ArticleFrontiers in aging neuroscience2018
Uncovering Biologically Coherent Peripheral Signatures of Health and Risk for Alzheimer's Disease in the Aging Brain.
Article in Frontiers in aging neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
13 citing papers in PubMed, 2 syntheses or guidelines pooled it, 32 citations in OpenAlex.
- The complement cascade in Alzheimer's disease: a systematic review and meta-analysis.Molecular psychiatry · 2021Pooled it
- Deep Learning in Alzheimer's Disease: Diagnostic Classification and Prognostic Prediction Using Neuroimaging Data.Frontiers in aging neuroscience · 2019Pooled it
- CD5L insufficiency exacerbates skeletal joint damage in rheumatoid arthritis.Molecular medicine (Cambridge, Mass.) · 2026Article
- Mental health phenotypes of well-controlled HIV in Uganda.Frontiers in public health · 2024Article
- The foundation and architecture of precision medicine in neurology and psychiatry.Trends in neurosciences · 2023Review
- Using the Alzheimer's Disease Neuroimaging Initiative to improve early detection, diagnosis, and treatment of Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2022Review
- A tale of two systems: Lessons learned from female mid-life aging with implications for Alzheimer's prevention & treatment.Ageing research reviews · 2022Review
- Ensemble machine learning classification of daily living abilities among older people with HIV.EClinicalMedicine · 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
- Machine Learning Analysis Reveals Novel Neuroimaging and Clinical Signatures of Frailty in HIV.Journal of acquired immune deficiency syndromes (1999) · 2020Article
- Machine-learning classification of neurocognitive performance in children with perinatal HIV initiating de novo antiretroviral therapy.AIDS (London, England) · 2020Article
- Classification of Alzheimer's Disease and Mild Cognitive Impairment Based on Cortical and Subcortical Features from MRI T1 Brain Images Utilizing Four Different Types of Datasets.Journal of healthcare engineering · 2020Article
- Medical Informatics Platform (MIP): A Pilot Study Across Clinical Italian Cohorts.Frontiers in neurology · 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
8 authors at 1 institution in 1 country.
Funding
Abstract
Brain aging is a multifaceted process that remains poorly understood. Despite significant advances in technology, progress toward identifying reliable risk factors for suboptimal brain health requires realistically complex analytic methods to explain relationships between genetics, biology, and environment. Here we show the utility of a novel unsupervised machine learning technique - Correlation Explanation (CorEx) - to discover how individual measures from structural brain imaging, genetics, plasma, and CSF markers can jointly provide information on risk for Alzheimer's disease (AD). We examined 829 participants (
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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.