ArticleFrontiers in neurology
Quantifying cerebral autoregulation following endovascular thrombectomy using wavelet transformation.
Article in Frontiers in neurology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Cerebral autoregulation (CA) is essential for protecting the brain against harmful fluctuations in cerebral blood flow (CBF) and may be severely impaired in acute ischemic stroke (AIS) patients. Continuous wavelet transform (CWT) is a robust method for quantifying CA. However, data on CWT-based metrics following endovascular thrombectomy (EVT) remain limited. Therefore, we aimed to characterize CA using CWT in AIS patients after EVT. Methods: We performed a prospective observational study recruiting patients with anterior circulation AIS treated with EVT. Continuous bilateral middle cerebral artery (MCA) blood flow velocities were obtained by transcranial doppler ultrasound (TCD) and synchronized with arterial blood pressure (ABP). CWT-derived Synchronization index gamma (SI) was calculated in the very-low frequency range (0.005-0.08 Hz). The primary outcome was an unfavorable clinical outcome at 90-days (modified Rankin Scale 3-6). Secondary outcomes were early neurological recovery, Alberta Stroke Program Early CT Score (ASPECTS), MRI-based infarct volume, and intracranial hemorrhage. Results: A total of 20 patients were included in the primary outcome analysis. There was no statistically significant difference in median Synchronization index gamma (SI) between patients with unfavorable clinical outcomes compared to patients with favorable clinical outcomes (0.61 ±0.15 vs. 0.41 ±0.20, Conclusion: CWT is a viable method for evaluating CA after EVT and may provide important information on early cerebral hemodynamics following arterial recanalization.
Indexed as
Identifiers
What Socratic 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 Socratic graph.