ArticleStroke2012
Better late than never: the long journey for noncontrast arterial spin labeling perfusion imaging in acute stroke.
Article in Stroke, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed.
- [Mismatch of ASPECTS based on arterial spin labeling and diffusion-weighted imaging as an indicator for mechanical thrombectomy in patients with wake-up stroke].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2020Article
- Translational MR Neuroimaging of Stroke and Recovery.Translational stroke research · 2017Review
- "Imaging Evaluation of Collaterals in the Brain: Physiology and Clinical Translation"Current radiology reports · 2014Article
- Advanced neuroimaging to guide acute stroke therapy.Current cardiology reports · 2012Review
Corrections and comments
- Comment on
Authors and funding
1 author.
Funding
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.