文献检索文档翻译深度研究
Suppr Zotero 插件Zotero 插件
邀请有礼套餐&价格历史记录

新学期,新优惠

限时优惠:9月1日-9月22日

30天高级会员仅需29元

1天体验卡首发特惠仅需5.99元

了解详情
不再提醒
插件&应用
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
高级版
套餐订阅购买积分包
AI 工具
文献检索文档翻译深度研究
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2025

Global research trends and collaborations in acute kidney injury (AKI) and sepsis: a bibliometric analysis (2004-2024).

作者信息

Yang Yuru, Zhao Shuang, Liu Shuai

机构信息

Department of Nephrology, Shibei Hospital of Jing'an District, Shanghai, PR China.

Department of Nephrology, Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, PR China.

出版信息

Ren Fail. 2025 Dec;47(1):2494049. doi: 10.1080/0886022X.2025.2494049. Epub 2025 Apr 24.


DOI:10.1080/0886022X.2025.2494049
PMID:40275570
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12035943/
Abstract

BACKGROUND: Acute kidney injury (AKI) and sepsis are critical clinical conditions associated with high morbidity and mortality. Despite growing research interest, there remains a need for a comprehensive analysis of global research trends in this field. Bibliometric analysis offers a quantitative approach to assessing the evolution of scientific knowledge, collaborative networks, and emerging research areas over time. OBJECTIVE: This study aims to map the global landscape of research on AKI and sepsis over the last two decades (2004-2024), identify major contributors, collaboration networks, key research trends, and highlight gaps in the literature. METHODS: We conducted a bibliometric analysis of research articles from leading databases. The study utilized network visualization techniques to assess co-authorship, citation patterns, and keyword co-occurrence, focusing on the most influential countries, institutions, and research collaborations. RESULTS: Results reveal China leads in publication volume, yet countries like the United States and Australia show higher international collaboration rates and citation impact. Additionally, thematic analyses highlight critical research areas, including biomarkers, bioenergetics, inflammation, and machine learning, marking significant advancements in the understanding and management of AKI. CONCLUSION: This bibliometric analysis offers valuable insights into the evolving landscape of AKI and sepsis research, emphasizing the importance of collaborative efforts to address knowledge gaps and ensure evidence-based care across diverse healthcare settings. Future research should prioritize the development of biomarkers and the integration of AI-driven technologies to enhance early diagnosis and personalize treatment strategies for AKI patients.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eceb/12035943/ead1ecec2af8/IRNF_A_2494049_F0005_C.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eceb/12035943/e3076c8ad72d/IRNF_A_2494049_F0001_B.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eceb/12035943/58b2e343586a/IRNF_A_2494049_F0002_C.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eceb/12035943/e41963e20e4a/IRNF_A_2494049_F0003_C.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eceb/12035943/8ecd847a5fa5/IRNF_A_2494049_F0004_C.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eceb/12035943/ead1ecec2af8/IRNF_A_2494049_F0005_C.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eceb/12035943/e3076c8ad72d/IRNF_A_2494049_F0001_B.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eceb/12035943/58b2e343586a/IRNF_A_2494049_F0002_C.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eceb/12035943/e41963e20e4a/IRNF_A_2494049_F0003_C.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eceb/12035943/8ecd847a5fa5/IRNF_A_2494049_F0004_C.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eceb/12035943/ead1ecec2af8/IRNF_A_2494049_F0005_C.jpg

相似文献

[1]
Global research trends and collaborations in acute kidney injury (AKI) and sepsis: a bibliometric analysis (2004-2024).

Ren Fail. 2025-12

[2]
Research hotspots and frontiers of machine learning in renal medicine: a bibliometric and visual analysis from 2013 to 2024.

Int Urol Nephrol. 2025-3

[3]
Research Trends in the Application of Artificial Intelligence in Oncology: A Bibliometric and Network Visualization Study.

Front Biosci (Landmark Ed). 2022-8-31

[4]
Exploring research trends and hotspots on oxidative stress and bronchopulmonary dysplasia: Insights from bibliometric and visualized study.

Pediatr Pulmonol. 2024-12

[5]
Neuropathic Pain: A Comprehensive Bibliometric Analysis of Research Trends, Contributions, and Future Directions.

Curr Pain Headache Rep. 2025-4-4

[6]
Current applications and research trends of ultrasound examination in acute kidney injury assessment: a bibliometric analysis.

Int Urol Nephrol. 2025-6

[7]
Finding the new potential research on diabetic kidney disease and hemodialysis in healthcare insurance databases: A bibliometric analysis.

Narra J. 2024-12

[8]
Mapping knowledge landscapes and emerging trends in artificial intelligence for antimicrobial resistance: bibliometric and visualization analysis.

Front Med (Lausanne). 2025-1-28

[9]
Global research trends of BRUE (brief resolved unexplained event) or formerly ALTE (apparent life-threatening event): A comprehensive visualization and bibliometric analysis from 1988 to 2024.

Am J Emerg Med. 2025-4

[10]
Research Hotspots and Development Trends on Apolipoprotein B in the Field of Atherosclerosis: A Bibliometric Analysis.

Mol Biotechnol. 2025-6

本文引用的文献

[1]
What stops us and what motivates us? A scoping review and bibliometric analysis of barriers and facilitators to physical activity.

Ageing Res Rev. 2024-8

[2]
Predictive value of machine learning for the risk of acute kidney injury (AKI) in hospital intensive care units (ICU) patients: a systematic review and meta-analysis.

PeerJ. 2023

[3]
Combining Machine Learning and Urine Oximetry: Towards an Intraoperative AKI Risk Prediction Algorithm.

J Clin Med. 2023-8-26

[4]
Acute kidney injury from sepsis: current concepts, epidemiology, pathophysiology, prevention and treatment.

Kidney Int. 2019-6-7

[5]
Sepsis associated acute kidney injury.

BMJ. 2019-1-9

[6]
Citation-based clustering of publications using CitNetExplorer and VOSviewer.

Scientometrics. 2017

[7]
Metabolic reprogramming and tolerance during sepsis-induced AKI.

Nat Rev Nephrol. 2017-1-16

[8]
The Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3).

JAMA. 2016-2-23

[9]
Epidemiology of acute kidney injury in critically ill patients: the multinational AKI-EPI study.

Intensive Care Med. 2015-7-11

[10]
Neutrophil gelatinase-associated lipocalin as a biomarker of acute kidney injury: a critical evaluation of current status.

Ann Clin Biochem. 2014-5

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

推荐工具

医学文档翻译智能文献检索