Evidence map›Paper›PMID 38727518›Full record

ArticleCNS neuroscience & therapeutics2024

Cerebral autoregulation: A reliable predictor of prognosis in patients receiving intravenous thrombolysis.

Zhen-Ni Guo, Yang Qu, Zi-Duo Shen, Jia Liu, Zhong-Xiu Wang, Ying-Ying Sun, Ke-Jia Zhang, Junlei Chang, Xiang-Kun Si, Hang Jin and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in CNS neuroscience & therapeutics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Observational
  3. 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

12 authors.

Zhen-Ni GuoStroke Center, Department of Neurology, The First Hospital of Jilin University, Changchun, China.
Yang QuStroke Center, Department of Neurology, The First Hospital of Jilin University, Changchun, China.
Zi-Duo ShenStroke Center, Department of Neurology, The First Hospital of Jilin University, Changchun, China.
Jia LiuLaboratory for Engineering and Scientific Computing, Institute of Advanced Computing and Digital Engineering, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Zhong-Xiu WangStroke Center, Department of Neurology, The First Hospital of Jilin University, Changchun, China.
Ying-Ying SunStroke Center, Department of Neurology, The First Hospital of Jilin University, Changchun, China.
Ke-Jia ZhangStroke Center, Department of Neurology, The First Hospital of Jilin University, Changchun, China.
Junlei ChangCenter for Protein and Cell-based Drugs, Institute of Biomedicine and Biotechnology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.ORCID 0000-0002-0319-9022
Xiang-Kun SiStroke Center, Department of Neurology, The First Hospital of Jilin University, Changchun, China.
Hang JinStroke Center, Department of Neurology, The First Hospital of Jilin University, Changchun, China.
Xin SunStroke Center, Department of Neurology, The First Hospital of Jilin University, Changchun, China.
Yi YangStroke Center, Department of Neurology, The First Hospital of Jilin University, Changchun, China.

Funding

Jilin Provincial Key Laboratory YDZJ202302CXJD017Talent Reserve Program of the First Hospital of Jilin University JDYYCB-2023002The National Natural Science Foundation of China 82271303The Norman Bethune Health Science Center of Jilin University 2022JBGS03The Science and Technology Department of Jilin Province 20220303002SFThe Science and Technology Department of Jilin Province YDZJ202201ZYTS677The Science and Technology Department of Jilin Province YDZJ202302CXJD061
6 · The paper itself

Abstract

aimsTo investigate the characteristics of dynamic cerebral autoregulation (dCA) after intravenous thrombolysis (IVT) and assess the relationship between dCA and prognosis.

methodsPatients with unilateral acute ischemic stroke receiving IVT were prospectively enrolled; those who did not were selected as controls. All patients underwent dCA measurements, by quantifying the phase difference (PD) and gain, at 1-3 and 7-10 days after stroke onset. Simultaneously, two dCA-based nomogram models were established to verify the predictive value of dCA for patients with mild-to-moderate stroke.

resultsFinally, 202 patients who received IVT and 238 who did not were included. IVT was positively correlated with higher PD on days 1-3 and 7-10 after stroke onset. PD values in both sides at 1-3 days after stroke onset and in the affected side at 7-10 days after onset were independent predictors of unfavorable outcomes in patients who received IVT. Additionally, in patients with mild-to-moderate stroke who received IVT, the dCA-based nomogram models significantly improved the risk predictive ability for 3-month unfavorable outcomes.

conclusionIVT has a positive effect on dCA in patients with acute stroke; furthermore, dCA may be useful to predict the prognosis of patients with IVT.

Indexed as

HomeostasisIschemic StrokeThrombolytic TherapyAdministration, IntravenousAgedAged, 80 and overCerebrovascular CirculationFemaleFibrinolytic AgentsHumansMaleMiddle AgedNomogramsPredictive Value of TestsPrognosisProspective StudiesFibrinolytic AgentsTissue Plasminogen Activatorcerebral autoregulationintravenous thrombolysisnomogram modelprognosisstroke

Identifiers

PMID38727518
PMCPMC11086020

What OpenQuestion holds

Textmetadata
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.