ArticleFrontiers in neurology2020
Machine Learning Analysis of the Cerebrovascular Thrombi Proteome in Human Ischemic Stroke: An Exploratory Study.
Article in Frontiers in neurology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 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
17 citing papers in PubMed, 31 citations in OpenAlex.
- AmyloGram reveals amyloidogenic potential in stroke thrombus proteomes.The Biochemical journal · 2025Article
- Transcriptomic profiling of thrombus-derived extracellular vesicles reveals PECAM-1 as a potential inflammatory marker for cardioembolic stroke patients.Journal of neuroinflammation · 2025Article
- Rapid thrombogenesis prediction in COVID-19 patients using DNN with data labeling.Scientific reports · 2025Article
- Clot Composition and Ischemic Stroke Etiology: A Contemporary Narrative Review.Journal of clinical medicine · 2025Review
- Identification of Differential Proteins in Thrombi of Cardioembolic and Atherothrombotic Etiology in Patients with Ischemic Stroke.International journal of molecular sciences · 2025Article
- Proteomic Analyses of Clots Identify Stroke Etiologies in Patients Undergoing Endovascular Therapy.CNS neuroscience & therapeutics · 2025Article
- Automatic etiological classification of stroke thrombus digital photographs using a deep learning model.Frontiers in neurology · 2025Article
- Navigating the Multiverse: a Hitchhiker's guide to selecting harmonization methods for multimodal biomedical data.Biology methods & protocols · 2025Review
- Histological analysis of thrombus composition in acute ischemic stroke with large vessel occlusion: impact of r-tPA treatment.Frontiers in neuroscience · 2025Article
- Differential Role of Factor XIII in Acute Myocardial Infarction and Ischemic Stroke.Biomedicines · 2024Review
- Stroke emboli from patients with atrial fibrillation enriched with neutrophil extracellular traps.Research and practice in thrombosis and haemostasis · 2024Article
- Gene expression profiles of ischemic stroke clots retrieved by mechanical thrombectomy are associated with disease etiology.Journal of neurointerventional surgery · 2023Article
- Advancing Stroke Research on Cerebral Thrombi with Omic Technologies.International journal of molecular sciences · 2023Review
- Neurovascular unit dysfunction as a mechanism of seizures and epilepsy during aging.Epilepsia · 2022Review
- Potential Biomarkers of Acute Ischemic Stroke Etiology Revealed by Mass Spectrometry-Based Proteomic Characterization of Formalin-Fixed Paraffin-Embedded Blood Clots.Frontiers in neurology · 2022Article
- Clot Composition Analysis as a Diagnostic Tool to Gain Insight into Ischemic Stroke Etiology: A Systematic Review.Journal of stroke · 2021Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
15 authors at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
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.