Response to “Reanalyzing the impact of cognitive training over 20 years in the ACTIVE study: Losing the forest in the trees”

IF 7.4 Q1 CLINICAL NEUROLOGY
Alden L. Gross, George W. Rebok, Marilyn S. Albert
{"title":"Response to “Reanalyzing the impact of cognitive training over 20 years in the ACTIVE study: Losing the forest in the trees”","authors":"Alden L. Gross,&nbsp;George W. Rebok,&nbsp;Marilyn S. Albert","doi":"10.1002/trc2.70290","DOIUrl":null,"url":null,"abstract":"<p>We are grateful for the Letter to the Editor by Dr. Dickens and the opportunity to discuss our findings further. The Letter suggests that six hazard ratios in Table 2 of Coe et al.<span><sup>1</sup></span> ought to be corrected for multiple comparisons, but paradoxically that 12 hazard ratios in Table 3 do not need such correction. Regardless of that logical inconsistency, multiplicity correction (e.g., a Bonferroni–Dunn correction) has to do with controlling the family-wise error rate across a family of inferences that are considered jointly. Our perspective is that the definition of that family of inferences is conceptual, not purely statistical.</p><p>In our case, the conclusion supported by the Coe et al.<span><sup>1</sup></span> paper is not generally that “any cognitive training reduces risk of dementia.” It is instead that training specifically in speed of processing appears to confer a benefit. In this sense, we do not believe a correction multiple testing is necessary. Our analyses of the effects of each independent training group on the risk of dementia were pre-specified as distinct primary hypotheses. That is, each training group corresponds to a distinct scientific question with its own inference. Clinical trials often do not Bonferroni-adjust across arms if each is a pre-specified primary comparison.<span><sup>2</sup></span> Such correction is somewhat more common in exploratory trials or trials with multiple doses of the same treatment,<span><sup>3</sup></span> neither of which is true of the ACTIVE trial.</p><p>In the Letter, Dr. Dickens switches frameworks to aggregate evidence when looking at patterns in Table 3. In other words, instead of treating each hazard ratio individually, he changes the estimand from the generic question of whether any training reduces risk of dementia, to “is there a consistent direction across all 12 hazard ratios?” In this way, the he uses multiplicity control to weaken the result, and then abandons multiplicity control when it strengthens an alternative result.</p><p>As noted in our Discussion, the finding in Coe et al. of an effect specifically in the training group that received speed of processing training is not without precedent.<span><sup>4</sup></span> Setting aside for a moment the logical inconsistency in the Letter to consider the implications of the sign test, which suggests a common underlying training effect concentrated at younger ages, such a conclusion is difficult to interpret in this context. The memory training intervention, the speed training intervention, and the reasoning training intervention each targeted different cognitive abilities. What policies or specific interventions might we promote based on the conclusion that any generic cognitive training seems to reduce the risk of dementia? To draw a parallel, should we pool together everyone who has ever taken any medication for dementia—including memantine, donepezil, and donanemab—to see whether medications help reduce risk of dementia? What mechanisms could be discerned from that exercise? Cholinesterase inhibitors, <i>N</i>-methyl-<span>d</span>-aspartate (NMDA) receptor antagonists, and anti-amyloid drugs have very different mechanistic targets. In sum, we believe that inference is most appropriately grounded in the pre-specified, intervention-specific hypotheses, rather than in aggregated analyses that may obscure clinically meaningful distinctions between targets of cognitive training.</p>","PeriodicalId":53225,"journal":{"name":"Alzheimer''s and Dementia: Translational Research and Clinical Interventions","volume":"12 3","pages":""},"PeriodicalIF":7.4000,"publicationDate":"2026-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13364747/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Alzheimer''s and Dementia: Translational Research and Clinical Interventions","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/trc2.70290","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

We are grateful for the Letter to the Editor by Dr. Dickens and the opportunity to discuss our findings further. The Letter suggests that six hazard ratios in Table 2 of Coe et al.1 ought to be corrected for multiple comparisons, but paradoxically that 12 hazard ratios in Table 3 do not need such correction. Regardless of that logical inconsistency, multiplicity correction (e.g., a Bonferroni–Dunn correction) has to do with controlling the family-wise error rate across a family of inferences that are considered jointly. Our perspective is that the definition of that family of inferences is conceptual, not purely statistical.

In our case, the conclusion supported by the Coe et al.1 paper is not generally that “any cognitive training reduces risk of dementia.” It is instead that training specifically in speed of processing appears to confer a benefit. In this sense, we do not believe a correction multiple testing is necessary. Our analyses of the effects of each independent training group on the risk of dementia were pre-specified as distinct primary hypotheses. That is, each training group corresponds to a distinct scientific question with its own inference. Clinical trials often do not Bonferroni-adjust across arms if each is a pre-specified primary comparison.2 Such correction is somewhat more common in exploratory trials or trials with multiple doses of the same treatment,3 neither of which is true of the ACTIVE trial.

In the Letter, Dr. Dickens switches frameworks to aggregate evidence when looking at patterns in Table 3. In other words, instead of treating each hazard ratio individually, he changes the estimand from the generic question of whether any training reduces risk of dementia, to “is there a consistent direction across all 12 hazard ratios?” In this way, the he uses multiplicity control to weaken the result, and then abandons multiplicity control when it strengthens an alternative result.

