Improving Insight and Application: A Commentary on the Link between Initial Depression and Anxiety and Long‐Term Health Outcomes in Parkinson's Disease Patients

帕金森病 萧条(经济学) 焦虑 疾病 心理学 医学 期限(时间) 精神科 临床心理学 内科学 物理 量子力学 经济 宏观经济学
作者
Xiaolong Guo,Kaili Lin,Sheng Li
出处
期刊:Movement Disorders Clinical Practice [Wiley]
被引量:1
标识
DOI:10.1002/mdc3.14234
摘要

We recently had the opportunity to review the article titled "Association of Baseline Depression and Anxiety with Longitudinal Health Outcomes in Parkinson's Disease" by Dr. Shi et al,1 published in your esteemed journal. This study offers valuable insights into the impact of neuropsychiatric symptoms on the progression of Parkinson's disease (PD). We commend the authors for elucidating this crucial aspect of PD management and offer several suggestions that may help broaden the impact of their findings. First, we appreciate the comprehensive analysis and the use of a well-defined cohort for long-term follow-up. Authors discuss challenges related to long-term follow-up and data completeness, the section on statistical analysis lacks specific details about the techniques employed to address these issues. Given the potential impact of missing data on longitudinal studies, we recommend that future research incorporate methods such as multiple imputation or last observation carried forward2 to manage potential data gaps, thereby ensuring the robustness of the study results. Second, while the article conducts subgroup analyses of anxiety and depression in PD patients, these broad categorizations may obscure more nuanced differences between subtypes. The lack of detailed information on the types and severity of anxiety and depression is acknowledged; however, the study should also explore how various treatment modalities interact with factors such as age, gender, socioeconomic status,3 and social support in influencing the long-term health outcomes of depression and anxiety. Incorporating these variables into subgroup analyses would enable a more precise assessment of the specific needs and optimal interventions for different patient subgroups, thus facilitating more personalized and effective treatment plans for PD patients. Third, the study may not adequately account for the impact of comorbid chronic conditions on depression and anxiety in PD patients, such as cognitive impairment4 and other neurological disorders. These factors could significantly influence the psychological and functional outcomes of the disease. Additionally, the study lacks detailed information on the specific types and consistency of treatment interventions. We recommend providing more detailed descriptions of the variety and consistency of antidepressant medications and psychological therapies used in the study to enhance the interpretability and applicability of the findings. Finally, given the limitations identified in this study concerning the association between depression, anxiety, and long-term health outcomes in PD patients, we recommend adopting more comprehensive assessment and monitoring strategies in emergency management. Establishing regular psychological health assessments and tracking mechanisms, coupled with randomized controlled trials, would allow for more effective monitoring and evaluation of the long-term efficacy of treatment plans. This approach would facilitate early identification and timely intervention for depression and anxiety in PD patients, ultimately enhancing disease management and improving quality of life. In conclusion, addressing these issues will enrich both the understanding and application of the study's findings. We appreciate your consideration of our comments and eagerly anticipate future updates from your Journal, continuing its tradition of excellence in research dissemination. (1) Research project: A. Conception, B. Organization, C. Execution; (2) Statistical Analysis: A. Design, B. Execution, C. Review and Critique; (3) Manuscript: A. Writing of the first draft, B. Review and Critique. X.G.: 1A, 1B, 2A, 3A. K.L.: 1A, 1B, 2A, 3A. S.L.: 1C, 2A, 2B, 2C, 3B. None. Ethical Compliance Statement: The author confirms that the approval of an institutional review board was not required for this work. The author confirms that informed patient consent was not required for this work. We confirm that we have read the Journal's position on issues involved in ethical publication and affirm that this work is consistent with those guidelines. Funding Sources and Conflicts of Interest: The author declares that there are no conflicts of interest relevant to this work. This work was supported by People's Livelihood Science and Technology Special-Social Development Topic (No.2021-004-SF0-0079). Financial Disclosures of All Authors (for the past 12 Months): The author declares that there are no additional disclosures to report. Data sharing not applicable to this article as no datasets were generated or analysed during the current study.
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
小灰灰发布了新的文献求助10
刚刚
科研通AI5应助秀丽煎蛋采纳,获得10
1秒前
小方发布了新的文献求助10
3秒前
七街完成签到 ,获得积分10
5秒前
aaa发布了新的文献求助10
5秒前
5秒前
7秒前
9秒前
9秒前
9秒前
OeO完成签到 ,获得积分10
10秒前
10秒前
10秒前
Jasper应助Bamboo采纳,获得10
11秒前
zhao完成签到 ,获得积分10
11秒前
12秒前
Lucas应助222采纳,获得10
13秒前
dll完成签到 ,获得积分10
13秒前
dox发布了新的文献求助10
14秒前
娃哈哈完成签到,获得积分10
16秒前
全焱发布了新的文献求助10
16秒前
冬月完成签到,获得积分10
16秒前
小小完成签到,获得积分10
16秒前
orange2806发布了新的文献求助20
18秒前
Yu完成签到 ,获得积分10
19秒前
冬天完成签到 ,获得积分10
20秒前
修狗狗完成签到,获得积分10
21秒前
21秒前
外向的聪展完成签到,获得积分10
22秒前
22秒前
勤劳如柏完成签到,获得积分10
23秒前
科研通AI2S应助蘅大爷采纳,获得10
23秒前
优雅冰蝶完成签到,获得积分10
24秒前
斯文败类应助YUYUYU采纳,获得10
24秒前
24秒前
25秒前
jatwing发布了新的文献求助10
25秒前
25秒前
科研通AI5应助叶箴采纳,获得10
26秒前
222发布了新的文献求助10
27秒前
高分求助中
Applied Survey Data Analysis (第三版, 2025) 800
Assessing and Diagnosing Young Children with Neurodevelopmental Disorders (2nd Edition) 700
Images that translate 500
Algorithmic Mathematics in Machine Learning 500
Handbook of Innovations in Political Psychology 400
Mapping the Stars: Celebrity, Metonymy, and the Networked Politics of Identity 400
Nucleophilic substitution in azasydnone-modified dinitroanisoles 300
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 3842080
求助须知:如何正确求助?哪些是违规求助? 3384261
关于积分的说明 10533503
捐赠科研通 3104566
什么是DOI,文献DOI怎么找? 1709737
邀请新用户注册赠送积分活动 823319
科研通“疑难数据库(出版商)”最低求助积分说明 773970