• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
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
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
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 @ 2026

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

绘制耐多药结核病临床试验的演变图谱:文献计量学综述(1965 - 2023年)

Mapping the Evolution of Clinical Trials on Drug-Resistant Tuberculosis: A Bibliometric Overview (1965-2023).

作者信息

Dagli Namrata, Haque Mainul, Kumar Santosh

机构信息

Karnavati Scientific Research Center, Karnavati School of Dentistry, Karnavati University, Gandhinagar, IND.

Pharmacology and Therapeutics, National Defence University of Malaysia, Kuala Lumpur, MYS.

出版信息

Cureus. 2024 Feb 28;16(2):e55190. doi: 10.7759/cureus.55190. eCollection 2024 Feb.

DOI:10.7759/cureus.55190
PMID:38425326
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10902607/
Abstract

This study provides a comprehensive overview of the current landscape in drug-resistant tuberculosis research. An extensive electronic search was conducted on PubMed and Scopus databases to identify clinical trials related to drug-resistant tuberculosis. Network analysis and visualization were performed on the data using the Biblioshiny App and VOSviewer software. This bibliometric study focuses on revealing publication trends, leading contributors, key institutions, thematic focuses, and citation patterns. The analysis of research paper publications reveals a consistent upward trajectory over the years, characterized by periodic declines and subsequent surges. Noteworthy peaks in 2013 and 2010 are observed in Scopus and PubMed, respectively, followed by marked declines, particularly notable between 2021 and 2023. PubMed and Scopus data indicate that the United States and South Africa are the leading contributors. According to the PubMed and Scopus databases, the University of Cape Town and Stellenbosch University are the institutions that contribute the most. Keyword and thematic analyses underscore the primary research focuses on drug-resistant tuberculosis (DR-TB), including drug combination therapy, microbiological analysis of sputum, therapeutic uses of antitubercular agents, drug resistance (DR), multidrug resistance (MDR), and . The trend-topic analysis reveals dynamic shifts in research focus over time, transitioning from single-drug therapy to addressing drug resistance and highlighting the emerging need for effective drug therapy in cases of multidrug-resistant tuberculosis. Notably, most research papers on drug-resistant tuberculosis are single-country publications. Citation analysis in the Scopus database indicates that the average citation per year and mean total citation per year peaked during 2005-2006. This suggests a period of heightened impact and recognition within the research community during that timeframe. The study's findings may inform strategic planning for combating drug-resistant tuberculosis, ultimately contributing to future enhanced prevention, diagnosis, and treatment strategies.

