrine pancreas after acute pancreatitis显示文摘AIM:To determine the prevalence and time course of pancreatic exocrine insufficiency in individuals with newly diagnosed prediabetes or diabetes mellitus after acute pancreatitis.METHODS:Relevant literature cited in three major biomedical journal databases(EMBASE,MEDLINE,and Scopus)was reviewed independently by two authors.There were no language constraints but the search was limited to human studies.Studies included were cohort studies of adult patients who were discharged after an attack of acute pancreatitis.Patients were excluded if they were under 18 years of age or had a previous diagnosis of prediabetes or diabetes mellitus,pancreatic exocrine insufficiency,or chronic pancreatitis.The main outcome measure was the prevalence of concomitant pancreatic exocrine insufficiency in patients who were diagnosed with prediabetes and diabetes mellitus after an attack of acute pancreatitis.Subgroup analysis was conducted for patients who were diagnosed with prediabetes only and those who were diagnosed withdiabetes mellitus only.Subgroup analysis looking at the time course of concomitant pancreatic exocrine and endocrine insufficiency was also conducted.Pooled prevalence and corresponding 95%confidence intervals were calculated for all outcome measures and P-values<0.05 were deemed statistically significant.RESULTS:Eight clinical studies comprising of 234patients met all eligibility criteria.The pooled prevalence of newly diagnosed prediabetes or diabetes in individuals after acute pancreatitis was 43%(95%CI:30%-56%).The pooled prevalence of pancreatic exocrine insufficiency in individuals after acute pancreatitis was 29%(95%CI:19%-39%).The prevalence of concomitant pancreatic exocrine insufficiency in individuals with newly diagnosed prediabetes or diabetes was 40%(95%CI:25%-55%).The prevalence of concomitant pancreatic exocrine insufficiency among individuals with prediabetes alone and diabetes mellitus alone was 41%(95%CI:12%-75%)and 39%(95%CI:28%-51%),respectively.Further analysis showed that the prevalence of concomitant pancreatic exocrine insufficiency in individuals with prediabetes or diabetes decreases over time after an attack of acute pancreatitis.CONCLUSION:Pancreatic exocrine insufficiency occurs in 40%of individuals with newly diagnosed prediabetes or diabetes mellitus after acute pancreatitis.Further studies are needed to investigate the pathogenesis of diabetes in this setting.Stephanie L M Das James I C Kennedy Rinki Murphy Anthony R J Phillips John A Windsor Maxim S Petrov 2014World Journal of Gastroenterology2014,20,45:9
2基因对于儿童肥胖的影响在小于胎龄儿童中或不重要显示文摘小于胎龄儿在日后的生活中面临着更高的患肥胖症和代谢性疾病的风险,目前认为这种风险主要与小于胎龄儿出生后生长加速有关。研究人员对奥克兰出生体重协作研究项目中的小于胎龄儿和适于胎龄儿做了研究,测量并计算这些儿童的BMI-Z评分,研究与成人肥胖相关的常见基因变异是否会与小于胎龄儿出生后生长加速有关。研究者将547名欧洲儿童(228名小于胎龄儿和319名适于胎龄儿)进行基因分型,他们被分为共计37个单核苷酸多态性(SNPs)候选基因。重复测量儿童的BMI,并以Z评分法评估肥胖程度。Dug Yeo Han Rinki Murphy Angharad R Morgan 郭婧 张帆 2013营养健康新观察2013,0,1:2
3The long-term retention of pregabalin in a large cohort of patients with epilepsy at a tertiary referral centre显示文摘Alan W.C. Yuen Rinki Singh Gail S. Bell Anupam Bhattacharjee Aidan Neligan Dominic C. Heaney John S. Duncan Josemir W. Sander 2009Epilepsy Research2009,,2:1
4Use of an inactivated varicella vaccine in recipients of hematopoietic-cell transplants显示文摘Hata A Asanuma H Rinki M 2002N Engl J Med2002,347,:1
5A common polymor- phism in the SC N1A gene associates with phenytoin serum levels at maintenance dose显示文摘Sarah KT Rinki S Chin-Chuan H 2006Pharmacogenetics and Genom- ics2006,16,:1
6显示文摘Kumari Rinki Dutta PK 2010Journal of Maeromoleeular Sci- ence Part A: Pure and Applied Chemistry2010,47,5:1
7Antimutagenic and antibacterial activities of Peltophorum ferrugineum flower extracts显示文摘Rinki Dandapat Bhabani Sankar Jena Pradeep Singh Negi 2012Asian Pacific Journal of Tropical Disease2012,,:1
8A common polymorphism in the SCN1A gene associates with phenytoin serum levels at maintenance dose显示文摘Sarah K. Tate Rinki Singh Chin-Chuan Hung John Jen Tai Chantal Depondt Gianpiero L. Cavalleri Sanjay M. Sisodiya David B. Goldstein Horng-Huei Liou 2006Pharmacogenetics and Genomics2006,,10:1
9Physicocbemical and biological activity study of genipin-crosslinked chitosan scaffolds prepared by using supercritical carbon dioxide for tissue engineering applications显示文摘Rinki Kumari Durra P K 2010International Journal of Biological Macromolecules2010,46,:1
10Genetic Studies of Age-related Macular Degeneration显示文摘Rinki Ratna Priya Emily Y. Chew Anand Swaroop 2012Ophthalmology2012,,12:1
11Safety evaluation of a polyherbal formulation containing hydroalcoholic extracts of Hippophae salicifolia, Nyctanthes arbor-tristis, Ocimum tenuiflorum, and Reinwardtia indica in rodents显示文摘Dear Editor,Herbal medicines have been used for prevention and treatment of human diseases and promotion of healthy living.These medicines,often self medicated and consumed as concentrated extracts,are not strictly regulated.Considering their popular use and increasing safety concerns,thorough evaluations of their efficacy and safety are warranted to protect consumersRinki Kumari Aruna Agrawal G.P.Dubey K.Ilango Praveen K Singh G.P.I.Singh 2016The Journal of Biomedical Research2016,30,3:0
12Technology Landscape for Epidemiological Prediction and Diagnosis of COVID-19显示文摘The COVID-19 outbreak initiated from the Chinese city of Wuhanand eventually affected almost every nation around the globe. From China,the disease started spreading to the rest of the world. After China, Italybecame the next epicentre of the virus and witnessed a very high death toll.Soon nations like the USA became severely hit by SARS-CoV-2 virus. TheWorld Health Organisation, on 11th March 2020, declared COVID-19 a pandemic. To combat the epidemic, the nations from every corner of the worldhas instituted various policies like physical distancing, isolation of infectedpopulation and researching on the potential vaccine of SARS-CoV-2. Toidentify the impact of various policies implemented by the affected countrieson the pandemic spread, a myriad of AI-based models have been presented toanalyse and predict the epidemiological trends of COVID-19. In this work, theauthors present a detailed study of different articial intelligence frameworksapplied for predictive analysis of COVID-19 patient record. The forecastingmodels acquire information from records to detect the pandemic spreadingand thus enabling an opportunity to take immediate actions to reduce thespread of the virus. This paper addresses the research issues and correspondingsolutions associated with the prediction and detection of infectious diseaseslike COVID-19. It further focuses on the study of vaccinations to cope withthe pandemic. Finally, the research challenges in terms of data availability,reliability, the accuracy of the existing prediction models and other open issuesare discussed to outline the future course of this study.Siddhant Banyal Rinky Dwivedi Koyel Datta Gupta Deepak Kumar Sharma Fadi Al-Turjman Leonardo Mostarda 2021Computers, Materials & Continua2021,,5:0
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