Global research trends and hotspots in overweight/obese comorbid with depression among children and adolescents: A bibliometric analysis

BACKGROUND Overweight/obesity combined with depression among children and adolescents(ODCA)is a global concern.The bidirectional relationship between depression and overweight/obesity often leads to their comorbidity.Childhood and adolescence represent critical periods for physical and psychological development,during which the comorbidity of overweight/obesity and depression may increase the risk of adverse health outcomes.AIM To evaluate the relationship between ODCA,we conduct a bibliometric analysis to aid in formulating prevention and treatment strategies.METHODS From 2004 to 2023,articles related to ODCA were selected using the Science Citation Index Expanded from the Web of Science Core Collection.Bibliometric analysis of relevant publications,including countries/regions,institutions,authors,journals,references,and keywords,was conducted using the online bibliometric analysis platforms,CiteSpace,VOSviewer,and bibliometrix.RESULTS Between 2004 and 2023,a total of 1573 articles were published on ODCA.The United States has made leading contributions in this field,with Harvard University emerging as the leading contributor in terms of research output,and Tanofsky being the most prolific author.The J Adolescent Health has shown significant activity in this domain.Based on the results of the keyword and reference analyses,inequality,adverse childhood experiences,and comorbidities have become hot topics in ODCA.Moreover,the impact of balancedrelated behavior and exploration of the biological mechanisms,including the potential role of key adipocytokines and lipokines,as well as inflammation in ODCA,have emerged as frontier topics.CONCLUSION The trend of a significant increase in ODCA publications is expected to continue.The research findings will contribute to elucidating the pathogenic mechanisms of ODCA and its prevention and treatment.

Hotspots and research trends of Piwi-interacting RNAs from 2006 to 2023 based on bibliometric analysis

Background:Piwi-interacting RNAs(piRNAs)are a type of non-coding RNAs,initially identified in germ cells in 2006,known to bind to the Piwi family proteins.Accumulating studies indicate their importance in genome stability,epigenetics regulation,germ cell differentiation,and tumor development.Despite growing interest in piRNA research,there is a lack of comprehensive bibliometric studies on the subject.This study aims to analyze piRNA research trends from 2006 to 2023.Methods:The literature regarding piRNA was sourced from the Web of Science on April 25,2023.VOSviewer,CiteSpace and a bibliometric online website(https://bibliometric.com/app)were employed to perform bibliometric analysis.Network maps were constructed to evaluate the collaborations among countries,institutions,authors,journals,references,keywords,and research hot pots.Results:In this study,2549 literature were published across 464 countries and 6921 institutions,comprising 2010 articles and 539 reviews.The United States led in publication output(n=1011,39.66%),followed by China(635,24.91%).The University of Tokyo had the most publications among all institutions(n=100,3.92%),followed by the Chinese Academy of Sciences(n=86,3.37%).Among 631 published journals,Nucleic Acids Research was the most published journal(n=83,3.26%).Siomi Mikiko C published the most articles(n=58),with Aravin Alexei A as the most co-cited author.Analysis of term co-occurrence unveiled three highly interconnected clusters,including“piRNA biogenesis and function”,“cancer and regulation”,as well as“protein and species”.The research focus has transferred from male reproductive development to tumor progression.Conclusion:This bibliometric analysis offered a thorough overview of the current state of piRNA research,deepening understanding of the progress in this field over the last 17 years and providing a valuable reference for scholars engaged in piRNA studies.

Research trends on artificial intelligence and endoscopy in digestive diseases: A bibliometric analysis from 1990 to 2022

