High Yield Medical Reviews最新文献

Ophthalmology Perspective on The Theory of Amyloid Beta Toxicity: Implications on Future Studies 淀粉样蛋白β毒性理论的眼科学视角：对未来研究的影响

High Yield Medical Reviews Pub Date : 2024-06-01 DOI: 10.59707/hymrligd8327

S. A. Alryalat, M. Alshrouf, Abdulla AlMomani, A. Ryalat

{"title":"Ophthalmology Perspective on The Theory of Amyloid Beta Toxicity: Implications on Future Studies","authors":"S. A. Alryalat, M. Alshrouf, Abdulla AlMomani, A. Ryalat","doi":"10.59707/hymrligd8327","DOIUrl":"https://doi.org/10.59707/hymrligd8327","url":null,"abstract":"\u0000Background: The debate about the theory of amyloid beta (Aβ) toxicity grew after the recent approval of the Alzheimer's drug Aducanumab. This was especially true after one of the first articles to bring up this theory was recently criticized for being questionable. Several studies in the field of ophthalmology also used the same theory of Aβ toxicity. \u0000 \u0000 \u0000Methods: We searched PubMed for ophthalmology-related articles on until January 2024, mentioning amyloid beta to study the consequences of such data concerns and questioned the pathogenic role for Aβ. We will examine the breadth of Aβ-related ophthalmology articles, with an emphasis on those that address Aβ toxicity theory. \u0000 \u0000 \u0000Results: There was a total of 451 articles in the field of ophthalmology that talked about Aβ. Before 2007, the number of articles did not exceed 10 per year. Since 2007, the number of articles published each year has gone up. In 2007, 14 articles were published, by 2021, 38 articles were published each year before decreasing to 24 articles by 2023. The 2006 article by Lesne et al. was cited 1216times in PubMed. When both searches were put together, a total of seven ophthalmology-related articles that cited Lesne et al's article were found, which we discussed in this review article. \u0000 \u0000 \u0000Conclusion: Most articles on ophthalmology saw amyloid beta as a diagnostic biomarker, but only a few findings demonstrated that it could be toxic. Most of the time, Aβ was talked about in relation to the retina and its age-related disease, age-related macular degeneration. \u0000","PeriodicalId":335220,"journal":{"name":"High Yield Medical Reviews","volume":"43 17","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141280244","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Comparative Analysis of the Bibliographic Data Sources Using PubMed, Scopus, Web of Science, and Lens 使用 PubMed、Scopus、Web of Science 和 Lens 对文献数据源进行比较分析

High Yield Medical Reviews Pub Date : 2024-06-01 DOI: 10.59707/hymrunhw4628

Alaa Tarazi

{"title":"Comparative Analysis of the Bibliographic Data Sources Using PubMed, Scopus, Web of Science, and Lens","authors":"Alaa Tarazi","doi":"10.59707/hymrunhw4628","DOIUrl":"https://doi.org/10.59707/hymrunhw4628","url":null,"abstract":"Background: Bibliometric analysis is a quantitative tool to evaluate collaboration and the impact of publications within a given field. This study aims to elucidate the methodologies used in different databases for bibliometric analysis, offering a detailed comparison of their pros and cons. \u0000Methods: PubMed, Scopus, Web of Science (WOS), and Lens were used in this comparative study, with search examples of the “University of Jordan” in the period (2019-2023). 2739, 7777, 7518, and 4326 publications were retrieved from these databases, respectively. PubMed has the least number of documents due to its limited scope. Microsoft Excel 2019 and VOSviewer 1.6.20 were used to assess the data analysis. \u0000Results: Annual growth was observed across all databases, except for Lens database. The majority of top authors were found to be shared among different databases, with variations in the number of documents, and WOS had the least number of documents per author. The top countries were shared between Scopus and WOS, but there was a substantial difference in the number of citations between WOS and Scopus. In institutions analysis, most were ranked as institute with their department, except in WOS where the results were reported as generalizable to the institute level. Keyword analysis revealed a significant similarity between different databases. Journals distribution also had a great similarity across different databases and variable documents. \u0000Conclusion: Researchers should choose a bibliographic database based on their specific needs, considering factors like coverage and accessibility. This study provides a comparative analysis of various databases, including the Lens database.","PeriodicalId":335220,"journal":{"name":"High Yield Medical Reviews","volume":"38 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141278791","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

