目的 系统梳理国内外抗结核药所致药物性肝损伤（ATB-DILI）的研究现状及核心热点，明确该领域研究格局与核心方向，为学术选题与临床实践决策提供指引。方法 检索Web of Science（WOS）和中国学术期刊全文数据库（CNKI）中ATB-DILI相关的中文和英文文献，并导入CiteSpace 6.2.R4和VOSviewer（1.6.18）软件进行分析。主要对文献的发表年份、数量、期刊分布、作者、机构及关键词共现进行文献计量学分析，并绘制可视化网络图谱。结果 共检索到841篇文献，排除重复和不相关文献后，最终纳入638篇文献，其中中文文献408篇，英文文献230篇。研究显示，1997—2024年间文献发表数量逐年增加，2012—2023年为研究活跃期。中国在发文量和引用次数方面均居首位，凸显其在全球ATB-DILI研究中的主导地位。关键词共现与突现分析表明，研究热点从药物毒性机制逐步拓展至个体易感性、风险因素、临床管理及防治策略，并显示出“单核苷酸多态性”“药物研发”“预测模型”等新兴方向。结论 ATB-DILI研究已逐步从疾病相关性探讨转向个体化治疗与预防策略的深度探索，数据驱动的研究方法有望进一步推动该领域发展。

Objective To systematically review the current research status and core hotspots of anti-tuberculosis drug-induced liver injury (ATB-DILI) both domestically and internationally, clarify the research landscape and core directions in this field, and provide guidance for academic topic selection and clinical practice decision-making. Methods Chinese and English literature related to ATBDILI was retrieved from the Web of Science (WOS) and China National Knowledge Infrastructure (CNKI) databases and imported into CiteSpace 6.2.R4 and VOSviewer 1.6.18 software for analysis. Bibliometric analysis was conducted on the publication year, quantity, journal distribution, authors, institutions, and co-occurrence of keywords of the literature, and visual network maps were drawn. Results A total of 841 articles were retrieved. After excluding duplicates and irrelevant articles, 638 articles were finally included, including 408 Chinese articles and 230 English articles. The research shows that the number of published articles has increased year by year from 1997 to 2024, and the period from 2012 to 2023 was the active research period. China ranked first in terms of the number of published articles and citation frequency, highlighting its leading position in global ATB-DILI research. Co-occurrence and burst analysis of keywords indicated that research hotspots have gradually expanded from drug toxicity mechanisms to individual susceptibility, risk factors, clinical management, and prevention strategies, and emerging directions such as “single nucleotide polymorphism”, “drug development”, and “predictive models” have emerged. Conclusion ATB-DILI research has gradually shifted from exploring disease correlations to in-depth exploration of individualized treatment and prevention strategies. Data-driven research methods are expected to further promote the development of this field.

G350;R978.3

陕西省中医药管理局中医药科研项目（SZY-KJCYC-2025-JC-043）