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Meta-analysis of efficacy of cholinesterase inhibitors on individual neuropsychiatric symptoms in Alzheimer's disease, Parkinson's disease and dementia with Lewy bodies.
Proposal
11492
Title of Proposed Research
Meta-analysis of efficacy of cholinesterase inhibitors on individual neuropsychiatric symptoms in Alzheimer's disease, Parkinson's disease and dementia with Lewy bodies.
Lead Researcher
Iris Sommer
Affiliation
UMCG
Funding Source
Potential Conflicts of Interest
Data Sharing Agreement Date
30 September 2021
Lay Summary
Alzheimer's disease (AD) is the most prevalent type of dementia, affecting approximately 24 million people globally [1]. It is estimated that Parkinson's disease (PD) and dementia with Lewy bodies (DLB) together affect an additional 10 million people globally (~1.5% of the elderly population [1]). Besides cognitive deficits, such as problems with memory, planning and reasoning, also neuropsychiatric disturbances are an important feature of these diseases. Neuropsychiatric disturbances may result from mental and emotional disorders attributable to the diseases of the nervous system. Examples of neuropsychiatric disturbances are depression, anxiety and hallucinations. Cholinesterase inhibitors (ChEIs), such as donepezil and rivastigmine, form a type of drug that aims to increase communication between certain nerve cells to stabilize or improve dementia symptoms. They have a well established effect on cognitive deficits in the mentioned diseases.By increasing communication between these nerve cells, ChEIs may also have a beneficial effect on neuropsychiatric disturbances. However, this effect is much less clear [2,3]. A possible explanation for the inconsistent results of ChEIs on neuropsychiatric disturbances is that the definition of 'neuropsychiatric' is too broad, as it includes symptoms such as hallucinations and delusions, but also depression, anxiety and irritability, among others.Therefore, we want to conduct a meta-analysis on the efficacy of ChEIs on all individual items of neuropsychiatric outcome measures, to assess which subdomains benefit from treatment and which do not. Individual trials are usually not powered for this subanalysis, which is why we want to pool all the available data.We believe that this meta-analysis will form the basis for a more targeted approach for treating neuropsychiatric symptoms in PD, AD and DLB.However, the beneficial effect on neuropsychiatric disturbances is much less clear [2,3]. A possible explanation for the inconsistent results of ChEIs on neuropsychiatric disturbances is that the definition of 'neuropsychiatric' is too broad, as it includes symptoms such as hallucinations and delusions, but also depression, anxiety and irritability, among others.Therefore, we want to conduct a meta-analysis on the efficacy of ChEIs on all individual items of neuropsychiatric outcome measures, to assess which subdomains benefit from treatment and which do not. Individual trials are usually not powered for this subanalysis, which is why we want to pool all the available data.We believe that this meta-analysis will form the basis for a more targeted approach for treating neuropsychiatric symptoms in PD, AD and DLB.
Study Data Provided
[{ "PostingID": 4086, "Title": "NOVARTIS-CENA713D1301", "Description": "A 24-week, Multicenter, Randomized, Double-blind, Placebo-controlled, Parallel-group, Dose-finding Evaluation of the Efficacy, Safety, and Tolerability of the Once-daily Rivastigmine Transdermal Patch in Patients With Probable Alzheimer's Disease (MMSE 10-20)" },{ "PostingID": 4180, "Title": "NOVARTIS-CENA713B2311", "Description": "A 24-week Prospective, Randomized, Multicenter, Double-Blind, Placebo-Controlled, Parallel-Group Study of the Efficacy, Tolerability, and Safety of 3-12 mg/day of Rivastigmine Capsules in Patients with Parkinson’s Disease Dementia" },{ "PostingID": 4688, "Title": "NOVARTIS-CENA713D2320", "Description": "Efficacy and Safety of the Rivastigmine Transdermal Patch in Patients With Probable Alzheimer's Disease" },{ "PostingID": 19975, "Title": "EISAI-E2020-J081-231", "Description": "A Multi-Center, Randomized, Double-Blind, Parallel Group Study With 3 Groups Receiving Placebo, 5 mg of E2020 and 10 mg of E2020" },{ "PostingID": 19976, "Title": "EISAI-E2020-A001-315", "Description": "A 24 Week, Multicenter, Randomized, Double-Blind, Placebo-Controlled Evaluation of the Safety and Efficacy of Donepezil Hydrochloride (E2020) in Patients With Severe Alzheimer's Disease Followed by a 12 Week Open-Label Extension Period" },{ "PostingID": 19977, "Title": "EISAI-E2020-A001-311", "Description": "A Randomized, Double-Blind, Placebo-Controlled Evaluation of the Effects of Donepezil Hydrochloride (E2020) in the Management of Patients with Alzheimer's Disease in a Nursing Home Facility." }]
Statistical Analysis Plan
Per study, we will use Hedges' g to quantify effect sizes (ES) for the mean difference between change scores (end of treatment minus baseline) of the active treatment group vs. placebo group for each individual neuropsychiatric subdomain. By calculating this effect size, we account for difference between outcome measures. To investigate whether studies can be combined to share a common population effect size, the Q-value and I2-statistic will be evaluated for each analysis.Hereafter, we will apply a random effects model to calculate a mean weighted ES for each individual neuropsychiatric subdomain. Also, meta-regression will be performed with baseline behavioral scores, baseline cognition scores, age, sex, diagnosis, type of ChEI, disease duration and treatment duration as covariates.The analysis will be based on an intention-to-treat analysis. We will impute missing values using last observation carried forward (LOCF).
Publication Citation
d'Angremont E, Begemann MJH, van Laar T, Sommer IEC. Cholinesterase Inhibitors for Treatment of Psychotic Symptoms in Alzheimer Disease and Parkinson Disease: A Meta-analysis. JAMA Neurol. June 26, 2023.
DOI: 10.1001/jamaneurol.2023.1835
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