Suppr超能文献

糖尿病合并结核病研究的文献计量分析与知识图谱:1995年至2023年的趋势

Bibliometric analysis and knowledge mapping of diabetes mellitus combined with tuberculosis research: trends from 1995 to 2023.

作者信息

Li Yufeng, Ni Ruizi, An Yajing, Yang Ling, Ye Zhaoyang, Zhuang Li, Li Linsheng, Wang Liang, Gong Wenping

机构信息

Institute of Tuberculosis, Senior Department of Tuberculosis, the Eighth Medical Center of PLA General Hospital, Beijing, China.

Graduate school, Hebei North University, Zhangjiakou, Hebei, China.

出版信息

Front Immunol. 2025 Apr 4;16:1571123. doi: 10.3389/fimmu.2025.1571123. eCollection 2025.

Abstract

BACKGROUND

The synergistic epidemic of diabetes mellitus and tuberculosis (DM-TB) has created a dual disease burden, challenging global health systems with complex pathophysiological interactions and suboptimal treatment outcomes. To decode the evolving research landscape, this study presents the latest comprehensive bibliometric analysis mapping the intellectual architecture of DM-TB research over three decades.

METHODS

We systematically analyzed 791 peer-reviewed articles from the Web of Science Core Collection (1995-2023) using CiteSpace, VOSviewer, and Bibliometrix. Advanced metrics including co-citation networks, keyword burst detection, and institutional collaboration patterns were employed to identify paradigm-shifting trends.

RESULTS

Three distinct growth phases were observed: initial stagnation (1995-2007, <10 annual publications), exponential growth (2008-2019), and research diversification (2020-2023). The United States dominated scientific output (27.3% of total publications), while the London School of Hygiene & Tropical Medicine emerged as the central hub for international collaborations (TLS=176). Keyword evolution revealed three transformative phases: (1) Pathomechanistic exploration (1995-2016): Focused on hyperglycemia-immunity interplay and epidemiological surveillance; (2) Translational innovation (2017-2020): Shifted to preclinical models, pharmacokinetic optimization, and multidrug resistance; (3) Precision medicine era (2021-2023): Emerging hotspots in latent TB screening (burst strength=6.82), metformin-mediated immunomodulation, and AI-driven diagnostic biomarkers.

CONCLUSION

Beyond delineating historical trajectories, this study identifies critical knowledge gaps in inflammation-resolution mechanisms and insulin resistance pathways, proposing a roadmap for targeted biomarker discovery and global health policy formulation. The constructed knowledge framework empowers strategic resource allocation for combating the DM-TB syndemic.

摘要

背景

糖尿病与结核病的协同流行造成了双重疾病负担,其复杂的病理生理相互作用和欠佳的治疗结果给全球卫生系统带来了挑战。为了解读不断演变的研究格局,本研究呈现了最新的综合文献计量分析,描绘了三十年来糖尿病与结核病研究的知识架构。

方法

我们使用CiteSpace、VOSviewer和Bibliometrix系统分析了来自科学网核心合集(1995 - 2023年)的791篇同行评议文章。采用共被引网络、关键词突现检测和机构合作模式等先进指标来识别范式转变趋势。

结果

观察到三个不同的增长阶段:初始停滞期(1995 - 2007年,年发表量<10篇)、指数增长期(2008 - 2019年)和研究多元化期(2020 - 2023年)。美国在科研产出方面占主导地位(占总发表量的27.3%),而伦敦卫生与热带医学院成为国际合作的中心枢纽(TLS = 176)。关键词演变揭示了三个变革阶段:(1)病理机制探索(1995 - 2016年):专注于高血糖与免疫的相互作用以及流行病学监测;(2)转化创新(2017 - 2020年):转向临床前模型、药代动力学优化和多药耐药性;(3)精准医学时代(2021 - 2023年):潜伏性结核病筛查(突现强度 = 6.82)、二甲双胍介导的免疫调节和人工智能驱动的诊断生物标志物等新兴热点。

结论

本研究不仅描绘了历史轨迹,还识别了炎症消退机制和胰岛素抵抗途径方面的关键知识空白,为靶向生物标志物发现和全球卫生政策制定提出了路线图。构建的知识框架有助于为应对糖尿病与结核病综合征进行战略资源分配。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/06bd/12006080/5897be9a11ab/fimmu-16-1571123-g001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验