ReviewArteriosclerosis, thrombosis, and vascular biology2022
Perspectives on Cognitive Phenotypes and Models of Vascular Disease.
Review in Arteriosclerosis, thrombosis, and vascular biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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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.
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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.
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Who cites it
8 citing papers in PubMed, 7 citations in OpenAlex.
- A guide to cell-type-specific Cre mouse models in atherosclerosis: from background strains to future directions.Frontiers in cardiovascular medicine · 2026Review
- Cerebrovascular p16Acta neuropathologica communications · 2025Article
- The pathogenesis of cerebral small vessel disease and vascular cognitive impairment.Physiological reviews · 2025Review
- From bench to bedside: translational insights into aging research.Frontiers in aging · 2025Review
- Low-intensity pulsed ultrasound triggers a beneficial neuromodulation in dementia mice with chronic cerebral hypoperfusion via activation of hippocampal Fndc5/irisin signaling.Journal of translational medicine · 2023Article
- The Potential Role of Integrin Signaling in Memory and Cognitive Impairment.Biomolecules · 2023Review
- Speaking the Same Language: Team Science Approaches in Aging Research for Integrating Basic and Translational Science With Clinical Practice.Innovation in aging · 2023Article
- Implementing the National Heart, Lung, and Blood Institute's Strategic Vision in the Division of Cardiovascular Sciences-2022 Update.Circulation research · 2022Article
Corrections and comments
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Authors and funding
21 authors at 15 institutions in 5 countries.
Funding
Abstract
Clinical investigations have established that vascular-associated medical conditions are significant risk factors for various kinds of dementia. And yet, we are unable to associate certain types of vascular deficiencies with specific cognitive impairments. The reasons for this are many, not the least of which are that most vascular disorders are multi-factorial and the development of vascular dementia in humans is often a multi-year or multi-decade progression. To better study vascular disease and its underlying causes, the National Heart, Lung, and Blood Institute of the National Institutes of Health has invested considerable resources in the development of animal models that recapitulate various aspects of human vascular disease. Many of these models, mainly in the mouse, are based on genetic mutations, frequently using single-gene mutations to examine the role of specific proteins in vascular function. These models could serve as useful tools for understanding the association of specific vascular signaling pathways with specific neurological and cognitive impairments related to dementia. To advance the state of the vascular dementia field and improve the information sharing between the vascular biology and neurobehavioral research communities, National Heart, Lung, and Blood Institute convened a workshop to bring in scientists from these knowledge domains to discuss the potential utility of establishing a comprehensive phenotypic cognitive assessment of a selected set of existing mouse models, representative of the spectrum of vascular disorders, with particular attention focused on age, sex, and rigor and reproducibility. The workshop highlighted the potential of associating well-characterized vascular disease models, with validated cognitive outcomes, that can be used to link specific vascular signaling pathways with specific cognitive and neurobehavioral deficits.
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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.