Evidence map›Paper›PMID 40547335›Full record

ArticleStroke (Hoboken, N.J.)2025

Risk Prediction of Cerebrovascular Ischemic Events Following Cervical Artery Dissections Using High-Intensity Transient Signals: A Systematic Review, Meta-Analysis and a single center experience.

Seyed Behnam Jazayeri, Behnam Sabayan, Yasaman Pirahanchi, Vikas Ravi, Julián Carrión-Penagos, Jeffery Bowers, Royya Modir, Kunal Agrawal, Thomas Hemmen, Brett Meyer and 2 more

Abstract read
In one paragraph

Article in Stroke (Hoboken, N.J.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
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

12 authors.

Seyed Behnam JazayeriTehran University of Medical Sciences, Tehran, Iran.
Behnam SabayanDepartment of Neurology, Hennepin Healthcare Research Institute, Minneapolis, Minnesota, USA.
Yasaman PirahanchiUniversity of California San Diego, Neuroscience Department, Comprehensive Stroke Center, San Diego, California, USA.
Vikas RaviUniversity of California San Diego, Neuroscience Department, Comprehensive Stroke Center, San Diego, California, USA.
Julián Carrión-PenagosUniversity of California San Diego, Neuroscience Department, Comprehensive Stroke Center, San Diego, California, USA.
Jeffery BowersUniversity of California San Diego, Neuroscience Department, Comprehensive Stroke Center, San Diego, California, USA.
Royya ModirUniversity of California San Diego, Neuroscience Department, Comprehensive Stroke Center, San Diego, California, USA.
Kunal AgrawalUniversity of California San Diego, Neuroscience Department, Comprehensive Stroke Center, San Diego, California, USA.
Thomas HemmenUniversity of California San Diego, Neuroscience Department, Comprehensive Stroke Center, San Diego, California, USA.
Brett MeyerUniversity of California San Diego, Neuroscience Department, Comprehensive Stroke Center, San Diego, California, USA.
Dawn MeyerUniversity of California San Diego, Neuroscience Department, Comprehensive Stroke Center, San Diego, California, USA.
Reza Bavarsad ShahripourUniversity of California San Diego, Neuroscience Department, Comprehensive Stroke Center, San Diego, California, USA.

Funding

San Diego StrokeNet Regional Coordinating CenterU24NS107225 · NINDS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BRETT C MEYER · 2018 to 2026
$2.4M
NINDS NIH HHS U24 NS107225
6 · The paper itself

Abstract

Background: Predicting and managing spontaneous Cervical Artery Dissections (CeAD) is challenging due to the absence of tools for early identification of high-risk individuals. This study seeks to gather evidence on the predictive value of high-intensity transient signals (HITS) detected by Transcranial Doppler for recurrent ischemic events (IEs) following CeAD. Methods: We performed a systematic review and meta-analysis of published studies along with the data from our cohort. Following PRISMA guidelines, we searched Pubmed, Embase and Scopus to identify studies that evaluated HITS in patients with CeAD with the aim of predicting IEs. Data were pooled using a random effects model, with odds ratio (OR) and its 95% confidence interval (CI) as the effect size. Heterogeneity was assessed with the Q statistic and I Results: Our systematic review included five prior studies, which, combined with our center's sample size, provided data for a total of 306 patients. The meta-analysis indicated that HITS is a significant predictor of IEs (OR: 13.25, 95% CI [2.97-59.13], Conclusions: The presence of HITS detected by TCD is a strong predictor of IEs in patients with Carotid artery dissections. This highlights the clinical value of TCD in identifying high-risk patients and emphasizes the need for proactive management strategies to reduce the risk of future IEs in this subgroup.

Indexed as

dissectionhigh-intensity transient signalsischemic eventsmicroembolic signalsstrokeTranscranial Doppler

Identifiers

PMID40547335
PMCPMC12180476

What OpenQuestion holds

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Registered trials

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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.