BACKGROUND Recently,artificial intelligence(AI)has been widely used in gastrointestinal endoscopy examinations.AIM To comprehensively evaluate the application of AI-assisted endoscopy in detecting different digestive diseases using bibliometric analysis.METHODS Relevant publications from the Web of Science published from 1990 to 2022 were extracted using a combination of the search terms“AI”and“endoscopy”.The following information was recorded from the included publications:Title,author,institution,country,endoscopy type,disease type,performance of AI,publication,citation,journal and H-index.RESULTS A total of 446 studies were included.The number of articles reached its peak in 2021,and the annual citation numbers increased after 2006.China,the United States and Japan were dominant countries in this field,accounting for 28.7%,16.8%,and 15.7%of publications,respectively.The Tada Tomohiro Institute of Gastroenterology and Proctology was the most influential institution.“Cancer”and“polyps”were the hotspots in this field.Colorectal polyps were the most concerning and researched disease,followed by gastric cancer and gastrointestinal bleeding.Conventional endoscopy was the most common type of examination.The accuracy of AI in detecting Barrett’s esophagus,colorectal polyps and gastric cancer from 2018 to 2022 is 87.6%,93.7%and 88.3%,respectively.The detection rates of adenoma and gastrointestinal bleeding from 2018 to 2022 are 31.3%and 96.2%,respectively.CONCLUSION AI could improve the detection rate of digestive tract diseases and a convolutional neural network-based diagnosis program for endoscopic images shows promising results.

Automated writing evaluation(1995-2022):Research trends and implications

Automated writing evaluation is the use of computer programs to evaluate essays written in an educational setting.This study aims to evaluate the state of the art and the trends of automated writing evaluation research.A total of 206 automated writing evaluation-related publications published in 88 journals between 1995 and 2022 were used as the data in our study.Bibliometric methods were employed to identify the publication trends,venues for publication,productive authors,highly cited articles,seminal works,and the most frequently explored topics across the past decades.The findings show that automated writing evaluation has become a fast-growing interdisciplinary area of interest.In addition,this line of research has witnessed a growing interest in topics pertaining to the latest technology,the perception of children,the teachers’feedback,and complex tasks.Implications of our study for future research are also discussed.

Information Extraction Based on Multi-turn Question Answering for Analyzing Korean Research Trends

Analyzing Research and Development(R&D)trends is important because it can influence future decisions regarding R&D direction.In typical trend analysis,topic or technology taxonomies are employed to compute the popularities of the topics or codes over time.Although it is simple and effective,the taxonomies are difficult to manage because new technologies are introduced rapidly.Therefore,recent studies exploit deep learning to extract pre-defined targets such as problems and solutions.Based on the recent advances in question answering(QA)using deep learning,we adopt a multi-turn QA model to extract problems and solutions from Korean R&D reports.With the previous research,we use the reports directly and analyze the difficulties in handling them using QA style on Information Extraction(IE)for sentence-level benchmark dataset.After investigating the characteristics of Korean R&D,we propose a model to deal with multiple and repeated appearances of targets in the reports.Accordingly,we propose a model that includes an algorithm with two novel modules and a prompt.A newly proposed methodology focuses on reformulating a question without a static template or pre-defined knowledge.We show the effectiveness of the proposed model using a Korean R&D report dataset that we constructed and presented an in-depth analysis of the benefits of the multi-turn QA model.

Research trends of machine learning in traditional medicine:a big-data based tenyear bibliometric analysis

Background:With the rapid development of the world’s technology,the connection and integration between traditional medicine and modern machine learning technology are increasingly close.In this study,we aimed to analyze publications on machine learning in traditional medicine by using bibliometric methods and explore global trends in the field.Methods:Relevant research on machine learning in traditional medicine extracted from the Web of Science Core Collection database.Bibliometric analysis and visualization were performed using the Bibliometrix package in R software.Global trends,source journals,authorship,and thematic keywords analysis were performed in this study.Results:From 2012 to 2022,a total of 282 publications on machine learning in traditional medicine were identified and analyzed.The average annual growth rate of the publications was 13.35%.China had the largest contribution in this field(53.9%),followed by the United States(32.6%).IEEE Access had the largest number of published articles,with a total of 15 articles.Calvin Yu-Chian Chen,Xiao-juan Hu and Jue Wang were the main researchers in this field.Shanghai University of Traditional Chinese Medicine and University of California,San Francisco were the main research institutions.Conclusion:This study provides information on research trends in machine learning in traditional medicine to better understand research hotspots and future developments in this field.According to current global trends,the number of publications in this field will gradually increase.China currently dominated the field.Applied research of machine learning techniques may be the next hot topic in this field and deserves further attention.