摘要

本研究全面概述了耐药结核病研究的当前状况。在PubMed和Scopus数据库上进行了广泛的电子检索,以识别与耐药结核病相关的临床试验。使用Biblioshiny App和VOSviewer软件对数据进行了网络分析和可视化。这项文献计量研究侧重于揭示出版趋势、主要贡献者、关键机构、主题重点和引文模式。对研究论文发表情况的分析显示,多年来呈持续上升趋势,其特点是周期性下降和随后的激增。在Scopus和PubMed中分别观察到2013年和2010年的显著峰值,随后出现明显下降,在2021年至2023年期间尤为明显。PubMed和Scopus数据表明,美国和南非是主要贡献者。根据PubMed和Scopus数据库,开普敦大学和斯泰伦博斯大学是贡献最大的机构。关键词和主题分析强调了耐药结核病(DR-TB)的主要研究重点,包括联合药物治疗、痰液的微生物分析、抗结核药物的治疗用途、耐药性(DR)、多重耐药性(MDR)等。趋势-主题分析揭示了研究重点随时间的动态变化,从单一药物治疗转向解决耐药性问题,并突出了在耐多药结核病病例中对有效药物治疗的新需求。值得注意的是,大多数关于耐药结核病的研究论文都是单国发表。Scopus数据库中的引文分析表明,每年的平均引文数和每年的平均总引文数在2005 - 2006年达到峰值。这表明在该时间段内,该研究领域在研究界的影响力和认可度有所提高。该研究的结果可能为抗击耐药结核病的战略规划提供参考,最终有助于未来加强预防、诊断和治疗策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67be/10902607/260e0016e7de/cureus-0016-00000055190-i19.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67be/10902607/37d85efa42ce/cureus-0016-00000055190-i01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67be/10902607/d7b241f31838/cureus-0016-00000055190-i02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67be/10902607/ff160e032c3a/cureus-0016-00000055190-i03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67be/10902607/6138c1b0e8a5/cureus-0016-00000055190-i04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67be/10902607/7823a75f7373/cureus-0016-00000055190-i05.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67be/10902607/176ce715150e/cureus-0016-00000055190-i06.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67be/10902607/3be0aa82e69a/cureus-0016-00000055190-i07.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67be/10902607/dbf3af1818fa/cureus-0016-00000055190-i08.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67be/10902607/8ecf6cf60657/cureus-0016-00000055190-i09.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67be/10902607/bb68424304dc/cureus-0016-00000055190-i10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67be/10902607/0f5d78c3ebe4/cureus-0016-00000055190-i11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67be/10902607/a6ce222cfadc/cureus-0016-00000055190-i12.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67be/10902607/a5c0f6974d92/cureus-0016-00000055190-i13.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67be/10902607/a2869c17940f/cureus-0016-00000055190-i14.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67be/10902607/31300cbb905c/cureus-0016-00000055190-i15.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67be/10902607/a723da9b4823/cureus-0016-00000055190-i16.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67be/10902607/9394c365ace9/cureus-0016-00000055190-i17.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67be/10902607/d22339f45664/cureus-0016-00000055190-i18.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67be/10902607/260e0016e7de/cureus-0016-00000055190-i19.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67be/10902607/37d85efa42ce/cureus-0016-00000055190-i01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67be/10902607/d7b241f31838/cureus-0016-00000055190-i02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67be/10902607/ff160e032c3a/cureus-0016-00000055190-i03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67be/10902607/6138c1b0e8a5/cureus-0016-00000055190-i04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67be/10902607/7823a75f7373/cureus-0016-00000055190-i05.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67be/10902607/176ce715150e/cureus-0016-00000055190-i06.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67be/10902607/3be0aa82e69a/cureus-0016-00000055190-i07.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67be/10902607/dbf3af1818fa/cureus-0016-00000055190-i08.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67be/10902607/8ecf6cf60657/cureus-0016-00000055190-i09.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67be/10902607/bb68424304dc/cureus-0016-00000055190-i10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67be/10902607/0f5d78c3ebe4/cureus-0016-00000055190-i11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67be/10902607/a6ce222cfadc/cureus-0016-00000055190-i12.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67be/10902607/a5c0f6974d92/cureus-0016-00000055190-i13.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67be/10902607/a2869c17940f/cureus-0016-00000055190-i14.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67be/10902607/31300cbb905c/cureus-0016-00000055190-i15.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67be/10902607/a723da9b4823/cureus-0016-00000055190-i16.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67be/10902607/9394c365ace9/cureus-0016-00000055190-i17.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67be/10902607/d22339f45664/cureus-0016-00000055190-i18.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67be/10902607/260e0016e7de/cureus-0016-00000055190-i19.jpg

相似文献

1
Mapping the Evolution of Clinical Trials on Drug-Resistant Tuberculosis: A Bibliometric Overview (1965-2023).绘制耐多药结核病临床试验的演变图谱:文献计量学综述(1965 - 2023年)
Cureus. 2024 Feb 28;16(2):e55190. doi: 10.7759/cureus.55190. eCollection 2024 Feb.
2
Bibliometric Analysis of Research Papers on Academic Stress (1989-2023).学术压力研究论文的文献计量分析(1989 - 2023年)
Cureus. 2024 Mar 4;16(3):e55536. doi: 10.7759/cureus.55536. eCollection 2024 Mar.
3
Mapping Research Trends of Medications for Multidrug-Resistant Pulmonary Tuberculosis Based on the Co-Occurrence of Specific Semantic Types in the MeSH Tree: A Bibliometric and Visualization-Based Analysis of PubMed Literature (1966-2020).基于 MeSH 树中特定语义类型的共现对耐多药肺结核药物的研究趋势进行映射:对 PubMed 文献(1966-2020 年)进行的文献计量和可视化分析。
Drug Des Devel Ther. 2023 Jul 10;17:2035-2049. doi: 10.2147/DDDT.S409604. eCollection 2023.
4
Folic acid supplementation and malaria susceptibility and severity among people taking antifolate antimalarial drugs in endemic areas.在流行地区,服用抗叶酸抗疟药物的人群中,叶酸补充剂与疟疾易感性和严重程度的关系。
Cochrane Database Syst Rev. 2022 Feb 1;2(2022):CD014217. doi: 10.1002/14651858.CD014217.
5
Bibliometric analysis of worldwide publications on multi-, extensively, and totally drug - resistant tuberculosis (2006-2015).全球多药耐药、广泛耐药和全耐药结核病出版物的文献计量分析(2006 - 2015年)
Multidiscip Respir Med. 2017 Jan 11;11:45. doi: 10.1186/s40248-016-0081-0. eCollection 2016.
6
Bibliometric study of immunotherapy for hepatocellular carcinoma.免疫治疗肝细胞癌的文献计量学研究。
Front Immunol. 2023 Aug 4;14:1210802. doi: 10.3389/fimmu.2023.1210802. eCollection 2023.
7
Bibliometric analysis of global research in palliative care for cervical cancer.宫颈癌姑息治疗全球研究的文献计量分析
Front Oncol. 2024 Aug 26;14:1432805. doi: 10.3389/fonc.2024.1432805. eCollection 2024.
8
Exploring the Bacteriophage Frontier: A Bibliometric Analysis of Clinical Trials Between 1965 and 2024.探索噬菌体前沿:1965年至2024年临床试验的文献计量分析
Cureus. 2024 Mar 16;16(3):e56266. doi: 10.7759/cureus.56266. eCollection 2024 Mar.
9
Tuberculosis结核病
10
[Development of antituberculous drugs: current status and future prospects].[抗结核药物的研发:现状与未来前景]
Kekkaku. 2006 Dec;81(12):753-74.