From Data to Diagnosis: Narrative Review of Open-Access Mammography Databases for Breast Cancer Detection 从数据到诊断：用于乳腺癌检测的开放式乳腺 X 射线照相数据库的叙述性回顾

High Yield Medical Reviews Pub Date : 2024-06-01 DOI: 10.59707/hymrpfnz8344

Jaber H Jaradat, Raghad Amro, R. Hamamreh, Ayman Musleh, Mahmoud Abdelgalil

引用次数: 0

Decoding the Landscape of Cytomegalovirus Research in Liver Transplantation: An In-Depth Analysis 解码肝移植中巨细胞病毒研究的格局：深入分析

High Yield Medical Reviews Pub Date : 2024-06-01 DOI: 10.59707/hymrcqbq3107

Laurie Hung, Haneen Al-Abdallat, Aasem Rawshdeh, Esra’a Rasmi Al-Zghoul, Amani Al-Rawashdeh, Mohammad Alzoubi, Badi Rawashdeh

{"title":"Decoding the Landscape of Cytomegalovirus Research in Liver Transplantation: An In-Depth Analysis","authors":"Laurie Hung, Haneen Al-Abdallat, Aasem Rawshdeh, Esra’a Rasmi Al-Zghoul, Amani Al-Rawashdeh, Mohammad Alzoubi, Badi Rawashdeh","doi":"10.59707/hymrcqbq3107","DOIUrl":"https://doi.org/10.59707/hymrcqbq3107","url":null,"abstract":"Introduction: Cytomegalovirus (CMV), a prevalent viral infection post-liver transplantation, significantly influences transplant outcomes. This bibliometric analysis explores the evolving landscape of CMV-related research in liver transplantation, emphasizing research output and key areas of interest. \u0000Methods: Utilizing the Web of Science (WOS) database, we systematically searched for CMV and liver transplantation documents on October 16, 2023. R programming language, VOSviewer, and Microsoft Excel Office 365 were used for analysis. \u0000Results: Analyzing 801 publications on CMV-related research in liver transplantation unveiled a variable publication pattern, peaking in 2010 and 2021. \"Transplantation\" stood out as the predominant journal. Leading contributors included the University of Pittsburgh, Mayo Clinic, and the University of Washington. The United States led in contributions, followed by Spain and the United Kingdom. The analysis highlighted substantial international collaboration, notably involving the United States, the United Kingdom, Canada, China, and Italy. Key themes revolved around recipients, prophylaxis, prevention, and antiviral therapies, with ganciclovir and valganciclovir as primary medications. Recently, there has been significant discussion regarding medications such as letermovir and maribavir. \u0000Conclusion: This research highlights the dynamic landscape of CMV infection studies, focusing on emerging trends and new medications like 'letermovir' and' maribavir'. Given the persistent challenges in transplantation, leveraging these insights is crucial for collaborative efforts and innovative research initiatives. As the transplantation community grapples with the challenges of CMV infections, our paper aims to serve as a cornerstone among contributors, fostering collaboration among authors, centers, and countries. We hope this collaboration will significantly benefit patients and elevate healthcare standards.","PeriodicalId":335220,"journal":{"name":"High Yield Medical Reviews","volume":"21 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141279300","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Analysis of retracted articles by Jordanian authors 对约旦作者被撤稿文章的分析

High Yield Medical Reviews Pub Date : 2023-12-09 DOI: 10.59707/hymrwesp3396

Naseem Zghoul, Rana Sultan AlKhraisha, Yara Odeh Odeh, Aya Rashid Rashid, Ruby Jamali, S. A. Alryalat

