影响儿童移植中移植存活率的捐赠者风险因素:系统审查和元分析协议
Cahyani Gita Ambarsari1,2,3, Jon Jin Kim4,5, Nur Hasnah Maamor6
1School of Medicine University of Nottingham, University Park, Nottingham, NG7 2RD, United Kingdom, 44 (0)115 951 5151, 44 (0)115 951 3666.
JMIR research protocols
|February 12, 2026
概括
本系统性审查分析了影响儿科移植 (KTs) 中移植存活率的捐赠者风险因素. 了解这些因素对于改善需要移植的儿童的长期结果至关重要.
科学领域:
- 儿科脏病学 儿科脏病学
- 移植手术 移植手术
- 生物统计学 生物统计学
背景情况:
- 儿科末期脏疾病需要终身脏移植 (KTs).
- 长期的移植存活取决于捐赠者和接受者因素.
- 由于移植护理和捐赠者人口统计的不断变化,对捐赠者风险因素的最新分析至关重要.
研究的目的:
- 系统地审查和分析影响小儿移植中移植存活率的与捐赠者相关的风险因素.
- 排除在循环死亡 (DCD) 移植后的捐赠,因为它们在儿科病例中的发病率较低.
主要方法:
- 系统审查和对对儿科KTs的捐赠者风险因素的研究的元分析.
- 包括捐赠者的年龄,体型,并发症,种族,死亡原因和住院时间.
- 在PubMed,Scopus,Web of Science,Embase和Cochrane数据库中进行文献搜索.
- 两位独立审稿人的研究选择和质量评估.
- 使用Stata/BE软件进行聚合估计的随机效应模型.
- 报告时必须遵守PRISMA指导方针.
主要成果:
- 该审查将综合有关影响儿科KT移植存活率的脏捐赠者风险因素的证据.
- 预计在2026年6月之前完成搜索和选.
- 从2026年7月到10月进行数据提取,质量评估和合成.
- 预计将在2027年公布结果.
结论:
- 本综述提供了关于儿科KTs中脏捐赠者的风险因素的证据的综合综述.
- 结果将为临床决策和政策制定提供信息.
- 这项研究旨在改善患有需要移植的末期病的儿科患者的治疗结果.
相关概念视频
01:26Factors Affecting the Risk of Infection
13.9K
The hosts' susceptibility to infection depends on several factors. The integrity of the skin and mucous membranes helps protect the body against microbial attacks. When the skin is altered, the chance of infection, limb loss, and even death increases.
The integrity and count of the white blood cells help the body resist pathogens and fight infection. When impaired, it reduces the body's resistance to pathogens. The acidic pH levels of the gastrointestinal, genitourinary tracts, and skin...
The integrity and count of the white blood cells help the body resist pathogens and fight infection. When impaired, it reduces the body's resistance to pathogens. The acidic pH levels of the gastrointestinal, genitourinary tracts, and skin...
13.9K
01:24Drug Toxicity: Risk factors
2
Adverse Drug Reactions (ADRs) are potential complications that arise during pharmacotherapy, influenced by multiple risk factors. Age plays a significant role; both neonates and the elderly are at heightened risk due to their respective immature and diminished metabolic and elimination processes. Gender also impacts ADRs, with females experiencing a 1.5 to 1.7-fold greater risk than males, which may be linked to pharmacokinetic, pharmacodynamic, and hormonal differences. Notably, neonates, the...
2
01:28Kidney Transplant I: Introduction
504
A kidney transplant is a surgical approach that involves replacing a non-functioning kidney with a healthy one from a donor. This procedure is often a treatment option for end-stage renal disease (ESRD) patients. The method requires careful recipient selection, including evaluating various medical and psychosocial factors. These criteria vary between transplant centers but generally include assessments of the patient's overall health, adherence to medical recommendations, and lifestyle...
504
01:18Introduction To Survival Analysis
840
Survival analysis is a statistical method used to study time-to-event data, where the "event" might represent outcomes like death, disease relapse, system failure, or recovery. A unique feature of survival data is censoring, which occurs when the event of interest has not been observed for some individuals during the study period. This requires specialized techniques to handle incomplete data effectively.
The primary goal of survival analysis is to estimate survival time—the time...
The primary goal of survival analysis is to estimate survival time—the time...
840
01:20Comparing the Survival Analysis of Two or More Groups
618
Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
618
01:09Truncation in Survival Analysis
639
Truncation in survival analysis refers to the exclusion of individuals or events from the dataset based on specific criteria related to the time of the event. This exclusion can happen in two primary forms: left truncation and right truncation.
Left truncation occurs when individuals who experienced the event of interest before a certain time are not included in the study. This is often due to a "delayed entry" into the study where only those who survive until a certain entry point are...
Left truncation occurs when individuals who experienced the event of interest before a certain time are not included in the study. This is often due to a "delayed entry" into the study where only those who survive until a certain entry point are...
639