Visualization analysis of chemotherapy-induced nausea and vomiting from 2013 to 2023

REN Meng; HE Yana

doi:10.7619/jcmp.20232710

Journal of Clinical Medicine in Practice > 2024 > 28(1): 118-122. > DOI: 10.7619/jcmp.20232710

REN Meng, HE Yana. Visualization analysis of chemotherapy-induced nausea and vomiting from 2013 to 2023[J]. Journal of Clinical Medicine in Practice, 2024, 28(1): 118-122. DOI: 10.7619/jcmp.20232710

Citation:

PDF (2727 KB)

Visualization analysis of chemotherapy-induced nausea and vomiting from 2013 to 2023

REN Meng¹,
HE Yana^2, ,

1.
School of Nursing, Hunan University of Chinese Medicine, Changsha, Hunan, 410208
2.
Bidding and Tendering Center, the First Affiliated Hospital of Hunan University of Chinese Medicine, Changsha, Hunan, 410007

More Information

Received Date: August 27, 2023
Revised Date: November 26, 2023
Available Online: January 22, 2024

Graphical Abstract

Abstract

Abstract

Objective
To investigate the current status and hotspot of chemotherapy-induced nausea and vomiting (CINV) from 2013 to 2023.

Methods
CINV related literature published in China National Knowledge Infrastructure (CNKI) from January 1, 2013 to July 1, 2023 were searched. The literature information was extracted, the institution and keywords were preprocessed, and the visual analysis was carried out by VOSviewer1.6.19 software.

Results
A total of 2 203 literatures were obtained in the initial examination, and 2 198 were finally included after screening. The results show that before 2017, the number of published documents showed an increasing trend year by year, but it had shown a decreasing trend since 2019. The institution with the largest number of publications in CINV field was Guangzhou University of Chinese Medicine, and the authors with the largest number of publications were WANG Fang and NIE Ke, covering clinical medicine, pharmacy, traditional Chinese medicine and nursing. Research frontiers in the past three years included network pharmacology, preventive antiemesis, vomit-free ward as well as cluster care and so on.

Conclusion
CINV is a multidisciplinary research area. In recent years, traditional Chinese medicine prevention and treatment, non-drug intervention have become the research hotspot in this field, and emetic ward, network pharmacology and other aspects may become the new research hotspot in this field.
- chemotherapy,
- nausea,
- vomiting,
- visualized analysis,
- bibliometrics

FullText(HTML)

References (24)