{"title":"Analysis of retracted articles by Jordanian authors","authors":"Naseem Zghoul, Rana Sultan AlKhraisha, Yara Odeh Odeh, Aya Rashid Rashid, Ruby Jamali, S. A. Alryalat","doi":"10.59707/hymrwesp3396","DOIUrl":"https://doi.org/10.59707/hymrwesp3396","url":null,"abstract":"Objective: The aim of this study is to analyze retracted articlespublished by Jordanian authors in the period between 2001 to2022. \u0000 \u0000Method: This paper was done by using data from the Retraction Watch database filtered to include papers where one of the authors was affiliated to Jordan covering the period between2001 to 2022. \u0000 \u0000Results: The search yielded a total of 40 articles retracted with authors affiliated to Jordan for papers published from 2001 to 2022, as reported in the retraction watch database. The number of retractions in the last 5 years has been increasing. Regardingfields, medicine was the most common with 50% of retractions, followed by technology and engineering. The total number of authors in this research was 132, out of them 79 authors were from Jordan. Five authors had two retractions, while the rest had one retraction. Of the total retractions, 7(18%) were from the University of jordan. Followed by Jordan University of Science and Technology (JUST) with 6 (15%.) retractions. In regard to the reason for retraction, author and data related disputes were the most common. \u0000 \u0000Conclusion: retractions in articles published by Jordanian authors has been increasing throughout the last few years, with highest researching universities having highest number of retractions. Awareness about data and author related reasons for retractions may lower retractions in Jordan.","PeriodicalId":335220,"journal":{"name":"High Yield Medical Reviews","volume":"25 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138585270","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Image Annotation Software for Artificial Intelligence Applications 人工智能应用图像注释软件

High Yield Medical Reviews Pub Date : 2023-12-09 DOI: 10.59707/hymrxhmx8234

Ayman Musleh, S. A. Alryalat, Ahmad Qasem

{"title":"Image Annotation Software for Artificial Intelligence Applications","authors":"Ayman Musleh, S. A. Alryalat, Ahmad Qasem","doi":"10.59707/hymrxhmx8234","DOIUrl":"https://doi.org/10.59707/hymrxhmx8234","url":null,"abstract":"Introduction: \u0000The growing trend in artificial intelligence has recently highlighted the demand for user-friendly and effective annotation tools for researchers. Therefore, we conducted a review to assess existing annotation software that has been used in ophthalmology projects and/or available on the web. \u0000 \u0000Methods: \u0000We systematically searched for AI ophthalmology studies using annotation software on PubMed on 8th July 2022 with specific criteria. Only original English articles related to ophthalmic AI were considered. From these, we identified annotation software used and conducted a subsequent Google search for additional software. Each software was evaluated based on factors like development year, accessibility, and citations of its original paper. Practicality criteria for the software included independence from external libraries, size under 100 MB, cost, and versatility in image input and output formats. \u0000 \u0000Results: \u0000We identified 131 image annotation software, of which 10 met our criteria. Among the software tools utilized for image annotation in ophthalmology papers, only CVAT and ImageJ were freely accessible. This paper provides a concise overview of the 10 image annotation software. \u0000Conclusions \u0000We systematically analyzed annotation software for fundus image annotation, highlighting 10 primary tools with varied functionalities. However, this study is limited to AI-related software, underscoring the need for continual updates due to the evolving nature of image annotation tools.","PeriodicalId":335220,"journal":{"name":"High Yield Medical Reviews","volume":"2 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138585518","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Harnessing Large Language Models in Medical Research and Scientific Writing: A Closer Look to The Future 在医学研究和科学写作中利用大型语言模型：展望未来

High Yield Medical Reviews Pub Date : 2023-12-09 DOI: 10.59707/hymrfbya5348

Mohammad Abu-Jeyyab, Sallam Alrosan, I. Alkhawaldeh

引用次数: 0

ChatGPT Role in a Medical Survey ChatGPT 在医学调查中的作用

High Yield Medical Reviews Pub Date : 2023-12-09 DOI: 10.59707/hymrtffp5435

Abdel Rahman Feras AlSamhori, J. AlSamhori, Ahmad Feras AlSamhori

{"title":"ChatGPT Role in a Medical Survey","authors":"Abdel Rahman Feras AlSamhori, J. AlSamhori, Ahmad Feras AlSamhori","doi":"10.59707/hymrtffp5435","DOIUrl":"https://doi.org/10.59707/hymrtffp5435","url":null,"abstract":"Significant progress has been made in AI over the past decade, but its application in clinical care remains limited. However, ChatGPT, an advanced language model developed by OpenAI, shows great promise in medicine and can significantly impact medical surveys by improving data collection and generating valuable insights for better healthcare outcomes. ChatGPT has the potential to enhance survey research by assisting in various aspects, including survey design, sampling, data cleaning, analysis, and reporting, improving the quality and efficiency of the research process. AI chatbots like ChatGPT in survey administration can enhance response rates and participant engagement, providing a better user experience and capturing more comprehensive data. Numerous studies have demonstrated ChatGPT's impressive performance in clinical reasoning exams, addressing complex questions in pathology, microbiology, and life support scenarios, making it a valuable tool for data analysis and decision-making in healthcare. While using ChatGPT in medical surveys offers advantages such as accessibility, language versatility, knowledge democratization, and efficiency, there are also disadvantages, including response sensitivity, data limitations, accuracy concerns, bias, and limited access to recent literature. Ethical concerns in AI healthcare include privacy issues, mistrust in AI systems, societal prejudices, and racial biases, which can be addressed through privacy protection measures, transparency, trust-building efforts, bias mitigation strategies, and involving relevant stakeholders in the process. \u0000 ","PeriodicalId":335220,"journal":{"name":"High Yield Medical Reviews","volume":"5 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138585478","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Reporting studies conducted using Open Access Data (ROAD) guideline statement 报告使用开放式获取数据（ROAD）准则声明进行的研究

