ArticleJournal of Alzheimer's disease : JAD2019
Challenges for Optimizing Real-World Evidence in Alzheimer's Disease: The ROADMAP Project.
Article in Journal of Alzheimer's disease : JAD, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
15 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Predictors of response to acetylcholinesterase inhibitors in dementia: A systematic review.Frontiers in neuroscience · 2022Pooled it
- Health-related quality of life in people with predementia Alzheimer's disease, mild cognitive impairment or dementia measured with preference-based instruments: a systematic literature review.Alzheimer's research & therapy · 2020Pooled it
- Generating real-world evidence in Alzheimer's disease: Considerations for establishing a core dataset.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024Article
- Semantic Harmonization of Alzheimer's Disease Datasets Using AD-Mapper.Journal of Alzheimer's disease : JAD · 2024Article
- RWD-Cockpit: Application for Quality Assessment of Real-world Data.JMIR formative research · 2022Article
- Article
- ADataViewer: exploring semantically harmonized Alzheimer's disease cohort datasets.Alzheimer's research & therapy · 2022Article
- Health economic modeling for Alzheimer's disease: Expert perspectives.Alzheimer's & dementia (New York, N. Y.) · 2022Article
- Developing a Dementia Platform Databank Using Multiple Existing Cohorts.Yonsei medical journal · 2021Article
- Real-world evidence and product development: Opportunities, challenges and risk mitigation.Wiener klinische Wochenschrift · 2021Review
- Conducting public involvement in dementia research: The contribution of the European Working Group of People with Dementia to the ROADMAP project.Health expectations : an international journal of public participation in health care and health policy · 2021Review
- ANMerge: A Comprehensive and Accessible Alzheimer's Disease Patient-Level Dataset.Journal of Alzheimer's disease : JAD · 2021Article
- Good problems to have? Policy and societal implications of a disease-modifying therapy for presymptomatic late-onset Alzheimer's disease.Life sciences, society and policy · 2020Review
- Validation of Random Forest Machine Learning Models to Predict Dementia-Related Neuropsychiatric Symptoms in Real-World Data.Journal of Alzheimer's disease : JAD · 2020Article
- Health Outcome Prioritization in Alzheimer's Disease: Understanding the Ethical Landscape.Journal of Alzheimer's disease : JAD · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
23 authors.
Funding
Abstract
ROADMAP is a public-private advisory partnership to evaluate the usability of multiple data sources, including real-world evidence, in the decision-making process for new treatments in Alzheimer's disease, and to advance key concepts in disease and pharmacoeconomic modeling. ROADMAP identified key disease and patient outcomes for stakeholders to make informed funding and treatment decisions, provided advice on data integration methods and standards, and developed conceptual cost-effectiveness and disease models designed in part to assess whether early treatment provides long-term benefit.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.