本文引用的文献

1
The Dark Side of Nosocomial Infections in Critically Ill COVID-19 Patients.危重症 COVID-19 患者医院感染的阴暗面
Life (Basel). 2023 Jun 17;13(6):1408. doi: 10.3390/life13061408.
2
WHO's Global Tuberculosis Report 2022.世界卫生组织《2022年全球结核病报告》。
Lancet Microbe. 2023 Jan;4(1):e20. doi: 10.1016/S2666-5247(22)00359-7. Epub 2022 Dec 12.
3
A Global Bibliometric Analysis on Antibiotic-Resistant Active Pulmonary Tuberculosis over the Last 25 Years (1996-2020).过去25年(1996 - 2020年)耐抗生素活动性肺结核的全球文献计量分析
Antibiotics (Basel). 2022 Jul 27;11(8):1012. doi: 10.3390/antibiotics11081012.
4
A Scopus-Based Bibliometric Analysis of Global Tuberculosis Publications: 1849-2020.基于Scopus的全球结核病出版物文献计量分析:1849 - 2020年
Turk Thorac J. 2022 May;23(3):246-256. doi: 10.5152/TurkThoracJ.2022.21284.
5
Analysis of the Research Hotspot of Drug Treatment of Tuberculosis: A Bibliometric Based on the Top 50 Cited Literatures.基于高被引文献的结核病药物治疗研究热点分析:文献计量学研究。
Biomed Res Int. 2022 Jan 12;2022:9542756. doi: 10.1155/2022/9542756. eCollection 2022.
6
New definitions of pre-extensively and extensively drug-resistant tuberculosis: update from the World Health Organization.广泛耐药结核病和极度耐药结核病的新定义:世界卫生组织的更新内容
Eur Respir J. 2021 Apr 8;57(4). doi: 10.1183/13993003.00361-2021. Print 2021 Apr.
7
The PRISMA 2020 statement: an updated guideline for reporting systematic reviews.《PRISMA 2020声明:报告系统评价的更新指南》
Syst Rev. 2021 Mar 29;10(1):89. doi: 10.1186/s13643-021-01626-4.
8
Global Tuberculosis Report 2020 - Reflections on the Global TB burden, treatment and prevention efforts.2020 年全球结核病报告——对全球结核病负担、治疗和预防工作的反思。
Int J Infect Dis. 2021 Dec;113 Suppl 1(Suppl 1):S7-S12. doi: 10.1016/j.ijid.2021.02.107. Epub 2021 Mar 11.
9
A Trial of a Shorter Regimen for Rifampin-Resistant Tuberculosis.一项针对耐利福平结核病的较短疗程的试验。
N Engl J Med. 2019 Mar 28;380(13):1201-1213. doi: 10.1056/NEJMoa1811867. Epub 2019 Mar 13.
10
Xpert MTB/RIF Ultra for detection of Mycobacterium tuberculosis and rifampicin resistance: a prospective multicentre diagnostic accuracy study.Xpert MTB/RIF Ultra 检测结核分枝杆菌和利福平耐药:一项前瞻性多中心诊断准确性研究。
Lancet Infect Dis. 2018 Jan;18(1):76-84. doi: 10.1016/S1473-3099(17)30691-6. Epub 2017 Nov 30.