An Analysis of the Research Trends in Blended Learning Methods in Teaching College English Reading Courses

Curtis J.Bonk defined blended learning as a combination of face-to-face and computer-assisted online learning instruction since it was gradually formed after the emergence of the Internet[1,2].Breen pointed out that blended learning is a learning method that combines online and offline learning activities and resources[3].The blended learning approach is popular in school and e-learning.Moreover,it is one of the important trends in promoting higher education reform in the coming years.Therefore,it has attracted the attention of international researchers[4].In this paper,42 articles in Scopus(established by international institutions)and 30 articles in CNKI(found by Chinese mainland institutions)on the query of“college English reading blended learning”in the field of education were analyzed.Furthermore,CiteSpace software was used to analyze the research hotspots and trends with the keyword clusters and citations that occurred in the last two decades(1999 to 2022)to foresee future research prospects.

Understanding Research Trends in Android Malware Research Using Information Modelling Techniques

Android has been dominating the smartphone market for more than a decade and has managed to capture 87.8%of the market share.Such popularity of Android has drawn the attention of cybercriminals and malware developers.The malicious applications can steal sensitive information like contacts,read personal messages,record calls,send messages to premium-rate numbers,cause financial loss,gain access to the gallery and can access the user’s geographic location.Numerous surveys on Android security have primarily focused on types of malware attack,their propagation,and techniques to mitigate them.To the best of our knowledge,Android malware literature has never been explored using information modelling techniques.Further,promulgation of contemporary research trends in Android malware research has never been done from semantic point of view.This paper intends to identify intellectual core from Android malware literature using Latent Semantic Analysis(LSA).An extensive corpus of 843 articles on Android malware and security,published during 2009–2019,were processed using LSA.Subsequently,the truncated singular Value Decomposition(SVD)technique was used for dimensionality reduction.Later,machine learning methods were deployed to effectively segregate prominent topic solutions with minimal bias.Apropos to observed term and document loading matrix values,this five core research areas and twenty research trends were identified.Further,potential future research directions have been detailed to offer a quick reference for information scientists.The study concludes to the fact that Android security is crucial for pervasive Android devices.Static analysis is the most widely investigated core area within Android security research and is expected to remain in trend in near future.Research trends indicate the need for a faster yet effective model to detect Android applications causing obfuscation,financial attacks and stealing user information.

Global Research Trends Related to CO_2 Emissions and Their Enlightenment to China

Given the growing awareness of the likely catastrophic impacts of climate change and close association of climate change with global emissions of greenhouse gases （of which carbon dioxide is more prominent） , considerable research efforts have been devoted to the analysis of carbon dioxide （CO2） emissions and its relationship to sustainable development. Now GHG reduction programs have been coming into effect in many developed coun- tries that have more responsibility for historical CO2 emissions, and the studies have become mature. First, the GHG emissions accounting system is more all-inclusive and the methods are more rational with the effort of IPCC from 1995 and all other research- ers related. Second, the responsibility allocation is more rational and fair. Along with the clarity of ＂carbon transfer＂ and ＂carbon leakage＂, the perspective and methodology for allocating regional COz emissions responsibility is turning from production base to consumption base. Third, the decomposition method has become more mature and more complex. For example, the decomposition formulas are including KAYA expression and input-output expres- sion and the decomposition techniques are developed from index analysis to simple average divisia and then adaptive-weighting divisia. Fourth, projection models have become more integrated and long-term. The top-down model and bottom-up model are both inter-embedded and synergetic. Trends above give some advice for the research on CO2 in China, such as emissions factors database construction, deeper-going research on emissions responsibility and structure analysis, promotion of modeling technology and technology-environment database.

Research hotspots and trends in transcranial magnetic stimulation for cognitive impairment:A bibliometric analysis from 2014 to 2023

