ArticleeLife2021
Reproducible analysis of disease space via principal components using the novel R package syndRomics.
Article in eLife, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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
20 citing papers in PubMed.
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- Assessment of dynamic stability and identification of key tasks, inertial sensors, and parameters in patients with bilateral and unilateral vestibulopathy: investigation in a semi-standardized environment.Journal of neuroengineering and rehabilitation · 2026Article
- Behavior Decoding Delineates Seizure Microfeatures and Associated Sudden Death Risks in Mouse Models of Epilepsy.Annals of neurology · 2026Article
- Machine learning analysis of greenhouse gas sources impacting Africa's food security nexus.Scientific reports · 2025Article
- An infrastructure for qualified data sharing and team science in late-stage translational spinal cord injury research.Experimental neurology · 2025Review
- Sexually dimorphic differences in angiogenesis markers are associated with brain aging trajectories in humans.Science translational medicine · 2024Article
- Myeloid Cell Association with Spinal Cord Injury-Induced Neuropathic Pain and Depressive-like Behaviors in LysM-eGFP Mice.The journal of pain · 2024Article
- Preclinical long-term safety of intraspinal transplantation of human dorsal spinal GABA neural progenitor cells.iScience · 2023Article
- Associations of Microvascular Injury-Related Biomarkers With Traumatic Brain Injury Severity and Outcomes: A Transforming Research and Clinical Knowledge in Traumatic Brain Injury (TRACK-TBI) Pilot Study.Journal of neurotrauma · 2023Article
- Parieto-Occipital Injury on Diffusion MRI Correlates with Poor Neurologic Outcome following Cardiac Arrest.AJNR. American journal of neuroradiology · 2023Article
- Cortical profiles of numerous psychiatric disorders and normal development share a common pattern.Molecular psychiatry · 2023Article
- Unsupervised Machine Learning on Motion Capture Data Uncovers Movement Strategies in Low Back Pain.Frontiers in bioengineering and biotechnology · 2022Article
- Data-driven approach to integrating genomic and behavioral preclinical traumatic brain injury research.Frontiers in bioengineering and biotechnology · 2022Article
- Empowering Data Sharing and Analytics through the Open Data Commons for Traumatic Brain Injury Research.Neurotrauma reports · 2022Article
- The impact of deep space radiation on cognitive performance: From biological sex to biomarkers to countermeasures.Science advances · 2021Article
- Machine intelligence identifies soluble TNFa as a therapeutic target for spinal cord injury.Scientific reports · 2021Article
- FAIR Data Reuse in Traumatic Brain Injury: Exploring Inflammation and Age as Moderators of Recovery in the TRACK-TBI Pilot.Frontiers in neurology · 2021Article
- Acute injury characteristics predict chronic neuropathic pain development after spinal cord injury.Frontiers in neurologyArticle
- Proteomic Changes of Neurodegenerative and Inflammatory Plasma Biomarkers Following Traumatic Brain Injury.Neurotrauma reportsArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Biomedical data are usually analyzed at the univariate level, focused on a single primary outcome measure to provide insight into systems biology, complex disease states, and precision medicine opportunities. More broadly, these complex biological and disease states can be detected as common factors emerging from the relationships among measured variables using multivariate approaches. 'Syndromics' refers to an analytical framework for measuring disease states using principal component analysis and related multivariate statistics as primary tools for extracting underlying disease patterns. A key part of the syndromic workflow is the interpretation, the visualization, and the study of robustness of the main components that characterize the disease space. We present a new software package,
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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.