相关实验视频
Updated: Jul 8, 2025

08:47
Oral Health Assessment by Lay Personnel for Older Adults
Published on: February 2, 2020
12.8K
瘤学中的老年评估方法及其在临床研究中的使用:一个系统的文献综述
Amelie Stueger1, Markus Joerger2, Katelijne De Nys3
1Faculty of Medicine, University of Basel, Klingelbergstrasse 61, 4056 Basel, Switzerland.
Journal of geriatric oncology
|December 10, 2023
概括
老年评估 (GE) 方法对于临床试验中老年癌症患者至关重要. 需要标准化GE工具来提高试验的可比性,并为这种多样化的群体提供临床决策的帮助.
科学领域:
- 在瘤学瘤学.
- 老年病的医生 老年病的医生
- 临床试验 临床试验
背景情况:
- 老年人在瘤学临床试验中代表性不足.
- 招募的老年患者通常健康状况比平均水平更好,这限制了概括性.
- 迫切需要统一的脆弱性分类和代表性证据.
研究的目的:
- 审查老年评估 (GE) 方法在临床癌症研究中的使用.
- 识别常用的GE方法及其应用.
- 评估GE在优化老年癌症患者药物治疗方面的潜力.
主要方法:
- 在PubMed数据库的文献综述.
- 包括使用癌症患者定义的GE系统进行的临床药物治疗研究.
- 提取了关于GE方法,癌症类型,药物治疗,患者数量,研究类型和GE目的的数据.
主要成果:
- 有103个出版物被选中.
- 36%的人使用了特定于研究的,未经验证的GE方法.
- 确定了标准化方法,如G8 (18%),Balducci评分 (7%),和基于Hurria的评估 (5%).
- GE的主要目的是药物治疗优化,也用于基线/结果测量和试验设计.
结论:
- 多种多样的GE方法阻碍了直接比较.
- 许多GE方法的特征不佳或未经验证.
- 标准化GE和包括代表性的老年患者对于临床决策至关重要.
相关概念视频
Cancer Survival Analysis
355
Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
355
Nursing Evaluation
3.3K
The evaluation stage signals the end of the nursing process. The nurse gathers evaluative data to assess whether or not the patient has attained the expected results. Whereas the nurse collects data in the nursing assessment to identify the patient's health concerns, the evaluation stage data determines if the indicated health issues are resolved. Evaluative data collection includes two sections: the data acquired to evaluate patient outcomes and the time criteria for data collection.
3.3K
Clinical Trials
6.7K
Clinical trials are prospective experimental studies conducted on humans to determine the safety and efficacy of treatments, drugs, diet methods, and medical devices. Using statistics in clinical trials enables researchers to derive reasonable and accurate conclusions from the collected data, allowing them to make wise decisions in uncertain situations. In medical research, statistical methods are crucial for preventing errors and bias.
There are four phases in a clinical trial. A phase one...
There are four phases in a clinical trial. A phase one...
6.7K
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
130
Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
130
Actuarial Approach
79
The actuarial approach, a statistical method originally developed for life insurance risk assessment, is widely used to calculate survival rates in clinical and population studies. This method accounts for participants lost to follow-up or those who die from causes unrelated to the study, ensuring a more accurate representation of survival probabilities.
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
79
Comparing the Survival Analysis of Two or More Groups
195
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...
195