BACKGROUND Cognitive impairment,which manifests as a limited deterioration of specific functions associated with a particular disease,can lead to a general deterioration of the patient’s standard of living.Transcranial magnetic stimulation,a noninvasive neuromodulation technique,is frequently employed to treat cognitive impairment in neuropsychiatric disorders.AIM To analyzed the state of international research on neuromodulation methods for treating cognitive impairment between 2014 and 2023,with the aim of exploring the state of research worldwide and the most recent developments in this particular area.METHODS Articles and reviews pertaining to neuromodulation methods for cognitive impairment were examined using the web of science database between January 2014 and December 2023.Publications,nations,organizations,writers,journals,citations,and keywords data from the identified studies were systematically analyzed using the CiteSpace 6.3.R1 software.RESULTS A total of 2371 documents with 11750 authors and 9461 institutions,with some cooccurrences,were retrieved.The quantity of yearly publications is showing an increasing trend.The United States and China have emerged as important contributors.Among the institutes,Harvard University had the highest number of publications,while Rossi S an author who is frequently cited.Initially,the primary keywords included human motor cortex,placebo-controlled trials,and serotonin reuptake inhibitors.However,the emphasis gradually moved to substance use disorders,supplementary motor areas,neural mechanisms,and exercise.CONCLUSION The use of neuromodulation techniques to treat cognitive impairment has drawn interest from academics all around the world.This study revealed hotspots and new trends in the research of transcranial magnetic stimulation as a cognitive impairment rehabilitation treatment.These findings are hold significant potential to guide further research and thus promote transcranial magnetic stimulation as a treatment method for cognitive impairment.

Global Scientific Trends in Research Related to Diabetic Sarcopenia from 1993 to 2023: A Bibliometric Analysis

Objectives: In this study, bibliometric approach was used to explore the literature in the field of research related to Diabetic Myasthenia Gravis in order to identify the current research progress in Diabetic Myasthenia Gravis related research and to help the researchers to predict the future hotspots in the field of research and to provide reference for the research. Methods: Literature related to diabetic sarcopenia published from 1993 to 2023 since the inception of the repository was extracted from the Web of Science Core Collection (WoSCC) and bibliometric analyses were performed. We have analysed the published literature of the last approximately almost 30 years, as well as publication and citation analyses from different countries, institutions, journals and authors. For keywords, we performed co-occurrence, clustering, timeline view and citation burst analysis. Results: On the basis of 1564 publications, we found a continuous increase in the number of publications and citations, especially in the last six years. The United States is the most representative country, and Seoul National University (SNU) is the most representative institution. The most popular journal in the field is Diabetes Care;Fukui, Michiaki is the most prolific author, leading many studies related to diabetic sarcopenia. The most frequently cited reference was a revised European consensus on the definition and diagnosis of sarcopenia;the most cited keywords were related to physiological factors of diabetes, sarcopenia and related conditions, such as “insulin resistance”, “skeletal muscle”, “body composition”, “risk” and “prevalence”. Conclusion: With more and more studies on the relationship between diabetic sarcopenia, this study presents the current status and trend of research related to diabetic sarcopenia over the past nearly 30 years through the visualization software CiteSpace. It can help researchers identify potential collaborators and partner institutions, hotspots and research frontiers in the field of diabetic sarcopenia. However, our work is only based on the English language literature in the WoSCC database, and for future studies, we recommend that researchers explore the literature from multiple databases to enhance the scope of their research.

Examining the nexus of blockchain technology and digital twins:Bibliometric evidence and research trends

The integration of Blockchain Technology(BT)with Digital Twins(DTs)is becoming increasingly recognized as an effective strategy to enhance trust,interoperability,and data privacy in virtual spaces such as the metaverse.Although there is a significant body of research at the intersection of BT and DTs,a thorough review of the field has not yet been conducted.This study performs a systematic literature review on BT and DTs,using the CiteSpace analytic tool to evaluate the content and bibliometric information.The review covers 976 publications,identifying the significant effects of BT on DTs and the integration challenges.Key themes emerging from keyword analysis include augmented reality,smart cities,smart manufacturing,cybersecurity,lifecycle management,Ethereum,smart grids,additive manufacturing,blockchain technology,and digitalization.Based on this analysis,the study proposes a development framework for BTenhanced DTs that includes supporting technologies and applications,main applications,advantages and functionalities,primary contexts of application,and overarching goals and principles.Additionally,an examination of bibliometric data reveals three developmental phases in cross-sectional research on BT and DTs:technology development,technology use,and technology deployment.These phases highlight the research field’s evolution and provide valuable direction for future studies on BTenhanced DTs.