As noted in our Discussion, the finding in Coe et al. of an effect specifically in the training group that received speed of processing training is not without precedent.4 Setting aside for a moment the logical inconsistency in the Letter to consider the implications of the sign test, which suggests a common underlying training effect concentrated at younger ages, such a conclusion is difficult to interpret in this context. The memory training intervention, the speed training intervention, and the reasoning training intervention each targeted different cognitive abilities. What policies or specific interventions might we promote based on the conclusion that any generic cognitive training seems to reduce the risk of dementia? To draw a parallel, should we pool together everyone who has ever taken any medication for dementia—including memantine, donepezil, and donanemab—to see whether medications help reduce risk of dementia? What mechanisms could be discerned from that exercise? Cholinesterase inhibitors, N-methyl-d-aspartate (NMDA) receptor antagonists, and anti-amyloid drugs have very different mechanistic targets. In sum, we believe that inference is most appropriately grounded in the pre-specified, intervention-specific hypotheses, rather than in aggregated analyses that may obscure clinically meaningful distinctions between targets of cognitive training.

对“在ACTIVE研究中重新分析20年来认知训练的影响:树木中失去森林”的回应。
我们非常感谢狄更斯博士给编辑的信,并有机会进一步讨论我们的发现。这封信建议,Coe等人1的表2中的6个风险比应该对多重比较进行修正,但矛盾的是,表3中的12个风险比不需要这样的修正。不考虑逻辑上的不一致性,多重性校正(例如,Bonferroni-Dunn校正)必须在联合考虑的一系列推断中控制家族的错误率。我们的观点是,这一系列推论的定义是概念性的,而不是纯粹的统计性的。在我们的案例中,Coe等人的论文所支持的结论通常不是“任何认知训练都能降低患痴呆症的风险”。相反,专门针对处理速度的训练似乎会带来好处。从这个意义上说,我们不认为修正多重测试是必要的。我们对每个独立训练组对痴呆风险的影响的分析被预先指定为不同的主要假设。也就是说,每个训练组对应一个具有自己推理的独特科学问题。如果每项临床试验都是预先指定的主要比较,则临床试验通常不会跨组进行bonferroni调整这种修正在探索性试验或相同治疗的多剂量试验中更常见,这两种情况在ACTIVE试验中都不存在。在信中,狄更斯博士在观察表3中的模式时,将框架转换为汇总证据。换句话说,他没有单独处理每个风险比,而是将评估从“是否有任何训练可以降低痴呆症的风险”这一通用问题,改为“在所有12个风险比中是否存在一致的方向?”这样,他使用多重性控制来削弱结果,然后在增强替代结果时放弃多重性控制。正如我们在讨论中所指出的,Coe等人的发现,特别是在接受处理速度训练的训练组中,效果并非没有先例暂且不考虑信中逻辑上的不一致,考虑符号测试的含义,这表明在较年轻的年龄集中有一个共同的潜在训练效应,这样的结论在这种情况下很难解释。记忆训练干预、速度训练干预和推理训练干预分别针对不同的认知能力。基于任何一般认知训练似乎都能降低痴呆风险的结论,我们应该提倡什么样的政策或具体的干预措施?做个类比,我们是否应该把所有服用过任何治疗痴呆症药物的人——包括美金刚、多奈哌齐和多奈美布——集中在一起,看看这些药物是否有助于降低痴呆症的风险?从这种做法中可以看出什么机制?胆碱酯酶抑制剂、n -甲基-d-天冬氨酸(NMDA)受体拮抗剂和抗淀粉样蛋白药物具有非常不同的机制靶点。综上所述,我们认为,推断最恰当地建立在预先指定的干预特定假设的基础上,而不是在可能模糊认知训练目标之间临床有意义的区别的汇总分析中。
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
CiteScore
10.10
自引率
2.10%
发文量
134
审稿时长
10 weeks
期刊介绍: Alzheimer''s & Dementia: Translational Research & Clinical Interventions (TRCI) is a peer-reviewed, open access,journal from the Alzheimer''s Association®. The journal seeks to bridge the full scope of explorations between basic research on drug discovery and clinical studies, validating putative therapies for aging-related chronic brain conditions that affect cognition, motor functions, and other behavioral or clinical symptoms associated with all forms dementia and Alzheimer''s disease. The journal will publish findings from diverse domains of research and disciplines to accelerate the conversion of abstract facts into practical knowledge: specifically, to translate what is learned at the bench into bedside applications. The journal seeks to publish articles that go beyond a singular emphasis on either basic drug discovery research or clinical research. Rather, an important theme of articles will be the linkages between and among the various discrete steps in the complex continuum of therapy development. For rapid communication among a multidisciplinary research audience involving the range of therapeutic interventions, TRCI will consider only original contributions that include feature length research articles, systematic reviews, meta-analyses, brief reports, narrative reviews, commentaries, letters, perspectives, and research news that would advance wide range of interventions to ameliorate symptoms or alter the progression of chronic neurocognitive disorders such as dementia and Alzheimer''s disease. The journal will publish on topics related to medicine, geriatrics, neuroscience, neurophysiology, neurology, psychiatry, clinical psychology, bioinformatics, pharmaco-genetics, regulatory issues, health economics, pharmacoeconomics, and public health policy as these apply to preclinical and clinical research on therapeutics.
×
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:604180095
Book学术官方微信
小红书