癌症幸存者的抑郁风险预测模型:系统性审查和元分析
Haonan Xu1,2,3, Wenqiang Tang1,2,3, Yuwen Liang1,2,3
1Department of Oncology, NHC Key Laboratory of Nuclear Technology Medical Transformation (Mianyang Central Hospital), Mianyang Central Hospital, School of Medicine, University of Electronic Science and Technology, Mianyang, People's Republic of China.
Medicine
|August 27, 2025
概括
癌症幸存者的抑郁症风险预测模型处于早期发展阶段,目前的研究显示偏差风险很高. 需要进一步的研究来提高这些重要的抑郁症预测工具的质量和可靠性.
科学领域:
- 癌症学
- 精神病学
- 生物统计学
背景情况:
- 抑郁症是癌症幸存者的重要问题.
- 准确的风险预测模型对于早期干预和管理至关重要.
研究的目的:
- 系统地评估现有的癌症幸存者的抑郁风险预测模型.
- 为这些模型的开发和增强提供指导.
主要方法:
- 在多个数据库 (CNKI,Wanfang,Sinmed,PubMed,Web of Science,Cochrane Library,Embase) 进行了全面的文献搜索,以查看在2024年7月1日之前发表的研究.
- 使用预测模型偏差风险评估工具 (PROBAST) 来评估研究质量.
- 使用Stata 15软件进行了元分析,以评估预测变量,曲线下的面积 (AUC) 和C指数.
主要成果:
- 包括七个预测模型在内的七项研究被纳入了审查.
- 所有的研究都被PROBAST评为具有偏差的高风险,但适用性被认为是良好的.
- 分析显示AUC为0. 705 (95% CI: 0. 691- 0. 718) 和C指数为0. 833 (95% CI: 0. 814- 0. 852),具有显著的异质性.
结论:
- 目前癌症幸存者的抑郁风险预测模型处于研究和开发的早期阶段.
- 这一领域的研究质量需要大幅提高.
- 需要加强模型开发和验证,以提高临床效用.
相关概念视频
Cancer Survival Analysis
453
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...
453
Depressive Disorders: Etiology
166
Depressive disorders result from a complex interplay of biological, psychological, and sociocultural factors, each contributing uniquely to the development and persistence of the condition. Understanding these factors provides critical insight into the multifaceted nature of depression.
Biological Factors in Depression
Biological predispositions significantly influence the risk of developing depressive disorders. Genetic studies highlight the role of variations in the serotonin transporter...
Biological Factors in Depression
Biological predispositions significantly influence the risk of developing depressive disorders. Genetic studies highlight the role of variations in the serotonin transporter...
166
Comparing the Survival Analysis of Two or More Groups
285
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...
285
Depression: Overview
332
Depression is a prevalent mental illness marked by persistent sadness and lack of interest in previously enjoyable activities. It can take several forms, including major depression, persistent depressive disorder, and bipolar I and II disorders. Symptoms range from emotional changes like chronic worry to physical changes like sleep disturbances and suicidal thoughts. From a neurobiological perspective, depression is believed to be triggered by abnormalities in the brain's prefrontal cortex,...
332
Hazard Ratio
243
The hazard ratio (HR) is a widely used measure in clinical trials to compare the risk of events, such as death or disease recurrence, between two groups over time. It reflects the ratio of hazard rates—the instantaneous risk of the event occurring—between a treatment group and a control group. This measure provides valuable insights into the relative effectiveness of a treatment by assessing how the risk of an event differs between the two groups.
For example, in a clinical trial...
For example, in a clinical trial...
243
Mouse Models of Cancer Study
5.7K
Mice have long served as models for studying human biology and pathology because of their phylogenetic and physiological similarity with humans. They are also easy to maintain and breed in the laboratory, and hence, many inbred strains are now available for research. Studies on mice have contributed immeasurably to our understanding of cancer biology.
The development of transgenic, knockout, and knock-in mice has led to an exponential increase in their use as model organisms in research,...
The development of transgenic, knockout, and knock-in mice has led to an exponential increase in their use as model organisms in research,...
5.7K


