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Published on: August 7, 2017
Causal inference in real-world dementia research: a systematic review protocol
Yi Yang1, Shivani Suresh2, Jiamin Du2,3
1Department of Psychiatry, University of Oxford, Oxford, UK. yi.yang@psych.ox.ac.uk.
This systematic review evaluates causal inference methods in dementia research, highlighting trends and gaps to improve study rigor. It aims to enhance the application of these techniques for better real-world dementia care insights.
Area of Science:
- Neuroscience
- Epidemiology
- Biostatistics
Background:
- Dementia research faces causal inference challenges due to complex etiology and progression.
- Randomized controlled trials have limitations in dementia research.
- Observational studies with advanced causal inference methods are increasingly vital for real-world dementia insights.
Purpose of the Study:
- To critically examine the application of causal inference techniques in dementia research.
- To assess the methodological rigor of these applications.
- To identify trends, assumptions, and gaps for future innovation.
Main Methods:
- Systematic review following PRISMA guidelines.
- Searches across multiple databases (MEDLINE, EMBASE, Web of Science, PsycINFO, Scopus, Cochrane Library) from 1960-2024.
- Inclusion of observational studies using causal inference for dementia-related outcomes; risk of bias assessed using ROBINS-I; narrative synthesis and meta-analysis.
Main Results:
- This section is to be filled after the review is conducted.
- The review will synthesize findings on the implementation and rigor of causal inference methods.
- Trends, assumptions, and identified gaps in current practices will be detailed.
Conclusions:
- The review addresses a critical gap in evaluating causal inference methods in dementia research.
- Findings will strengthen research rigor and reproducibility.
- Results will inform future methodological development and dementia care policy.
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Criteria for Causality: Bradford Hill Criteria - II