Evidence map›Paper›PMID 33598562›Full record

ArticleEuropean stroke journal2020

Early detection of small volume stroke and thromboembolic sources with computed tomography: Rationale and design of the ENCLOSE study.

Frans Kauw, Fasco van Ommen, Edwin Bennink, Maarten J Cramer, L Jaap Kappelle, Richard Ap Takx, Birgitta K Velthuis, Max A Viergever, H Wouter van Es, Wouter J Schonewille and 5 more

Registry-linked trialOpen access · hybridAbstract read
In one paragraph

Article in European stroke journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04019483 (Improved Prediction of Recurrent Stroke and Detection of Small Volume Stroke), which is not on this map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 34% 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.

NCT04019483 terminatednot on this map

Improved Prediction of Recurrent Stroke and Detection of Small Volume Stroke

TypeobservationalSponsorUMC UtrechtRan2018 to 2024Enrolled439ConditionsIschemic Stroke
3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Trial
  2. Observational
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

15 authors at 3 institutions in 1 country.

Frans KauwDepartment of Radiology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.ORCID https://orcid.org/0000-0001-5604-0659
Fasco van OmmenDepartment of Radiology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
Edwin BenninkDepartment of Radiology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
Maarten J CramerDepartment of Neurology and Neurosurgery, Brain Center, University Medical Center Utrecht, Utrecht, Utrecht University, The Netherlands.
L Jaap KappelleImage Sciences Institute, University Medical Center Utrecht, Utrecht, The Netherlands.
Richard Ap TakxDepartment of Radiology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
Birgitta K VelthuisDepartment of Radiology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
Max A ViergeverDepartment of Radiology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
H Wouter van EsDepartment of Cardiology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
Wouter J SchonewilleDepartment of Radiology, St. Antonius Hospital, Nieuwegein, The Netherlands.
Jonathan M CoutinhoDepartment of Neurology, St. Antonius Hospital, Nieuwegein, The Netherlands.ORCID https://orcid.org/0000-0002-8284-982X
Charles Blm MajoieDepartment of Neurology, Amsterdam UMC, Amsterdam, The Netherlands.
Henk A MarqueringDepartment of Neurology, Amsterdam UMC, Amsterdam, The Netherlands.
Hugo Wam de JongDepartment of Radiology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
Jan W DankbaarDepartment of Radiology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
Utrecht University · NLAmsterdam Neuroscience · NLSt. Antonius Ziekenhuis · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundComputed tomography is the most frequently used imaging modality in acute stroke imaging protocols. Detection of small volume infarcts in the brain and cardioembolic sources of stroke is difficult with current computed tomography protocols. Furthermore, the role of computed tomography findings to predict recurrent ischemic stroke is unclear. With ENCLOSE, we aim to improve (1) the detection of small volume infarcts with thin slice computed tomography perfusion (CTP) images and thromboembolic source with cardiac computed tomography techniques in the acute stage of ischemic stroke and (2) prediction of recurrent ischemic stroke with computed tomography-derived predictors.Methods/design: ENCLOSE is a prospective multicenter observational cohort study, which will be conducted in three Dutch stroke centers (ClinicalTrials.gov Identifier: NCT04019483). Patients (≥18 years) with suspected acute ischemic stroke who undergo computed tomography imaging within 9 h after symptom onset are eligible. Computed tomography imaging includes non-contrast CT, CTP, and computed tomography angiography (CTA) from base of the heart to the top of the brain. Dual-energy CT data will be acquired when possible, and thin-slice CTP reconstructions will be obtained in addition to standard 5 mm CTP data. CTP data will be processed with commercially available software and locally developed model-based methods. The post-processed thin-slice CTP images will be compared to the standard CTP images and to magnetic resonance diffusion-weighted imaging performed within 48 h after admission. Detection of cardioembolic sources of stroke will be evaluated on the CTA images. Recurrence will be evaluated 90 days and two years after the index event. The added value of imaging findings to prognostic models for recurrent ischemic stroke will be evaluated.

conclusionThe aim of ENCLOSE is to improve early detection of small volume stroke and thromboembolic sources and to improve prediction of recurrence in patients with acute ischemic stroke.

Indexed as

Acute ischemic strokecardiac thrombuscomputed tomographydetectionlacunar strokemagnetic resonance imagingprediction modelrecurrent stroke

Identifiers

PMID33598562
PMCPMC7856586
OpenAlexW3093584060

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.