Evidence map›Paper›PMID 34279146›Full record

ReviewJournal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism2022

The INfoMATAS project: Methods for assessing cerebral autoregulation in stroke.

David M Simpson, Stephen J Payne, Ronney B Panerai

Abstract readReview
In one paragraph

Review in Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Observational
  2. Article
  3. Article
  4. Article
  5. Shifting concepts of autoregulation: Commentary to 'Static autoregulation in humans'.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2024
    Article
  6. Time-domain methods for quantifying dynamic cerebral blood flow autoregulation: Review and recommendations. A white paper from the Cerebrovascular Research Network (CARNet).Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2024
    Review
  7. Article
  8. Article
  9. The effect of hypercapnia on the directional sensitivity of dynamic cerebral autoregulation and the influence of age and sex.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2024
    Article
  10. Impaired dynamic cerebral autoregulation measured in the middle cerebral artery in patients with vertebrobasilar ischemia is associated with autonomic failure.Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association · 2024
    Article
  11. Quantification of dynamic cerebral autoregulation: welcome to the jungle!Clinical autonomic research : official journal of the Clinical Autonomic Research Society · 2023
    Review
  12. Review
  13. How can integrative physiology advance stroke research and stroke care?Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2022
    Article
  14. Article
  15. Article
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.

David M SimpsonInstitute of Sound and Vibration Research, University of Southampton, Southampton, UK.ORCID 0000-0001-9072-5088
Stephen J PayneInstitute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, UK.
Ronney B PaneraiDepartment of Cardiovascular Sciences, Leicester Royal Infirmary, Leicester, UK.ORCID 0000-0001-6983-8707

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cerebral autoregulation refers to the physiological mechanism that aims to maintain blood flow to the brain approximately constant when blood pressure changes. Impairment of this protective mechanism has been linked to a number of serious clinical conditions, including carotid stenosis, head trauma, subarachnoid haemorrhage and stroke. While the concept and experimental evidence is well established, methods for the assessment of autoregulation in individual patients remains an open challenge, with no gold-standard having emerged. In the current review paper, we will outline some of the basic concepts of autoregulation, as a foundation for experimental protocols and signal analysis methods used to extract indexes of cerebral autoregulation. Measurement methods for blood flow and pressure are discussed, followed by an outline of signal pre-processing steps. An outline of the data analysis methods is then provided, linking the different approaches through their underlying principles and rationale. The methods cover correlation based approaches (e.g. Mx) through Transfer Function Analysis to non-linear, multivariate and time-variant approaches. Challenges in choosing which method may be 'best' and some directions for ongoing and future research conclude this work.

Indexed as

AnimalsBrainCerebrovascular CirculationHemodynamicsHomeostasisHumansStrokeCerebral autoregulationcerebral blood flowhemodynamic regulationsignal processingstroke

Identifiers

PMID34279146
PMCPMC8851676

What OpenQuestion holds

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LicenceCC BY
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.