Evidence map›Paper›PMID 26782760›Full record

ReviewJournal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism2016

Transfer function analysis of dynamic cerebral autoregulation: A white paper from the International Cerebral Autoregulation Research Network.

Jurgen A H R Claassen, Aisha S S Meel-van den Abeelen, David M Simpson, Ronney B Panerai, international Cerebral Autoregulation Research Network (CARNet)

3 registry-linked trialsAbstract readReviewConsensus Statement
In one paragraph

Review in Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 262 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
262citing papers in PubMed, 7 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.

NCT04242602 completednot on this mapstarted 2018, after this paper: background citation

Multimodal Monitoring of Cerebral Autoregulation After Pediatric Brain Injury

TypeobservationalSponsorUniversity of Texas Southwestern Medical CenterRan2018 to 2020Enrolled29ConditionsTraumatic Brain Injury, Brain Injuries, Brain Injury, VascularArmsTranscranial Doppler
NCT04611672 unknown statusnot on this mapstarted 2020, after this paper: background citation

Linearity and Non-linearity of Cerebral Autoregulation

Typeobservational_patient_registrySponsorLuzerner KantonsspitalRan2020 to 2025Enrolled580ConditionsStroke, AcuteArmsAssessment of CA, Assesment of CA only
NCT06480838 recruitingnot on this mapstarted 2023, after this paper: background citation

Cerebral Autoregulation, Brain Perfusion, and Neurocognitive Outcomes After Traumatic Brain Injury

TypeobservationalSponsorUniversity of Texas Southwestern Medical CenterRan2023 to 2029Enrolled130ConditionsTraumatic Brain Injury With Loss of Consciousness, Brain Injury Traumatic Severe, Brain Injury Traumatic Moderate, TBI (Traumatic Brain Injury)
3 · Its place in the literature

Who cites it

262 citing papers in PubMed, 7 syntheses or guidelines pooled it.

  1. Pooled it
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  3. A systematic review, meta-analysisJournal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2024
    Pooled it
  4. Pooled it
  5. Reliability and validity of the mean flow index (Mx) for assessing cerebral autoregulation in humans: A systematic review of the methodology.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2022
    Pooled it
  6. INFOMATAS multi-center systematic review and meta-analysis individual patient data of dynamic cerebral autoregulation in ischemic stroke.International journal of stroke : official journal of the International Stroke Society · 2020
    Pooled it
  7. 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
  8. Trial
  9. Effectiveness of butylphthalide on cerebral autoregulation in ischemic stroke patients with large artery atherosclerosis (EBCAS study): A randomized, controlled, multicenter trial.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2023
    Trial
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  15. Observational
  16. Automated estimation of the logistic curve model of cerebral COJournal of clinical monitoring and computing · 2026
    Article
  17. Observational
  18. Article
  19. Article
  20. Article

202 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

5 authors.

Jurgen A H R ClaassenRadboud University Medical Center, Department of Geriatric Medicine and Donders Institute for Brain, Cognition and Behaviour, The Netherlands jurgen.claassen@radboudumc.nl.
Aisha S S Meel-van den AbeelenRadboud University Medical Center, Department of Geriatric Medicine and Donders Institute for Brain, Cognition and Behaviour, The Netherlands.
David M SimpsonInstitute of Sound and Vibration Research, University of Southampton, Southampton, UK.
Ronney B PaneraiLeicester NIHR Biomedical Research Unit in Cardiovascular Sciences, Glenfield Hospital, Leicester, UK.
international Cerebral Autoregulation Research Network (CARNet)

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cerebral autoregulation is the intrinsic ability of the brain to maintain adequate cerebral perfusion in the presence of blood pressure changes. A large number of methods to assess the quality of cerebral autoregulation have been proposed over the last 30 years. However, no single method has been universally accepted as a gold standard. Therefore, the choice of which method to employ to quantify cerebral autoregulation remains a matter of personal choice. Nevertheless, given the concept that cerebral autoregulation represents the dynamic relationship between blood pressure (stimulus or input) and cerebral blood flow (response or output), transfer function analysis became the most popular approach adopted in studies based on spontaneous fluctuations of blood pressure. Despite its sound theoretical background, the literature shows considerable variation in implementation of transfer function analysis in practice, which has limited comparisons between studies and hindered progress towards clinical application. Therefore, the purpose of the present white paper is to improve standardisation of parameters and settings adopted for application of transfer function analysis in studies of dynamic cerebral autoregulation. The development of these recommendations was initiated by (but not confined to) theCerebral Autoregulation Research Network(CARNet -www.car-net.org).

Indexed as

AnimalsBlood PressureCerebrovascular CirculationHomeostasisHumansNeurophysiologyCerebral autoregulationcerebral blood flowgold standardtransfer function analysiswhite paper

Identifiers

PMID26782760
PMCPMC4821028

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.