Golrokhian-Sani Amir-Ali, Morcos Maya, Philippi Alecco, Al-Rawi Reem, Morcos Marc, Fu Rui
Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada.
Faculty of Health Sciences, Queen's University, Kingston, Ontario, Canada.
PLoS One. 2024 Dec 30;19(12):e0310264. doi: 10.1371/journal.pone.0310264. eCollection 2024.
Despite several studies having correlated Alzheimer's disease with mental health conditions, the extent to which they have been incorporated into Alzheimer's disease clinical trials remains unclear.
This study aimed to assess the temporal trends in mental health-related terminology in Alzheimer's disease clinical trials as a proxy measure of research interest. Additionally, it sought to determine the effect of the COVID-19 pandemic on the frequency of these terms through pre-pandemic and post-pandemic trend assessment.
In this retrospective descriptive analysis, we included 2243 trials with a start date between 1988 and 2022 by searching for the keyword "Alzheimer Disease" in the U.S. National Library of Medicine ClinicaTrials.gov database. A Python program was created to extract and count the frequency of four mental health terms (loneliness, depression, anxiety, and distress) by year and trial status (e.g., completed, active, recruiting). Binary logistic regression analyses were conducted to examine the yearly patterns in the appearance of the four mental health terms. A multivariable logistic regression analysis was performed to identify trial characteristics associated with each mental health term.
Our results depicted a statistically significant increasing trend in three (i.e., loneliness, anxiety, distress) of the four mental health conditions by year. A comparison between pre-pandemic and post-pandemic trials showed an increase in the mention of the same three words over time.
These results may suggest a growing awareness of mental health conditions and a greater interest in considering these conditions in Alzheimer's disease trials, particularly after the onset of COVID-19. Future researchers should conduct more in-depth analyses to examine how mental health variables are operationalized in these trials, with consideration for their subsequent success.
尽管多项研究已将阿尔茨海默病与心理健康状况相关联,但它们在阿尔茨海默病临床试验中的纳入程度仍不明确。
本研究旨在评估阿尔茨海默病临床试验中与心理健康相关术语的时间趋势,作为研究兴趣的替代指标。此外,通过大流行前和大流行后的趋势评估,试图确定2019冠状病毒病大流行对这些术语出现频率的影响。
在这项回顾性描述性分析中,我们通过在美国国立医学图书馆的ClinicalTrials.gov数据库中搜索关键词“阿尔茨海默病”,纳入了2243项开始日期在1988年至2022年之间的试验。创建了一个Python程序,按年份和试验状态(如完成、活跃、招募)提取并统计四个心理健康术语(孤独、抑郁、焦虑和痛苦)的出现频率。进行二元逻辑回归分析,以检验这四个心理健康术语出现的年度模式。进行多变量逻辑回归分析,以确定与每个心理健康术语相关的试验特征。
我们的结果显示,四个心理健康状况中的三个(即孤独、焦虑、痛苦)按年份呈现出统计学上显著的上升趋势。大流行前和大流行后试验的比较显示,随着时间的推移,这三个相同词汇的提及有所增加。
这些结果可能表明对心理健康状况的认识不断提高,以及在阿尔茨海默病试验中考虑这些状况的兴趣日益浓厚,尤其是在2019冠状病毒病爆发之后。未来的研究人员应进行更深入的分析,以研究这些试验中如何对心理健康变量进行操作化,并考虑其后续的成功情况。