Research trends of worldwide ophthalmologic randomized controlled trials in the 21st century:A bibliometric study

Background:Randomized controlled trials(RCTs)are often considered the gold standard and the cornerstone for clinical practice.However,bibliometric studies on worldwide RCTs of ophthalmology published in the 21st century have not been reported in detail yet.This study aims to perform a bibliometric study and visualization analysis of worldwide ophthalmologic RCTs in the 21st century.Methods:Global ophthalmologic RCTs from 2000 to 2022 were searched in the Web of Science Core Collection.The number of publications,country/region,institution,author,journal,and research hotspots of RCTs were analyzed using HistCite,VOSviewer,CiteSpace,and Excel software.Results:2366 institutions and 90 journals from 83 countries/regions participated in the publication of 1769 global ophthalmologic RCTs,with the United States leading in the number of volumes and research field,and the Moorfields Eye Hospital contributing to the most publications.Ophthalmology received the greatest number of publications and co-citations.Jeffrey S.Heier owned the most publications and Jost B.Jonas owned the most cocitations.The knowledge foundations of global ophthalmologic RCTs were mainly retinopathy,glaucoma,dry eye disease(DED),and cataracts,and anti-vascular endothelial growth factor(VEGF)therapy(ranibizumab),topical ocular hypotensive medication,laser trabeculoplasty.Anti-VEGF therapy for age-related macular degeneration(AMD),DME(diabetic macular edema),and DED,the use of new diagnostic tools,and myopia were the hottest research highlights.Anti-VEGF therapy,prompt laser,triamcinolone,and verteporfin photodynamic therapy for AMD,DME,and CNV(choroidal neovascularization),DED,myopia,and open-angle glaucoma were the research hotspots with the longest duration.The future research hotspots might be DED and the prevention and control of myopia.Conclusions:Overall,the number of global ophthalmologic RCTs in the 21st century was keeping growing,there was an imbalance between the regions and institutions,and more efforts are required to raise the quantity,quality,and global impact of high-quality clinical evidence in developing countries/regions.

Trends in Domestic Soundscape Research: Knowledge Graph Analysis Based on Cite Space

The development of soundscape has a history of over 20 years to this day. Based on the CNKI database, a contact graph of authors in the field of soundscape is drawn using Cite Space software, and the number of core authors in the field of soundscape is determined to be 30. Based on the number of papers and the evolution of keywords over the years, the development of soundscape research is divided into three stages: exploration stage(1995-2006), pre development stage(2007-2015), and post development stage(2016-present). The research direction is divided into three categories: soundscape perception, soundscape evaluation, and soundscape design. According to various graph analysis, with the continuous development of science and technology, soundscape research fields and methods are gradually diversified, and fields such as soundscape evaluation, soundscape, landscape architecture, soundscape perception and sound stroll have gradually become hot spots in soundscape research.

Trends in research on osteoarthritis of the knee in conventional medicine:a bibliometric analysis based on big data from 1990-2022

Background:Osteoarthritis of the knee(KOA)is a chronic degenerative disease.KOA is a growing concern due to its high incidence and the pain and other burdens it places on patients.Traditional medicine is a health care model with a long history that includes nature-based treatments,psycho-psychological types of treatments,and more.Traditional medicine is also more effective in diagnosing and treating KOA,and it has never stopped researching KOA.There are no bibliometric studies analyzing articles on the traditional medical diagnosis and management of KOA.This study aimed to comprehensively analyze and analyze the general trends in the study of KOA in traditional medicine from a bibliometric perspective.Methods:All articles reporting on KOA and traditional medicine from 1 January 1990 to 01 November 2022 were obtained from the Web of Science Core.Some software such as CiteSpace,VOS Viewer and Scimago Graphica were used to analyse the publications,which included authors,citations,journals,references,countries where studies were published,institutions and research keywords.The final visualisations were produced using this data.Results:A total of 769 articles were searched.Peijian Tong was identified as the most contributing and published author in the field,and medicine was identified as the most reputable journal in the field of traditional medicine and osteoarthritis of the knee.China is a global leader in the field and a centre of collaboration in the field,with a major concentration of traditional medicine in Asia,which is consistent with the evidence that traditional medicine originated in Asia.According to the data,“osteoarthritis”,“knee osteoarthritis”,“pain”,and“knee”and“hip”were identified as hot keywords for research in this area.Conclusions:The results of this bibliometric study provide a snapshot of the current state of clinical research in the treatment of KOA in traditional medicine and are well placed to envisage future hotspots and possible trends,and may help to provide researchers with more than enough information with a view to guiding the cutting edge of research in this field and the infinite possibilities for the future.

