Taipei Medical University — Biomedical Watch V2

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Traitements

4

Molécule	Indication / population	Phase	Objectif	Pays	Résultat
app-based acupressureObjectives: To evaluate the effectiveness of an app-based self-guided acupressure intervention in alleviating fatigue and pruritus, and in improving sleep quality among hemodialysis patients. Design and subjects: The parallel randomized controlled trial will be employed in one hospital. Block randomization in a 1:1 ratio will be used to assign the patients to the intervention and control groups. It is estimated that 50 to 100 participants receiving hemodialysis will be recruited. Instrument: The demographic and health-related information questionnaire, the Post-dialysis Fatigue, 5-D Itch, and Pittsburgh Sleep Quality Index will be used in this study. Interventions: The intervention group will use an app-based self-guided acupressure program to do the acupressure by themselves once daily for 4 weeks. Participants in the control group will receive usual care and no other intervention. Data analysis: Both intention-to-treat and per-protocol analysis approaches will be performed. Generalized Estimating Equations analysis will be used to assess the effectiveness of the interventions. Sensitivity analysis will be conducted to assess the impact of missing data on the treatment effect if necessary. Expected outcomes: Participants in the intervention group will know how to do the self-guided acupressure by themselves. If the intervention is effective, the App can be introduced to the hemodialysis patients who need it.	Alzheimer, Maladie rénale chronique	Non applicable	Traitement symptomatique	Vietnam	À vérifier
Developing Precision Microbiota-Based Cocktail Modification Therapy to Delay the Progression of Parkinson's Disease (PD) - Use Preclinical Human Trials to Confirm the Impact of thePreclinical human trials will be utilized to validate the research direction, followed by clinical trials to assess the impact of a cocktail formula product containing the optimal probiotic Y7 combined metabolites on motor, cognitive, and non-motor functions in early Parkinson's disease patients. The study aims to recruit 120 patients (stage 1-3) and employ a two-arm, randomized controlled trial (RCT) design, dividing subjects into intervention and control groups for a 12 weeks trial period. Commercial development will be contingent upon the clinical trial outcomes, evaluating whether the product offers clinical benefits such as delaying Parkinson's disease progression in motor, cognitive, and non-motor functions. Additionally, a personalized and precise prognosis prediction model for Parkinson's disease will be established. This model will gather comprehensive clinical data, including motor function assessments (functional tests, UPDRS), biochemical markers, questionnaire responses, and genotype data (TPM array), as well as metabolite and microbial data. Through integrated analysis of this biological information using machine learning techniques, a personalized and accurate prognosis prediction model for Parkinson's disease will be developed. This model will predict the disease status of PD patients 12 weeks later, accounting for factors such as cocktail therapy. The results will empower PD patients to understand their individual disease progression and treatment prognosis, enabling them to prepare accordingly. Moreover, this model will aid researchers in identifying patient profiles more likely to benefit from treatment, thereby enhancing the evaluation of the efficacy and applicability of cocktail therapy.	Parkinson	NA	Ralentissement de la progression	Taiwan	À vérifier
Developing Precision Microbiota-Based Cocktail Modification Therapy to Delay the Progression of Parkinson's Disease (PD) - Use Preclinical Human Trials to Confirm the Impact of thePreclinical human trials will be utilized to validate the research direction, followed by clinical trials to assess the impact of a cocktail formula product containing the optimal probiotic Y7 combined metabolites on motor, cognitive, and non-motor functions in early Parkinson's disease patients. The study aims to recruit 120 patients (stage 1-3) and employ a two-arm, randomized controlled trial (RCT) design, dividing subjects into intervention and control groups for a 12 weeks trial period. Commercial development will be contingent upon the clinical trial outcomes, evaluating whether the product offers clinical benefits such as delaying Parkinson's disease progression in motor, cognitive, and non-motor functions. Additionally, a personalized and precise prognosis prediction model for Parkinson's disease will be established. This model will gather comprehensive clinical data, including motor function assessments (functional tests, UPDRS), biochemical markers, questionnaire responses, and genotype data (TPM array), as well as metabolite and microbial data. Through integrated analysis of this biological information using machine learning techniques, a personalized and accurate prognosis prediction model for Parkinson's disease will be developed. This model will predict the disease status of PD patients 12 weeks later, accounting for factors such as cocktail therapy. The results will empower PD patients to understand their individual disease progression and treatment prognosis, enabling them to prepare accordingly. Moreover, this model will aid researchers in identifying patient profiles more likely to benefit from treatment, thereby enhancing the evaluation of the efficacy and applicability of cocktail therapy.	Parkinson	NA	Ralentissement de la progression	Taiwan	À vérifier
app-based acupressureObjectives: To evaluate the effectiveness of an app-based self-guided acupressure intervention in alleviating fatigue and pruritus, and in improving sleep quality among hemodialysis patients. Design and subjects: The parallel randomized controlled trial will be employed in one hospital. Block randomization in a 1:1 ratio will be used to assign the patients to the intervention and control groups. It is estimated that 50 to 100 participants receiving hemodialysis will be recruited. Instrument: The demographic and health-related information questionnaire, the Post-dialysis Fatigue, 5-D Itch, and Pittsburgh Sleep Quality Index will be used in this study. Interventions: The intervention group will use an app-based self-guided acupressure program to do the acupressure by themselves once daily for 4 weeks. Participants in the control group will receive usual care and no other intervention. Data analysis: Both intention-to-treat and per-protocol analysis approaches will be performed. Generalized Estimating Equations analysis will be used to assess the effectiveness of the interventions. Sensitivity analysis will be conducted to assess the impact of missing data on the treatment effect if necessary. Expected outcomes: Participants in the intervention group will know how to do the self-guided acupressure by themselves. If the intervention is effective, the App can be introduced to the hemodialysis patients who need it.	Alzheimer	Non applicable	Traitement symptomatique	Vietnam	À vérifier

Essais cliniques

2

Molécule	Indication / population	Phase	NCT	Titre	Statut
app-based acupressure	Alzheimer	Non applicable	NCT07259369	The Effects of an App-based Acupressure on Alleviating Fatigue, Pruritus, and Sleep Quality Among Hemodialysis Patients	COMPLETED
Developing Precision Microbiota-Based Cocktail Modification Therapy to Delay the Progression of Parkinson's Disease (PD) - Use Preclinical Human Trials to Confirm the Impact of the	Parkinson	NA	NCT07619560	Developing Precision Microbiota-Based Cocktail Modification Therapy to Delay the Progression of Parkinson's Disease (PD) - Use Preclinical Human Trials to Confirm the Impact of the Optimal "Probiotic Y7, Tryptophan and Branched-chain Amino Acid" Cocktail Formula on Early Stage PD Patients	RECRUITING

Publications

0

Molécule	Indication / population	Titre	Journal	Date
Aucune publication.