Evidence map›Paper›PMID 28119628›Full record

ArticleFrontiers in physiology2016

Detection of Impaired Sympathetic Cerebrovascular Control Using Functional Biomarkers Based on Principal Dynamic Mode Analysis.

Saqib Saleem, Yu-Chieh Tzeng, W Bastiaan Kleijn, Paul D Teal

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in physiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Network analysis identifies consensus physiological measures of neurovascular coupling in humans.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2020
    Trial
  2. Quantification of dynamic cerebral autoregulation: welcome to the jungle!Clinical autonomic research : official journal of the Clinical Autonomic Research Society · 2023
    Review
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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

4 authors.

Saqib SaleemDepartment of Electrical Engineering, COMSATS Institute of Information Technology Sahiwal, Pakistan.
Yu-Chieh TzengWellington Medical Technology Group, Centre for Translational Physiology, University of Otago Wellington, New Zealand.
W Bastiaan KleijnSchool of Engineering and Computer Science, Victoria University of Wellington Wellington, New Zealand.
Paul D TealSchool of Engineering and Computer Science, Victoria University of Wellington Wellington, New Zealand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study sought to determine whether models of cerebrovascular function based on Laguerre-Volterra kernels that account for nonlinear cerebral blood flow (CBF) dynamics can detect the effects of functional cerebral sympathetic blockade. We retrospectively analyzed continuous beat-to-beat blood pressure, middle cerebral blood velocity, and partial-pressure of end-tidal CO

Indexed as

biomarkersblood flowblood pressurekernelsprincipal dynamic modes

Identifiers

PMID28119628
PMCPMC5220091

What OpenQuestion holds

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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.