Data-enhanced revealing of trends in Geoscience

Purpose:This article presents an in-depth analysis of global research trends in Geosciences from 2014 to 2023.By integrating bibliometric analysis with expert insights from the Deep-time Digital Earth(DDE)initiative,this article identifies key emerging themes shaping the landscape of Earth Sciences①.Design/methodology/approach:The identification process involved a meticulous analysis of over 400,000 papers from 466 Geosciences journals and approximately 5,800 papers from 93 interdisciplinary journals sourced from the Web of Science and Dimensions database.To map relationships between articles,citation networks were constructed,and spectral clustering algorithms were then employed to identify groups of related research,resulting in 407 clusters.Relevant research terms were extracted using the Log-Likelihood Ratio(LLR)algorithm,followed by statistical analyses on the volume of papers,average publication year,and average citation count within each cluster.Additionally,expert knowledge from DDE Scientific Committee was utilized to select top 30 trends based on their representation,relevance,and impact within Geosciences,and finalize naming of these top trends with consideration of the content and implications of the associated research.This comprehensive approach in systematically delineating and characterizing the trends in a way which is understandable to geoscientists.Findings:Thirty significant trends were identified in the field of Geosciences,spanning five domains:deep space,deep time,deep Earth,habitable Earth,and big data.These topics reflect the latest trends and advancements in Geosciences and have the potential to address real-world problems that are closely related to society,science,and technology.Research limitations:The analyzed data of this study only contain those were included in the Web of Science.Practical implications:This study will strongly support the organizations and individual scientists to understand the modern frontier of earth science,especially on solid earth.The organizations such as the surveys or natural science fund could map out areas for future exploration and analyze the hot topics reference to this study.Originality/value:This paper integrates bibliometric analysis with expert insights to highlight the most significant trends on earth science and reach the individual scientist and public by global voting.

Research status and hotspots of tight junctions and colorectal cancer:A bibliometric and visualization analysis

BACKGROUND Colorectal cancer(CRC)is the third most common cancer worldwide and the second leading cause of cancer-related death.Over the past two decades,numerous researchers have provided important evidence regarding the role of tight junction(TJ)proteins in the occurrence and progression of CRC.The causal relationship between the presence of specific TJ proteins and the development of CRC has also been confirmed.Despite the large number of publications in this field,a bibliometric study to review the current state of research and highlight the research trends and hotspots in this field has not yet been performed.AIM To analyze research on TJs and CRC,summarize the field’s history and current status,and predict future research directions.METHODS We searched the Science Citation Index Expanded database for all literature on CRC and TJs from 2001-2023.We used bibliometrics to analyze the data of these papers,such as the authors,countries,institutions,and references.Co-authorship,co-citation,and co-occurrence analyses were the main methods of analysis.CiteSpace and VOSviewer were used to visualize the results.RESULTS A total of 205 studies were ultimately identified.The number of publications on this topic has steadily increased since 2007.China and the United States have made the largest contributions to this field.Anticancer Research was the most prolific journal,publishing 8 articles,while the journal Oncogene had the highest average citation rate(68.33).Professor Dhawan P was the most prolific and cited author in this field.Co-occurrence analysis of keywords revealed that“tight junction protein expression”,“colorectal cancer”,“intestinal microbiota”,and“inflammatory bowel disease”had the highest frequency of occurrence,revealing the research hotspots and trends in this field.CONCLUSION This bibliometric analysis evaluated the scope and trends of TJ proteins in CRC,providing valuable research perspectives and future directions for studying the connection between the two.It is recommended to focus on emerging research hotspots,such as the correlations among intestinal microbiota,inflammatory bowel disease,TJ protein expression,and CRC.

