Evidence map›Paper›PMID 30915019›Full record

ArticleFrontiers in neurology2019

Cross-Frequency Coupling Between Cerebral Blood Flow Velocity and EEG in Ischemic Stroke Patients With Large Vessel Occlusion.

Xiuyun Liu, Yuehua Pu, Dan Wu, Zhe Zhang, Xiao Hu, Liping Liu

Abstract read
In one paragraph

Article in Frontiers in neurology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Observational
  3. Review
  4. Article
  5. Cross-Frequency Coupling as a Biomarker for Early Stroke Recovery.Neurorehabilitation and neural repair · 2024
    Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Observational
  11. 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

6 authors.

Xiuyun LiuDepartment of Physiological Nursing, University of California, San Francisco, San Francisco, CA, United States.
Yuehua PuNeurointensive Care Unit, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Dan WuDepartment of Physiological Nursing, University of California, San Francisco, San Francisco, CA, United States.
Zhe ZhangNeurointensive Care Unit, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Xiao HuDepartment of Physiological Nursing, University of California, San Francisco, San Francisco, CA, United States.
Liping LiuNeurointensive Care Unit, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.

Funding

Integrate Dynamic System Model and Machine Learning for Calibration-Free Noninvasive ICPR01NS106905 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HU, XIAO · 2018 to 2022
$2.8M
ICP Elevation Alerting Based on a Predictive Model Hosting PlatformR01NS076738 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HU, XIAO · 2012 to 2015
$1.7M
NINDS NIH HHS R01 NS076738NINDS NIH HHS R01 NS106905
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

cerebral blood flowcross frequency couplingEEGneurovascular couplingstroke

Identifiers

PMID30915019
PMCPMC6422917

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.