A 10-year bibliometric analysis of osteosarcoma and cure from 2010 to 2019

骨肉瘤 医学 引用 临床试验 文献计量学 内科学 图书馆学 计算机科学 病理
作者
Wacili Da,Zhengbo Tao,Yan Meng,Kaicheng Wen,Siming Zhou,Keda Yang,Lin Tao
出处
期刊:BMC Cancer [BioMed Central]
卷期号:21 (1) 被引量:36
标识
DOI:10.1186/s12885-021-07818-4
摘要

Abstract Background In recent decades, the 5-year survival rate of osteosarcoma remains poor, despite the variety of operations, and exploration of drug therapy has become the key to improvement. This study investigates the contribution of different aspects in osteosarcoma and cure, and predicts research hotspots to benefit future clinical outcomes. Methods The Web of Science and PubMed databases were queried to collect all relevant publications related to osteosarcoma and cure from 2009 to 2019. These data were imported into CiteSpace and the Online Analysis Platform of Literature Metrology for bibliometric analysis. Bi-clustering was performed on Bibliographic Item co-occurrence Matrix Builder (BICOMB) and gCLUTO to identify hotspots. Additionally, completed clinical trials on osteosarcoma with results past phase II were collated. Results A total of 2258 publications were identified in osteosarcoma and cure from 2009 to 2019. China has the largest number of publications (38.49%), followed by the United States (23.03%) with the greatest impact (centrality = 0.44). The centrality of most institutions is < 0.1, and Central South University and Texas MD Anderson Cancer Center possess the highest average citation rates of 3.25 and 2.87. BMC cancer has the highest average citation rate of 3.26 in 772 journals. Four authors (Picci P, Gorlick R, Bielack SS and Bacci G) made the best contributions. We also identified eight hotspots and collected 41 clinical trials related to drug research on osteosarcoma. Conclusions The urgent need exists to strengthen global academic exchanges. Overcoming multidrug resistance in osteosarcoma is the focus of past, present and future investigations. Transformation of the metastasis pattern, microenvironment genetics mechanism, alternative methods of systemic chemotherapy and exploration of traditional Chinese medicine is expected to contribute to a new upsurge of research.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
不懈奋进应助现代白玉采纳,获得30
刚刚
生动的友卉完成签到,获得积分20
刚刚
丘比特应助Yara.H采纳,获得10
2秒前
俊逸语风发布了新的文献求助10
3秒前
宜醉宜游宜睡应助小蚂蚁采纳,获得10
3秒前
WJY完成签到 ,获得积分10
3秒前
4秒前
4秒前
炙热从蕾发布了新的文献求助10
6秒前
7秒前
8秒前
不关橙猫猫的事哦完成签到,获得积分10
8秒前
邓宇彤发布了新的文献求助10
9秒前
9秒前
无限延恶发布了新的文献求助30
10秒前
飞蚁完成签到 ,获得积分10
10秒前
hbq完成签到,获得积分10
12秒前
烟花应助Sledge采纳,获得10
12秒前
希望天下0贩的0应助科研采纳,获得10
12秒前
六书院发布了新的文献求助30
12秒前
rrrryym完成签到,获得积分10
13秒前
13秒前
Nole应助五六七采纳,获得10
13秒前
oreo发布了新的文献求助10
13秒前
大个应助nanjiing卞雪芹采纳,获得10
15秒前
15秒前
闪闪亦寒完成签到,获得积分10
15秒前
18秒前
小熊枕头完成签到,获得积分10
18秒前
叶子宁完成签到,获得积分10
19秒前
17835152738完成签到,获得积分10
20秒前
在水一方应助K丶口袋采纳,获得10
21秒前
21秒前
crow完成签到,获得积分10
21秒前
HEYATIAN发布了新的文献求助10
22秒前
完美世界应助龙成阳采纳,获得10
24秒前
27秒前
28秒前
曾兽发布了新的文献求助10
28秒前
HH完成签到,获得积分10
28秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Arthritis and Related Conditions, An Issue of Orthopedic Clinics 1000
Development of a Bridge Weigh-In-Motion System: A technology to convert the bridge response to the passage of traffic into data on vehicle configurations, speeds, times of travel and weights 1000
ズームレンズの光学設計に関する研究 800
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 700
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7287753
求助须知:如何正确求助?哪些是违规求助? 8907489
关于积分的说明 18851617
捐赠科研通 6956514
什么是DOI,文献DOI怎么找? 3208711
关于科研通互助平台的介绍 2378546
邀请新用户注册赠送积分活动 2184481