Trends and hotspots in gastrointestinal neoplasms risk assessment: A bibliometric analysis from 1984 to 2022

BACKGROUND Gastrointestinal neoplasm(GN)significantly impact the global cancer burden and mortality,necessitating early detection and treatment.Understanding the evolution and current state of research in this field is vital.AIM To conducts a comprehensive bibliometric analysis of publications from 1984 to 2022 to elucidate the trends and hotspots in the GN risk assessment research,focusing on key contributors,institutions,and thematic evolution.METHODS This study conducted a bibliometric analysis of data from the Web of Science Core Collection database using the"bibliometrix"R package,VOSviewer,and CiteSpace.The analysis focused on the distribution of publications,contributions by institutions and countries,and trends in keywords.The methods included data synthesis,network analysis,and visualization of international collaboration networks.RESULTS This analysis of 1371 articles on GN risk assessment revealed a notable evolution in terms of research focus and collaboration.It highlights the United States'critical role in advancing this field,with significant contributions from institutions such as Brigham and Women's Hospital and the National Cancer Institute.The last five years,substantial advancements have been made,representing nearly 45%of the examined literature.Publication rates have dramatically increased,from 20 articles in 2002 to 112 in 2022,reflecting intensified research efforts.This study underscores a growing trend toward interdisciplinary and international collaboration,with the Journal of Clinical Oncology standing out as a key publication outlet.This shift toward more comprehensive and collaborative research methods marks a significant step in addressing GN risks.CONCLUSION This study underscores advancements in GN risk assessment through genetic analyses and machine learning and reveals significant geographical disparities in research emphasis.This calls for enhanced global collaboration and integration of artificial intelligence to improve cancer prevention and treatment accuracy,ultimately enhancing worldwide patient care.

Trend analysis of stroke risk research based on three-dimensional metrics

This study comprehensively analyzes the status,characteristics,focal points,and evolving trends of global research on“stroke risk analysis”over the past four years(2020–2023),aiming to provide insights for directing future research endeavors.By utilizing the Newcastle-Ottawa Scale,63 high-quality research papers were selected and subjected to a systematic literature review.In terms of research methods,stroke risk analysis research has evolved from clinical trials(e.g.,establishing control groups,using authoritative scales)towards statistical and data analysis methods(e.g.,decision tree analysis).Regarding research factors,early studies primarily focused on pathological factors associated with hemorrhagic and ischemic stroke,such as hypertension,hyperlipidemia,and diabetes.Recent research from the past two years indicates a shift towards emerging factors,including temperature conditions,air quality,and Corona Virus Disease 2019(COVID-19).In terms of application domains,stroke research covers a broad range of fields but mainly focuses on exploring risk factors,interventions during diagnosis and treatment stages,and rehabilitation,with clinical diagnosis,treatment,and drug intervention studies being predominant.While the research landscape is becoming increasingly diversified and comprehensive,there remains a need for more comprehensive and in-depth studies on novel topics,as well as integrated applications of research methods,presenting ample opportunities for exploring dependent variables in future stroke.

Climate change and infectious disease: a review of evidence and research trends

Background Climate change presents an imminent threat to almost all biological systems across the globe.In recent years there have been a series of studies showing how changes in climate can impact infectious disease transmission.Many of these publications focus on simulations based on in silico data,shadowing empirical research based on feld and laboratory data.A synthesis work of empirical climate change and infectious disease research is still lacking.Methods We conducted a systemic review of research from 2015 to 2020 period on climate change and infectious diseases to identify major trends and current gaps of research.Literature was sourced from Web of Science and PubMed literary repositories using a key word search,and was reviewed using a delineated inclusion criteria by a team of reviewers.Results Our review revealed that both taxonomic and geographic biases are present in climate and infectious disease research,specifcally with regard to types of disease transmission and localities studied.Empirical investigations on vector-borne diseases associated with mosquitoes comprised the majority of research on the climate change and infectious disease literature.Furthermore,demographic trends in the institutions and individuals published revealed research bias towards research conducted across temperate,high-income countries.We also identifed key trends in funding sources for most resent literature and a discrepancy in the gender identities of publishing authors which may refect current systemic inequities in the scientifc feld.Conclusions Future research lines on climate change and infectious diseases should considered diseases of direct transmission(non-vector-borne)and more research efort in the tropics.Inclusion of local research in low-and middle-income countries was generally neglected.Research on climate change and infectious disease has failed to be socially inclusive,geographically balanced,and broad in terms of the disease systems studied,limiting our capacities to better understand the actual efects of climate change on health.