Evidence map›Paper›PMID 31896284›Full record

ArticleThe neuroradiology journal2020

Predictors for the extent of pial collateral recruitment in acute ischemic stroke.

Gregory A Christoforidis, Niloufar Saadat, Marinos Kontzialis, Christopher J Karakasis, Andrew P Slivka

Abstract read
In one paragraph

Article in The neuroradiology journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 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.

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 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Blood Pressure Management in Acute Ischemic Stroke.Current hypertension reports · 2020
    Review
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.

Gregory A ChristoforidisDepartment of Radiology, University of Chicago, USA.
Niloufar SaadatDepartment of Radiology, University of Chicago, USA.ORCID https://orcid.org/0000-0001-8152-599X
Marinos KontzialisDepartment of Radiology, Rush University, USA.
Christopher J KarakasisDepartment of Radiology, Cleveland Clinic, USA.
Andrew P SlivkaDepartment of Neurology, The Ohio State University, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPial arterioles can provide a variable degree of collateral flow to ischemic vascular territories during acute ischemic stroke. This study sought to identify predictive factors of the degree of pial collateral recruitment in acute ischemic stroke.

methodsClinical information and arteriograms from 62 consecutive patients with stroke due to either middle cerebral artery (MCA) M1 segment or internal carotid artery (ICA) terminus occlusion within 6 h following symptom onset were retrospectively reviewed. Pial collaterals were defined based on the extent of reconstitution of the MCA territory. Patients with slow antegrade flow distal to the occlusion site were excluded and no anesthetics were used prior or during angiography. Results were analyzed using multivariate nominal logistic regression.

resultsBetter pial collateral recruitment was associated with proximal MCA versus ICA terminus occlusion (

conclusionsExtent of pial collateral recruitment is strongly associated with the occlusion site (MCA M1 segment versus ICA terminus) and less strongly associated with presenting NIHSSS and diastolic blood pressure.

Indexed as

AgedCarotid Artery, InternalCerebral AngiographyCollateral CirculationFemaleHumansIschemic StrokeMaleMiddle AgedMiddle Cerebral ArteryPia MaterRetrospective StudiesAcute ischemic strokeangiographylarge vessel strokepial collaterals

Identifiers

PMID31896284
PMCPMC7140308

What OpenQuestion holds

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Registered trials

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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.