使用潜伏的迪里克莱特分配主题建模来揭示脏细胞癌的潜伏研究主题和趋势:书法测量审查
Javier De La Hoz-M1, Karime Montes-Escobar2,3, Carlos Alfredo Salas-Macias4
1Universidad del Magdalena, Santa Marta, Colombia.
JMIR cancer
|January 16, 2026
概括
本文献统计综述分析了细胞癌 (RCC) 研究趋势,揭示了对理解疾病特征和遗传学的转变. 未来的研究应该集中在药物耐药性和转移性RCC的向治疗.
科学领域:
- 在瘤学瘤学.
- 图书统计学 图书统计学
- 数据科学数据科学数据科学
背景情况:
- 细胞癌 (RCC) 是一个日益严重的全球健康问题,发病率越来越高.
- 虽然局部RCC可以通过手术治疗,但转移性RCC会带来重大挑战.
- 尽管在诊断和预后方面取得了进展,但耐药性和RCC的异质性仍然是关键问题.
研究的目的:
- 进行对细胞癌 (RCC) 研究的综合文献分析.
- 确定关键的研究主题和该领域不断发展的趋势.
- 为未来的RCC调查提供基础.
主要方法:
- 使用R"Bibliometrix"进行Scopus和PubMed (1975-2023) 的数据挖掘.
- 用潜伏的迪里克莱特分配来进行主题建模,并确定了30个不同的研究主题.
- 使用热图和等级分类来对相关主题进行分组,可视化趋势.
主要成果:
- 分析了来自3070个来源的35,228份文件,显示了118个国家的9.86%的年增长.
- 确定了8个主要研究领域,包括治疗,遗传学,疾病进展,诊断,转移,流行病学,相关疾病和病理学.
- 集群图证实了RCC研究中确定的主题集群.
结论:
- RCC研究已经从诊断发展到对疾病特征和进展的更深入理解.
- 新兴领域包括诊断成像,奥米克技术 (如microRNA) 和遗传背景.
- 未来的方向包括耐药性,向疗法,免疫疗法以及被忽视的领域,如RCC中的ferroptosis和AI应用.
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