Response to the letter titled “Analysis of semaglutide's effect on Alzheimer's disease risk”

IF 13 1区 医学 Q1 CLINICAL NEUROLOGY
Rong Xu
{"title":"Response to the letter titled “Analysis of semaglutide's effect on Alzheimer's disease risk”","authors":"Rong Xu","doi":"10.1002/alz.14509","DOIUrl":null,"url":null,"abstract":"<p>To the Editor,</p>\n<p>We appreciate the opportunity to respond to the comments by Hsu et al. regarding our study.<span><sup>1</sup></span> In their comments, the authors discussed several limitations in our study. We used a target trial emulation framework to examine the associations of semaglutide with first-time diagnosis of Alzheimer's disease (AD) and related medication prescriptions in patients with type 2 diabetes (T2D) who had no prior diagnosis of AD. We acknowledged that our study has the limitations inherent in observational studies using patient electronic health records (EHRs) including uncontrolled and unmeasured confounding factors and bias that preclude causal inferences, which will need to be examined in randomized clinical trials. The following are our responses to the specific comments raised by the authors. (1) In this study, semaglutide was compared with other anti-diabetic medications. Individuals were assigned to this treatment strategy compatible with their first prescription and assumed randomization by propensity-score matching for baseline covariates. Therefore, the dosage and duration of use of semaglutide were not accounted as confounders. We acknowledge that future analyses in comparing different dose or durations of semaglutide use among patients prescribed semaglutide could provide additional insights into dose–response relationships and temporal effects of semaglutide on AD incidence. (2) The groups were matched for lifestyle factors including tobacco use, alcohol drinking, lack of physical exercise, inappropriate diet and eating habits, and other problems such as antisocial behavior and sleep deprivation. (3) A1c ≥8.5% was an inclusion criterion that was applied to both the semaglutide and comparison groups. Semaglutide is known to be better in A1c control than other anti-diabetic medications, which could be one of the mechanisms underlying our observed reduced AD incidence associated with semaglutide, which is not a confounding factor. (3) In our study, groups were matched for individual comorbidities and were well balanced. We believe that matching for individual comorbidities could be better than matching for one single aggregated comorbidity index. For example, if two groups were well balanced for each comorbidity, they would automatically be balanced based on an aggregated comorbidity index. In summary, we acknowledged many limitations inherent in EHR-based observational studies, emphasized that no causal can be drawn in our study, and called for future randomized clinical trials to assess the causal relationships between semaglutide and AD prevention.</p>","PeriodicalId":7471,"journal":{"name":"Alzheimer's & Dementia","volume":"28 1","pages":""},"PeriodicalIF":13.0000,"publicationDate":"2025-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Alzheimer's & Dementia","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1002/alz.14509","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

To the Editor,

We appreciate the opportunity to respond to the comments by Hsu et al. regarding our study.1 In their comments, the authors discussed several limitations in our study. We used a target trial emulation framework to examine the associations of semaglutide with first-time diagnosis of Alzheimer's disease (AD) and related medication prescriptions in patients with type 2 diabetes (T2D) who had no prior diagnosis of AD. We acknowledged that our study has the limitations inherent in observational studies using patient electronic health records (EHRs) including uncontrolled and unmeasured confounding factors and bias that preclude causal inferences, which will need to be examined in randomized clinical trials. The following are our responses to the specific comments raised by the authors. (1) In this study, semaglutide was compared with other anti-diabetic medications. Individuals were assigned to this treatment strategy compatible with their first prescription and assumed randomization by propensity-score matching for baseline covariates. Therefore, the dosage and duration of use of semaglutide were not accounted as confounders. We acknowledge that future analyses in comparing different dose or durations of semaglutide use among patients prescribed semaglutide could provide additional insights into dose–response relationships and temporal effects of semaglutide on AD incidence. (2) The groups were matched for lifestyle factors including tobacco use, alcohol drinking, lack of physical exercise, inappropriate diet and eating habits, and other problems such as antisocial behavior and sleep deprivation. (3) A1c ≥8.5% was an inclusion criterion that was applied to both the semaglutide and comparison groups. Semaglutide is known to be better in A1c control than other anti-diabetic medications, which could be one of the mechanisms underlying our observed reduced AD incidence associated with semaglutide, which is not a confounding factor. (3) In our study, groups were matched for individual comorbidities and were well balanced. We believe that matching for individual comorbidities could be better than matching for one single aggregated comorbidity index. For example, if two groups were well balanced for each comorbidity, they would automatically be balanced based on an aggregated comorbidity index. In summary, we acknowledged many limitations inherent in EHR-based observational studies, emphasized that no causal can be drawn in our study, and called for future randomized clinical trials to assess the causal relationships between semaglutide and AD prevention.

对题为“分析西马鲁肽对阿尔茨海默病风险的影响”的信函的回应
感谢编辑给我们机会回复Hsu等人对我们研究的评论在他们的评论中,作者讨论了我们研究的几个局限性。我们使用一个目标试验模拟框架来研究西马鲁肽与阿尔茨海默病(AD)首次诊断的关联,以及在没有AD诊断的2型糖尿病(T2D)患者中相关药物处方的关联。我们承认,我们的研究在使用患者电子健康记录(EHRs)的观察性研究中存在固有的局限性,包括不受控制和未测量的混杂因素和排除因果推断的偏差,这需要在随机临床试验中进行检验。以下是我们对作者提出的具体意见的回应。(1)本研究将西马鲁肽与其他抗糖尿病药物进行比较。个体被分配到与他们的第一个处方相容的治疗策略,并通过基线协变量的倾向得分匹配假设随机化。因此,使用西马鲁肽的剂量和持续时间不被认为是混杂因素。我们承认,未来的分析将比较在患者中使用西马鲁肽的不同剂量或持续时间,可以进一步了解西马鲁肽对AD发病率的剂量-反应关系和时间效应。(2)根据生活方式因素对各组进行匹配,包括吸烟、饮酒、缺乏体育锻炼、不适当的饮食和饮食习惯,以及反社会行为和睡眠剥夺等其他问题。(3)糖化血红蛋白≥8.5%是适用于西马鲁肽组和对照组的纳入标准。已知Semaglutide在A1c控制方面比其他抗糖尿病药物更好,这可能是我们观察到的与Semaglutide相关的AD发病率降低的机制之一,这不是一个混杂因素。(3)在我们的研究中,组与个体合并症相匹配,并且平衡良好。我们相信单个合并症的匹配可能比单个合并症指数的匹配更好。例如,如果两组的每一种共病都很好地平衡了,那么它们将根据汇总的共病指数自动平衡。总之,我们承认基于电子病历的观察性研究固有的许多局限性,强调在我们的研究中不能得出因果关系,并呼吁未来进行随机临床试验来评估西马鲁肽与AD预防之间的因果关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Alzheimer's & Dementia
Alzheimer's & Dementia 医学-临床神经学
CiteScore
14.50
自引率
5.00%
发文量
299
审稿时长
3 months
期刊介绍: Alzheimer's & Dementia is a peer-reviewed journal that aims to bridge knowledge gaps in dementia research by covering the entire spectrum, from basic science to clinical trials to social and behavioral investigations. It provides a platform for rapid communication of new findings and ideas, optimal translation of research into practical applications, increasing knowledge across diverse disciplines for early detection, diagnosis, and intervention, and identifying promising new research directions. In July 2008, Alzheimer's & Dementia was accepted for indexing by MEDLINE, recognizing its scientific merit and contribution to Alzheimer's research.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信