Evidence map›Paper›PMID 24323713›Full record

ReviewTranslational stroke research2014

Vascular smooth muscle cells in cerebral aneurysm pathogenesis.

Robert M Starke, Nohra Chalouhi, Dale Ding, Daniel M S Raper, M Sean Mckisic, Gary K Owens, David M Hasan, Ricky Medel, Aaron S Dumont

Abstract readReview
PubMed Publisher
In one paragraph

Review in Translational stroke research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 80 papers.

0numbers the graph read from it
0cells of the map it votes in
80citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

80 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Cancer-type somatic mutations in saccular cerebral aneurysms.European journal of human genetics : EJHG · 2025
    Article
  12. Article
  13. Review
  14. Review
  15. Article
  16. Vitamin D deficiency promotes intracranial aneurysm rupture.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2024
    Article
  17. Article
  18. Article
  19. Review
  20. Article

20 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Robert M StarkeDepartment of Neurological Surgery, University of Virginia, Charlottesville, VA, USA.
Nohra Chalouhi
Dale Ding
Daniel M S Raper
M Sean Mckisic
Gary K Owens
David M Hasan
Ricky Medel
Aaron S Dumont

Funding

TNF-a and vascular smooth muscle cell phenotypic modulation in cerebral aneurysmsK08NS067072 · NINDS · UNIVERSITY OF VIRGINIA · PI DUMONT, AARON S · 2009 to 2013
$886k
NINDS NIH HHS 1K08NS067072NINDS NIH HHS K08 NS067072
6 · The paper itself

Abstract

Vascular smooth muscle cells (SMC) maintain significant plasticity. Following environmental stimulation, SMC can alter their phenotype from one primarily concerned with contraction to a pro-inflammatory and matrix remodeling phenotype. This is a critical process behind peripheral vascular disease and atherosclerosis, a key element of cerebral aneurysm pathology. Evolving evidence demonstrates that SMCs and phenotypic modulation play a significant role in cerebral aneurysm formation and rupture. Pharmacological alteration of smooth muscle cell function and phenotypic modulation could provide a promising medical therapy to inhibit cerebral aneurysm progression. This study reviews vascular SMC function and its contribution to cerebral aneurysm pathophysiology.

Indexed as

AnimalsAtherosclerosisHumansInflammationIntracranial AneurysmMuscle, Smooth, VascularMyocytes, Smooth Muscle

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.