Evidence map›Paper›PMID 28439614›Full record

Observational studyClinical neuroradiology2018

Internal Carotid Artery Stenosis and Collateral Recruitment in Stroke Patients.

Jan W Dankbaar, Kelly G P Kerckhoffs, Alexander D Horsch, Irene C van der Schaaf, L Jaap Kappelle, Birgitta K Velthuis, DUST investigators

Open access · hybridAbstract readObservational Study
In one paragraph

Observational study in Clinical neuroradiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 19% of its field
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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Pooled it
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  12. Signal variance-based collateral index in DSC perfusion: A novel method to assess leptomeningeal collateralization in acute ischaemic stroke.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2020
    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

7 authors at 1 institution in 1 country.

Jan W DankbaarDepartment of Radiology, Brain Center Rudolf Magnus, University Medical Center Utrecht, PO-Box 85500, 3508GA, Utrecht, The Netherlands. j.w.dankbaar@umcutrecht.nl.
Kelly G P KerckhoffsDepartment of Radiology, Brain Center Rudolf Magnus, University Medical Center Utrecht, PO-Box 85500, 3508GA, Utrecht, The Netherlands.
Alexander D HorschDepartment of Radiology, Brain Center Rudolf Magnus, University Medical Center Utrecht, PO-Box 85500, 3508GA, Utrecht, The Netherlands.
Irene C van der SchaafDepartment of Radiology, Brain Center Rudolf Magnus, University Medical Center Utrecht, PO-Box 85500, 3508GA, Utrecht, The Netherlands.
L Jaap KappelleDepartment of Neurology and Neurosurgery, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands.
Birgitta K VelthuisDepartment of Radiology, Brain Center Rudolf Magnus, University Medical Center Utrecht, PO-Box 85500, 3508GA, Utrecht, The Netherlands.
DUST investigators
University Medical Center Utrecht · NL

Funding

Hartstichting 2008T034Hartstichting 2012T061
6 · The paper itself

Abstract

purposeLeptomeningeal collaterals improve outcome in stroke patients. There is great individual variability in their extent. Internal carotid artery (ICA) stenosis may lead to more extensive recruitment of leptomeningeal collaterals. The purpose of this study was to evaluate the association of pre-existing ICA stenosis with leptomeningeal collateral filling visualized with computed tomography perfusion (CTP).

methodsFrom a prospective acute ischemic stroke cohort, patients were included with an M1 middle cerebral artery (MCA) occlusion and absent ipsilateral, extracranial ICA occlusion. ICA stenosis was determined on admission CT angiography (CTA). Leptomeningeal collaterals were graded as good (>50%) or poor (≤50%) collateral filling in the affected MCA territory on CTP-derived vessel images of the admission scan. The association between ipsilateral ICA stenosis ≥70% and extent of collateral filling was analyzed using logistic regression. In a multivariable analysis the odds ratio (OR) of ICA stenosis ≥70% was adjusted for complete circle of Willis, gender and age.

resultsWe included 188 patients in our analyses, 50 (26.6%) patients were classified as having poor collateral filling and 138 (73.4%) as good. Of the patients 4 with poor collateral filling had an ICA stenosis ≥70% and 14 with good collateral filling. Unadjusted and adjusted ORs of ICA stenosis ≥70% for good collateral filling were 1.30 (0.41-4.15) and 2.67 (0.81-8.77), respectively. Patients with poor collateral filling had a significantly worse outcome (90-day modified Rankin scale 3-6; 80% versus 52%, p = 0.001).

conclusionNo association was found between pre-existing ICA stenosis and extent of CTP derived collateral filling in patients with an M1 occlusion.

Indexed as

Collateral CirculationAgedCarotid Artery, InternalCarotid StenosisCerebral AngiographyCerebrovascular CirculationFemaleHumansMaleMiddle AgedMiddle Cerebral ArteryProspective StudiesRetrospective StudiesStrokeCarotid stenosisCollateralsCT perfusionStroke

Identifiers

PMID28439614
PMCPMC6105168
OpenAlexW2608177831

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.