The Effect of Induction Therapy on Antibody-Mediated Rejection in Kidney Transplantation: A Network Meta-Analysis Using Recent Data

巴利昔单抗 阿勒姆图祖马 肾移植 移植 医学 养生 达利珠单抗 外科 内科学 他克莫司
作者
Jin Ho Lee,Heeryong Lee,Kipyo Kim,Seoung Woo Lee,Joon Ho Song,Seun Deuk Hwang
出处
期刊:Transplantation Proceedings [Elsevier BV]
卷期号:56 (3): 530-533
标识
DOI:10.1016/j.transproceed.2024.01.021
摘要

Various induction regimens are available for kidney transplantation (KT); however, which is superior remains unclear. Moreover, although the induction regimens are effective and important for reducing side effects, their respective relationships with antibody-mediated rejection (AMR) after transplantation remain unclear. Therefore, this study aimed to elucidate the most effective induction regimen for AMR reduction through network analysis. We performed a comprehensive search of databases, including basiliximab, alemtuzumab, antithymocyte globulin (ATG), and daclizumab as induction regimens for KT from inception to September 1, 2022. Using a network meta-analysis, we investigated the priorities of 5 induction regimens for patient survival, graft failure, and graft rejection after ABO-incompatible KT. In total, 25 studies comprising 1768 people were included in this network meta-analysis. The primary outcome was the AMR rate of other induction regimens compared with that of basiliximab, whereas the secondary outcomes were heart failure, stroke, hospitalization, peripheral artery disease, myocardial infarction, anemia, leukopenia, herpes zoster, or adverse events. Notably, ATG reduced the AMR rate by 59% (odds ratio, 0.41; 95% credible interval, 0.20-0.90), whereas the other drugs did not show statistical significance. Furthermore, secondary outcomes did not significantly differ between the induction regimens. ATG is widely used in KT induction regimens. Our results showed that ATG reduced the risk of AMR in KT recipients when compared with other induction drugs; therefore, it appears to be an efficient choice of induction regimen to reduce AMR after KT.
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
刚刚
qio一眼发布了新的文献求助10
1秒前
谦让的含海完成签到,获得积分10
1秒前
叭叭发布了新的文献求助10
1秒前
1秒前
旺旺小小酥完成签到,获得积分10
2秒前
柳如烟发布了新的文献求助50
3秒前
椰子糖发布了新的文献求助10
4秒前
所所应助老唐采纳,获得10
4秒前
枫泾发布了新的文献求助10
4秒前
斯文墨镜完成签到,获得积分10
5秒前
wxy应助橙子采纳,获得20
5秒前
5秒前
6秒前
小果叮完成签到,获得积分10
6秒前
年轻的笙完成签到,获得积分10
6秒前
6秒前
夕荀发布了新的文献求助10
7秒前
8秒前
思源应助coolkid采纳,获得10
8秒前
8秒前
城南发布了新的文献求助10
8秒前
椰子糖完成签到,获得积分10
10秒前
Jie发布了新的文献求助10
11秒前
GSQ发布了新的文献求助10
12秒前
13秒前
feiying88发布了新的文献求助10
13秒前
LB发布了新的文献求助10
14秒前
16秒前
17秒前
香蕉觅云应助GSQ采纳,获得10
18秒前
科研通AI5应助科研通管家采纳,获得30
19秒前
脑洞疼应助科研通管家采纳,获得10
19秒前
111应助科研通管家采纳,获得10
19秒前
天天快乐应助科研通管家采纳,获得10
19秒前
情怀应助科研通管家采纳,获得10
19秒前
lingxi1296应助科研通管家采纳,获得10
19秒前
兔兔应助科研通管家采纳,获得10
19秒前
方寸应助吴未采纳,获得10
19秒前
小马甲应助科研通管家采纳,获得10
20秒前
高分求助中
Worked Bone, Antler, Ivory, and Keratinous Materials 1000
Mass producing individuality 600
Algorithmic Mathematics in Machine Learning 500
Разработка метода ускоренного контроля качества электрохромных устройств 500
Getting Published in SSCI Journals: 200+ Questions and Answers for Absolute Beginners 300
Advances in Underwater Acoustics, Structural Acoustics, and Computational Methodologies 300
Limes XXIII Sonderband 4 / II Proceedings of the 23rd International Congress of Roman Frontier Studies Ingolstadt 2015 200
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3829200
求助须知:如何正确求助?哪些是违规求助? 3371893
关于积分的说明 10469615
捐赠科研通 3091524
什么是DOI,文献DOI怎么找? 1701149
邀请新用户注册赠送积分活动 818199
科研通“疑难数据库(出版商)”最低求助积分说明 770753