References

[1]	SUNG H, FERLAY J, SIEGEL R L, et al. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries[J]. CA Cancer J Clin, 2021, 71(3): 209-249. doi: 10.3322/caac.21660
[2]	倪宏, 刘玉, 覃惠英, 等. 化疗相关性恶心呕吐的非药物干预研究进展[J]. 护理研究, 2020, 34(20): 3674-3677. doi: 10.12102/j.issn.1009-6493.2020.20.021
[3]	EINHORN L H, RAPOPORT B, NAVARI R M, et al. 2016 updated MASCC/ESMO consensus recommendations: prevention of nausea and vomiting following multiple-day chemotherapy, high-dose chemotherapy, and breakthrough nausea and vomiting[J]. Support Care Cancer, 2017, 25(1): 303-308. doi: 10.1007/s00520-016-3449-y
[4]	陆俊, 倪龚柳. 益胃消癌汤联合化疗对进展期胃癌患者不良反应、生存率及效果的影响[J]. 中华保健医学杂志, 2023, 25(3): 349-350. doi: 10.3969/j.issn.1674-3245.2023.03.030
[5]	VAN ECK N J, WALTMAN L. Software survey: VOSviewer, a computer program for bibliometric mapping[J]. Scientometrics, 2010, 84(2): 523-538. doi: 10.1007/s11192-009-0146-3
[6]	CHEN C M. CiteSpace II: detecting and visualizing emerging trends and transient patterns in scientific literature[J]. J Am Soc Inf Sci Technol, 2006, 57(3): 359-377. doi: 10.1002/asi.20317
[7]	肖慧明. Python技术在数据可视化中的研究综述[J]. 电子测试, 2021(13): 87-89. doi: 10.3969/j.issn.1000-8519.2021.13.029
[8]	刘坤, 陈宏君, 陈州, 等. 可视化编程软件SophicAccel1. 0设计与实现[J]. 工业控制计算机, 2023, 36(6): 35-38.
[9]	秦奋, 宋妙茹, 高健. 数字资源长期保存研究进展及热点分析: 基于R语言可视化视角[J]. 图书馆工作与研究, 2023(6): 58-67.
[10]	朱爽, 刘文娜, 李新龙, 等. 黄连温胆汤研究热点和前沿可视化分析[J]. 中国中医药信息杂志, 2023, 30(3): 20-24.
[11]	陈晓娜, 刘宁, 郑培永, 等. 基于VOSviewer的2019新型冠状病毒病中医临床诊疗可视化分析[J]. 世界科学技术-中医药现代化, 2020, 22(10): 3461-3471.
[12]	连妍洁, 商钰, 刘红旭, 等. 基于VOSviewer和CiteSpace知识图谱的水蛭可视化分析[J]. 中草药, 2023, 54(6): 1896-1905.
[13]	景城阳, 胡晶, 廖星, 等. 病历回顾性研究的可视化分析及方法学刍议[J]. 中国循证医学杂志, 2023, 23(5): 588-600.
[14]	羌曹霞. 中医药联合化疗治疗肿瘤的增效减毒效果[J]. 中国医药工业杂志, 2023, 54(5): 809-809.
[15]	郭婧. 同理心联合人性化护理对乳腺癌患者化疗期间情绪及生活质量的影响[J]. 黑龙江医学, 2023, 47(12): 1507-1510.
[16]	雷腾腾, 贺宝霞, 张俊丽. 穴位针刺疗法联合昂丹司琼治疗乳腺癌术后化疗相关性恶心呕吐的临床效果[J]. 河南医学研究, 2023, 32(9): 1678-1681. doi: 10.3969/j.issn.1004-437X.2023.09.034
[17]	杨飞, 石丽, 张爱连. 帕洛诺司琼、奥美拉唑配合地塞米松对预防恶性肿瘤化疗所致恶心呕吐的应用[J]. 基层医学论坛, 2023, 27(17): 27-29.
[18]	Committe of Neoplastic Supportive-care, Chinese Anti-cancer Association. 延迟性恶心呕吐防治中国专家共识(2022年版)[J]. 临床肿瘤学杂志, 2023, 28(5): 442-458.
[19]	韩斯宇, 廖秀秀, 赵耀中, 等. 中医药防治化疗性恶心呕吐的CiteSpace知识图谱分析[J]. 广东药科大学学报, 2023, 39(2): 94-105.
[20]	曹家燕, 李红, 陈昌连, 等. 护士主导的标准化无呕吐管理模式在头颈部鳞癌化疗患者中的应用[J]. 天津护理, 2023, 31(4): 399-403.
[21]	沈欣怡, 王俊辉, 陈肖敏. 国内无呕吐病房管理模式在改善化疗所致恶心呕吐中的研究进展[J]. 中国乡村医药, 2023, 30(16): 68-70.
[22]	谭蕾, 刘翔宇, 韦迪, 等. 肺癌化疗无呕病房护理工作模式的建立与成效[J]. 中国护理管理, 2017, 17(2): 244-248.
[23]	蒋周扬, 叶楠, 金军官. 无呕病房全流程管理信息支撑体系建设的探索和实践[J]. 中医药管理杂志, 2023, 31(13): 183-185.
[24]	陈翠丽, 刘芳, 周如婷. CINV分级护理对乳腺癌术后化疗患者营养状态、不良反应和疾病获益感的影响[J]. 全科医学临床与教育, 2023, 21(8): 767-768.

