亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Pre-operative denosumab is associated with higher risk of local recurrence in giant cell tumor of bone: a systematic review and meta-analysis

作者
Xi Chen,Hairui Li,Shibai Zhu,Yiou Wang,Wenwei Qian
出处
期刊:BMC Musculoskeletal Disorders [BioMed Central]
卷期号:21 (1): 256-256 被引量:40
标识
DOI:10.1186/s12891-020-03294-2
摘要

BACKGROUND: In 2013, denosumab was introduced as peri-operative adjuvant treatment for giant cell tumor (GCT) of bone as it inhibits osteoclast activity. It is suggested that denosumab relives pain, facilitate curettage in lesions requiring resection initially. However, controversy remains whether denosumab increases the risk of local recurrence after surgery. METHODS: Medline, Embase and the Cochrane Library were comprehensively searched in June 2019 to identify studies investigating the clinical outcome of GCT of bone with and without peri-operative denosumab after surgery. Data were gathered and a meta-analysis was conducted. RESULT: Ten studies with 1082 cases (169 in denosumab group, 913 in control group) were included. Overall, denosumab was associated with significantly higher risk of recurrence(P < 0.02) and inferior 5 year recurrence free survival(P = 0.000). Denosumab and curettage has a relatively higher risk of recurrence comparing to curettage alone(P = 0.07). The risk of recurrence is not significantly increased if denosumab was administered both preoperatively and postoperatively(P = 0.24). CONCLUSION: Administration of denosumab is associated with increased risk of recurrence due to a variety of reasons, though it is proven effective in relieving pain, enabling curettage and improved functional outcome. Post-operative denosumab is recommended as it continuously suppress/eliminate residue tumor cells.

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
xx完成签到,获得积分10
5秒前
温婉的乐荷完成签到,获得积分10
6秒前
科研通AI6.2应助didi采纳,获得100
12秒前
Hello应助zeven采纳,获得10
14秒前
搜集达人应助归苗采纳,获得10
16秒前
渡人舟应助初景采纳,获得10
21秒前
yuchuncheng完成签到,获得积分10
32秒前
妮妮完成签到 ,获得积分10
33秒前
凉宫八月完成签到,获得积分10
38秒前
在水一方应助yat采纳,获得10
41秒前
42秒前
无情幻巧完成签到,获得积分10
43秒前
44秒前
隋尚洁发布了新的文献求助10
44秒前
科研通AI6.2应助2736242930采纳,获得10
45秒前
zeven发布了新的文献求助10
46秒前
chi完成签到,获得积分10
49秒前
沫雨发布了新的文献求助20
50秒前
52秒前
青梅煮酒完成签到,获得积分10
58秒前
yat发布了新的文献求助10
59秒前
科研通AI6.3应助点点采纳,获得10
1分钟前
Suraim完成签到,获得积分10
1分钟前
海棠完成签到 ,获得积分10
1分钟前
1分钟前
七七完成签到 ,获得积分10
1分钟前
科研通AI6.2应助ban采纳,获得10
1分钟前
1分钟前
小蘑菇应助科研通管家采纳,获得10
1分钟前
上上签发布了新的文献求助10
1分钟前
光亮的成败完成签到,获得积分10
1分钟前
隋尚洁发布了新的文献求助10
1分钟前
1分钟前
津门霍元甲完成签到 ,获得积分10
1分钟前
111完成签到 ,获得积分10
1分钟前
flysteven92完成签到 ,获得积分10
1分钟前
点点发布了新的文献求助10
1分钟前
科研通AI6.2应助ban采纳,获得10
1分钟前
沫雨完成签到,获得积分10
1分钟前
shushu完成签到 ,获得积分10
1分钟前
高分求助中
(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
Römisch-Germanische Forschungen 1000
APA handbook of comparative psychology: Basic concepts, methods, neural substrate, and behavior 1000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
Electric machines: theory, operating applications, and controls 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
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 7604858
求助须知:如何正确求助?哪些是违规求助? 9180824
关于积分的说明 19662118
捐赠科研通 7179780
什么是DOI,文献DOI怎么找? 3269480
关于科研通互助平台的介绍 2433414
邀请新用户注册赠送积分活动 2263518