High Yield Medical Reviews Pub Date : 2023-12-09 DOI: 10.59707/hymrunie2175

S. A. Alryalat, Lna Malkawi, Randa I. Farah

{"title":"Reporting studies conducted using Open Access Data (ROAD) guideline statement","authors":"S. A. Alryalat, Lna Malkawi, Randa I. Farah","doi":"10.59707/hymrunie2175","DOIUrl":"https://doi.org/10.59707/hymrunie2175","url":null,"abstract":"The growing availability of open access data presents numerous opportunities for researchers, but also raises challenges in terms of adequately reporting methods and findings. This article presents the Reporting of Studies Conducted using Open Access Data (ROAD) guidelines: a comprehensive, practical framework developed to standardize and improve the reporting of research using open access data. The guidelines were built upon existing principles for observational studies, tailored specifically to address the context of open data use. Their development involved an extensive review of published open data studies, and input from a diverse panel of experts through a series of consensus meetings. The ROAD guidelines encompass various aspects of study reporting, including specifying the original dataset, articulating study design and setting, detailing participant selection and variables, and acknowledging data providers. By enhancing transparency and reproducibility, these guidelines aim to improve the quality of research reports, ensure accurate interpretation of results , and foster more effective use of open access data in the scientific community. We invite feedback and further refinement from researchers and practitioners to ensure the continued relevance of the ROAD guidelines in the dynamic landscape of open data research.","PeriodicalId":335220,"journal":{"name":"High Yield Medical Reviews","volume":"8 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138585830","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Data Mining of Systematic Reviews 1934-2023: A Bibliometric Analysis 系统评论1934-2023的数据挖掘:文献计量学分析

High Yield Medical Reviews Pub Date : 2023-06-01 DOI: 10.59707/hymrhuhp8885

Haneen Al-Abdallat, Badi Rawashdeh

{"title":"Data Mining of Systematic Reviews 1934-2023: A Bibliometric Analysis","authors":"Haneen Al-Abdallat, Badi Rawashdeh","doi":"10.59707/hymrhuhp8885","DOIUrl":"https://doi.org/10.59707/hymrhuhp8885","url":null,"abstract":"Introduction \u0000Systematic reviews consolidate evidence and drive clinical practice guidelines, cost-effective analyses, and policy decisions; therefore, their annual publication rate has increased significantly. We used bibliometric analysis to identify research trends, the most searched topics, authors and organizations productivity and collaboration, the research network, and research gaps by examining keywords frequency and systematic reviews distribution.\u0000Methods \u0000We searched the PubMed database for systematic reviews using the systematic review filter described by Salvador-Oliván and coauthors, which has higher recall than the PubMed SR filter. The search period was from 1934 until February 3, 2023. Microsoft Excel and the VOSviewer application were used for analyzing yearly trends, institutions, authors, and keywords, as well as to create tables and network figures.\u0000Results \u0000A total of 378,685 articles were published. The number of articles published has been rising steadily during the past five years. The University of Toronto and McMaster University in Canada (n = 1415 and n = 1386) were the leading contributory universities. “Genetic predisposition to disease”, “postoperative complications”, “neoplasm”, “stroke”, and “covid-19” were the top 5 occurring keywords that are particular to a specialty in systematic reviews.\u0000Conclusion \u0000This bibliometric research examined systematic reviews, publication trends, the majority of publishing disciplines, authors and organizations productivity, and collaborative efforts. The results of this study could prove to be an invaluable resource for researchers, policymakers, and healthcare professionals.","PeriodicalId":335220,"journal":{"name":"High Yield Medical Reviews","volume":"30 13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133150526","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0