ReviewBrain sciences2023
Inflammatory Mechanisms in a Neurovascular Disease: Cerebral Cavernous Malformation.
Review in Brain sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 3 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
10 citing papers in PubMed, 3 syntheses or guidelines pooled it, 6 citations in OpenAlex.
- Imaging markers and circulating biomarkers for predicting hemorrhage from cerebral cavernous malformations: A systematic review.Neurosurgical review · 2026Pooled it
- Molecular Pathways and Circulating Biomarkers in Cerebral Cavernous Malformations-A Systematic Review.International journal of molecular sciences · 2026Pooled it
- A Systematic Review of MicroRNAs in Hemorrhagic Neurovascular Disease: Cerebral Cavernous Malformations as a Paradigm.International journal of molecular sciences · 2025Pooled it
- Multimodal MRI habitat atlas for personalised re-haemorrhage risk prediction in brainstem cavernous malformations.Stroke and vascular neurology · 2026Article
- CXCL13⁺ CD4⁺ T cells are associated with B-cell recruitment and lesion progression in cerebral cavernous malformations.Journal of neuroinflammation · 2026Article
- The Role of Immune Infiltration and Oxidative Stress in the Progression of Cerebral Cavernous Malformation.Brain and behavior · 2026Review
- Article
- SilencingInternational journal of molecular sciences · 2025Article
- Single-cell transcriptome profiling reveals dynamic cell populations and immune infiltration in cerebral cavernous malformation.Frontiers in immunology · 2025Article
- Cerebral cavernous malformation with prolonged postoperative paralysis due to perilesional inflammation: illustrative case.Journal of neurosurgery. Case lessons · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 2 institutions in 2 countries.
Funding
Abstract
Cerebral cavernous malformation (CCM) is a common cerebrovascular malformation causing intracranial hemorrhage, seizures, and focal neurologic deficits. A unique CCM lesional inflammatory microenvironment has been shown to influence the clinical course of the disease. This review addresses the inflammatory cell infiltrate in the CCM lesion and the role of a defined antigen-driven immune response in pathogenicity. We summarize immune mechanisms associated with the loss of the CCM gene and disease progression, including the potential role of immunothrombosis. We also review evidence of circulating inflammatory biomarkers associated with CCM disease and its clinical activity. We articulate future directions for this research, including the role of individual cell type contributions to the immune response in CCM, single cell transcriptomics of inflammatory cells, biomarker development, and therapeutic implications. The concepts are applicable for developing diagnostic and treatment strategies for CCM and for studying other neurovascular diseases.
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.