SynthesisInternational journal of medical informatics2017
Advancing Alzheimer's research: A review of big data promises.
Synthesis in International journal of medical informatics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis 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
28 citing papers in PubMed, 1 synthesis or guideline pooled it, 81 citations in OpenAlex.
- Blockchain technology in healthcare: A systematic review.PloS one · 2022Pooled it
- ADGPT: A Prior-Guided and GPT-Empowered Framework for MRI-Based Alzheimer's Disease Diagnosis.Journal of imaging informatics in medicine · 2026Article
- Cross-Dataset Evaluation of Dementia Longitudinal Progression Prediction Models.Human brain mapping · 2025Article
- Using machine learning and electronic health record (EHR) data for the early prediction of Alzheimer's Disease and Related Dementias.The journal of prevention of Alzheimer's disease · 2025Article
- Cross-dataset Evaluation of Dementia Longitudinal Progression Prediction Models.medRxiv : the preprint server for health sciences · 2025Article
- Machine learning to detect Alzheimer's disease with data on drugs and diagnoses.The journal of prevention of Alzheimer's disease · 2025Article
- Cognitive performance classification of older patients using machine learning and electronic medical records.Scientific reports · 2025Article
- Comparing the influence of big data resources on medical knowledge recall for staff with and without medical collaboration platform.BMC medical education · 2023Article
- Machine learning prediction of mild cognitive impairment and its progression to Alzheimer's disease.Health science reports · 2023Article
- Early prediction of Alzheimer's disease and related dementias using real-world electronic health records.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2023Article
- Quantification of race/ethnicity representation in Alzheimer's disease neuroimaging research in the USA: a systematic review.Communications medicine · 2023Review
- Mild Cognitive Impairment: Data-Driven Prediction, Risk Factors, and Workup.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2023Article
- RETRACTED ARTICLE: Artificial intelligence in disease diagnosis: a systematic literature review, synthesizing framework and future research agenda.Journal of ambient intelligence and humanized computing · 2023Article
- Classifying the lifestyle status for Alzheimer's disease from clinical notes using deep learning with weak supervision.BMC medical informatics and decision making · 2022Article
- Mechanism of Impact of Big Data Resources on Medical Collaborative Networks From the Perspective of Transaction Efficiency of Medical Services: Survey Study.Journal of medical Internet research · 2022Article
- Deep phenotyping of Alzheimer's disease leveraging electronic medical records identifies sex-specific clinical associations.Nature communications · 2022Article
- Impacts of Eligibility Criteria on Trial Participants' Age in Alzheimer's Disease Clinical Trials.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2022Article
- Article
- Neuropsychological test validation of speech markers of cognitive impairment in the Framingham Cognitive Aging Cohort.Exploration of medicine · 2021Article
- Data-driven discovery of probable Alzheimer's disease and related dementia subphenotypes using electronic health records.Learning health systems · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
objectiveTo review the current state of science using big data to advance Alzheimer's disease (AD) research and practice. In particular, we analyzed the types of research foci addressed, corresponding methods employed and study findings reported using big data in AD.
methodSystematic review was conducted for articles published in PubMed from January 1, 2010 through December 31, 2015. Keywords with AD and big data analytics were used for literature retrieval. Articles were reviewed and included if they met the eligibility criteria.
resultsThirty-eight articles were included in this review. They can be categorized into seven research foci: diagnosing AD or mild cognitive impairment (MCI) (n=10), predicting MCI to AD conversion (n=13), stratifying risks for AD (n=5), mining the literature for knowledge discovery (n=4), predicting AD progression (n=2), describing clinical care for persons with AD (n=3), and understanding the relationship between cognition and AD (n=3). The most commonly used datasets are AD Neuroimaging Initiative (ADNI) (n=16), electronic health records (EHR) (n=11), MEDLINE (n=3), and other research datasets (n=8). Logistic regression (n=9) and support vector machine (n=8) are the most used methods for data analysis.
conclusionBig data are increasingly used to address AD-related research questions. While existing research datasets are frequently used, other datasets such as EHR data provide a unique, yet under-utilized opportunity for advancing AD research.
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.