[1]	LI Xiaoyu, ZHANG Yongyong, QIN Juan, YANG Zhongxin. Changes of serological indexes and prognosis of acute coronary syndrome patients after percutaneous coronary intervention[J]. Journal of Clinical Medicine in Practice, 2023, 27(23): 60-62, 67. DOI: 10.7619/jcmp.20231532
[2]	SHA Feiyan, CHEN Peipei, LI Wen, XIE Renbing. Values of CHA2DS2-VASc score and Global Registry of Acute Coronary Events risk score in predicting poor prognosis of patients with atrial fibrillation after percutaneous coronary intervention[J]. Journal of Clinical Medicine in Practice, 2023, 27(3): 46-51. DOI: 10.7619/jcmp.20222276
[3]	LIU Yanqi, ZHENG Guanqun, CHEN Zhixian, JIN Xiaoqi, SHENG Xiaodong, WANG Zhiqiang. Correlation between plasma trimethylamine-N-oxide and coronary heart disease and its effect on the prognosis of patients with coronary heart disease[J]. Journal of Clinical Medicine in Practice, 2022, 26(24): 90-96. DOI: 10.7619/jcmp.20221667
[4]	LIANG Jing, HE Xueling, TANG Qian, TU Chongfang, QIAN Kun, LIU Hui. Relationships between red blood cell distribution width and in-stent restenosis as well as prognosis after percutaneous coronary intervention[J]. Journal of Clinical Medicine in Practice, 2021, 25(21): 63-66, 73. DOI: 10.7619/jcmp.20213620
[5]	GONG Xiaoyong, HU Xiaowei, HE Fei, HU Jianping. Correlations between serum levels of brain natriuretic peptide, hypersensitive C-reactive protein as well as creatine kinase isoenzyme and prognosis of patients after percutaneous coronary intervention[J]. Journal of Clinical Medicine in Practice, 2021, 25(11): 72-76. DOI: 10.7619/jcmp.20211053
[6]	SUN Huimin. Effect of rehabilitation nursing on postoperative recovery of coronary heart disease patients with percutaneous coronary intervention[J]. Journal of Clinical Medicine in Practice, 2019, 23(14): 56-58,79. DOI: 10.7619/jcmp.201914015
[7]	MENG Xiaofeng, SUI Shihua, SU Hao. Comparison in therapeutic effects and prognosis of interventional therapy in coronary heart disease patients with different blood glucose levels[J]. Journal of Clinical Medicine in Practice, 2016, (13): 1-4. DOI: 10.7619/jcmp.201613001
[8]	WANG Yanhua. Clinical significance of changes in levels of high sensitive C-reactive protein and cardiac troponin-T in patients with coronary heart disease after percutaneous coronary intervention[J]. Journal of Clinical Medicine in Practice, 2015, (7): 29-31. DOI: 10.7619/jcmp.201507007
[9]	WANG Di. Relationship of hs-CRP with severity of coronary atherosclerosis and prognosis in coronary heart disease[J]. Journal of Clinical Medicine in Practice, 2013, (15): 96-97,102. DOI: 10.7619/jcmp.201315035
[10]	ZHANG Ying, QIN Shu, ZHANG Dongyin, WANG Kechun. Relationship between high-sensitivity C-reactive protein and the severity and prognosis of coronary atherosclerosis of coronary heart disease[J]. Journal of Clinical Medicine in Practice, 2012, (23): 45-48.

Cited By

Cited by

Periodical cited type(2)

1.	姬林娟，田欣，芮涛，姚永伟. 白细胞与红细胞比容比值对急性ST段抬高型心肌梗死再灌注治疗后院内主要不良心血管事件的预测价值. 实用临床医药杂志. 2024(15): 14-18+25 . 本站查看
2.	莫妮娜. 冠心病冠状动脉介入术患者心功能改变及相关影响因素. 吉林医学. 2022(11): 2943-2946 .

Other cited types(1)

Get Citation

PDF

XML

Article views (148) PDF downloads (11) Cited by(3)

Turn off MathJax

Article Contents

Abstract

References

Visualization analysis of chemotherapy-induced nausea and vomiting from 2013 to 2023