What question did this study set out to answer?

January 24, 20260 citationsOpen Access

Predictive Model of Acupuncture Adherence in Alzheimer Disease: Secondary Analysis of Randomized Controlled Trials.

ZCZe-hao ChenChinese Academy of Medical Sciences & Peking Union Medical College RLRan LiChinese Academy of Medical Sciences & Peking Union Medical College YJYu-Hang JiangChinese Academy of Medical Sciences & Peking Union Medical College

Puntos clave

The aim is to develop and validate a predictive model for acupuncture adherence among Alzheimer patients.
Developed a predictive model based on previous randomized controlled trials
Utilized a nomogram for visualization of adherence risks
Analyzed participant data to identify factors affecting adherence
Established a reliable model for predicting acupuncture adherence
Identified high-risk patients likely to have adherence issues
Demonstrated potential to improve trial quality and outcomes through better participant management

Resumen

This study is the first to develop and validate a predictive model for acupuncture adherence in patients with AD. In clinical research, it can facilitate participant stratification and help identify individuals who may need additional adherence support, thereby reducing bias and enhancing trial quality. In clinical practice, the nomogram enables proactive adherence management by prospectively identifying high-risk patients and guiding targeted strategies to improve adherence and optimize therapeutic outcomes.

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Cite This Study

Chen et al. (Wed,) studied this question.

synapsesocial.com/papers/697461a8bb9d90c67120b771 https://doi.org/https://doi.org/10.2196/82787

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