Evidence map›Paper›PMID 29785667›Full record

ReviewCurrent atherosclerosis reports2018

Cerebral Autoregulation in Stroke.

Pedro Castro, Elsa Azevedo, Farzaneh Sorond

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current atherosclerosis reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 88 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
88citing papers in PubMed, 3 pooled it
8.8field-weighted citation impact, top 2% of its field
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

88 citing papers in PubMed, 3 syntheses or guidelines pooled it, 129 citations in OpenAlex.

  1. Pooled it
  2. Assessment of cerebral autoregulation in stroke: A systematic review and meta-analysis of studies at rest.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2019
    Pooled it
  3. Pooled it
  4. Trial
  5. Trial
  6. Trial
  7. Article
  8. Loss of cerebral autoregulation drives abnormal perfusion patterns after stroke.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  9. Observational
  10. Article
  11. Article
  12. Article
  13. Review
  14. Review
  15. Article
  16. Contralateral hemispheric cerebral blood flow can predict short-term clinical outcomes in patients with recent small subcortical infarcts.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025
    Article
  17. Prognostic value of beat-to-beat blood pressure variability parameters in patients after mechanical thrombectomy.Hypertension research : official journal of the Japanese Society of Hypertension · 2025
    Article
  18. Review
  19. Article
  20. Observational

28 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

3 authors at 2 institutions in 2 countries.

Pedro CastroDepartment of Neurology, São João Hospital Center, Porto, Portugal.
Elsa AzevedoDepartment of Neurology, São João Hospital Center, Porto, Portugal.
Farzaneh SorondDepartment of Neurology, Division of Stroke and Neurocritical, Northwestern University Feinberg School of Medicine, 303 East Chicago Avenue, Ward 12-140, Chicago, IL, 60611, USA. farzaneh.sorond@nm.org.
Universidade do Porto · PTNorthwestern University · US

Funding

Cerebral Small Vessels in Motor and Cognitive Decline: Neuroimaging Signatures of Vulnerability & ResilienceR01NS085002 · NINDS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI FARZANEH A SOROND · 2014 to 2026
$3.8M
NINDS NIH HHS R01 NS085002
6 · The paper itself

Abstract

purpose of reviewCerebral autoregulation (CA) is a mechanism that maintains cerebral blood flow constant despite fluctuations in systemic arterial blood pressure. This review will focus on recent studies that measured CA non-invasively in acute cerebrovascular events, a feature unique to the transcranial Doppler ultrasound. We will summarize the rationale for CA assessment in acute cerebrovascular disorders and specifically evaluate the existing data on the value of CA measures in relation to clinical severity, guiding management decisions, and prognostication. RECENT

findingsExisting data suggest that CA is generally impaired in various cerebrovascular disorders. In patients with small vessel ischemic stroke, CA has been shown to be impaired in both hemispheres, whereas in large territorial strokes, CA impairment has been limited to the affected hemisphere. In these latter patients, impaired CA is also predictive of secondary complications such as hemorrhagic transformation and cerebral edema, hence worse functional outcome. In patients with carotid stenosis, impaired CA may also be associated with a higher ipsilateral hemispheric stroke risk. CA is also strongly linked to outcome in patients with intracranial hemorrhage. In patients with intraparenchymal hemorrhage, CA impairment correlated with clinical and imaging severity, whereas in those with subarachnoid hemorrhage, CA measures have a predictive value for development of delayed cerebral ischemia and radiographic vasospasm. Assessment of CA is increasingly more accessible in acute cerebrovascular disorders and promises to be a valuable measure in guiding hemodynamic management and predicting secondary complication, thus enhancing the care of these patients in the acute setting.

Indexed as

HomeostasisStrokeCerebrovascular CirculationDisease ManagementHumansPrognosisUltrasonography, Doppler, TranscranialCerebral autoregulationCerebral vasoreactivityIntracerebral hemorrhageStrokeSubarachnoid hemorrhageTranscranial Doppler ultrasound

Identifiers

PMID29785667
OpenAlexW2804856082

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.