Evidence map›Paper›PMID 39190561›Full record

ArticleJournal of the American Heart Association2024

Left Atrial Appendage Opacification on Cardiac Computed Tomography in Acute Ischemic Stroke: The Clinical Implications of Slow-Flow.

Shan Sui Nio, Leon A Rinkel, Olivia N Cramer, Z Beyda Özata, Chiel F P Beemsterboer, Valeria Guglielmi, Berto J Bouma, S Matthijs Boekholdt, Nick H J Lobé, Ludo F M Beenen and 6 more

Abstract read
In one paragraph

Article in Journal of the American Heart Association, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  10. Journal of the American Heart Association · 2024
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors.

Shan Sui NioDepartment of Neurology Amsterdam UMC, Location University of Amsterdam Amsterdam The Netherlands.ORCID 0000-0003-3401-7014
Leon A RinkelDepartment of Neurology Amsterdam UMC, Location University of Amsterdam Amsterdam The Netherlands.ORCID 0000-0002-0291-8515
Olivia N CramerDepartment of Neurology Amsterdam UMC, Location University of Amsterdam Amsterdam The Netherlands.ORCID 0009-0006-4778-6022
Z Beyda ÖzataDepartment of Neurology Amsterdam UMC, Location University of Amsterdam Amsterdam The Netherlands.
Chiel F P BeemsterboerDepartment of Neurology Amsterdam UMC, Location University of Amsterdam Amsterdam The Netherlands.ORCID 0000-0003-1665-2911
Valeria GuglielmiDepartment of Neurology Amsterdam UMC, Location University of Amsterdam Amsterdam The Netherlands.ORCID 0000-0002-5531-4766
Berto J BoumaDepartment of Cardiology Amsterdam UMC, Location University of Amsterdam Amsterdam The Netherlands.ORCID 0000-0002-1433-9692
S Matthijs BoekholdtDepartment of Cardiology Amsterdam UMC, Location University of Amsterdam Amsterdam The Netherlands.ORCID 0000-0002-0861-0765
Nick H J LobéDepartment of Radiology and Nuclear Medicine Amsterdam UMC, Location University of Amsterdam Amsterdam The Netherlands.ORCID 0000-0002-7991-5021
Ludo F M BeenenDepartment of Radiology and Nuclear Medicine Amsterdam UMC, Location University of Amsterdam Amsterdam The Netherlands.ORCID 0000-0001-9204-1026
Henk A MarqueringDepartment of Radiology and Nuclear Medicine Amsterdam UMC, Location University of Amsterdam Amsterdam The Netherlands.ORCID 0000-0002-1414-6313
Charles B L M MajoieDepartment of Radiology and Nuclear Medicine Amsterdam UMC, Location University of Amsterdam Amsterdam The Netherlands.ORCID 0000-0002-7600-9568
Yvo B W E M RoosDepartment of Neurology Amsterdam UMC, Location University of Amsterdam Amsterdam The Netherlands.ORCID 0000-0001-9205-5882
Adrienne van RandenDepartment of Radiology and Nuclear Medicine Amsterdam UMC, Location University of Amsterdam Amsterdam The Netherlands.ORCID 0009-0003-1753-8755
R Nils PlankenDepartment of Radiology and Nuclear Medicine Amsterdam UMC, Location University of Amsterdam Amsterdam The Netherlands.ORCID 0000-0003-3940-4670
Jonathan M CoutinhoDepartment of Neurology Amsterdam UMC, Location University of Amsterdam Amsterdam The Netherlands.ORCID 0000-0002-8284-982X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLeft atrial appendage (LAA) slow-flow may increase the risk of ischemic stroke. We studied LAA attenuation on cardiac computed tomography in patients with acute ischemic stroke. METHODS AND

resultsWe used data from a prospective cohort of patients with acute ischemic stroke undergoing cardiac computed tomography during the acute stroke imaging protocol. We compared characteristics, functional outcome (modified Rankin scale: higher scores indicating worse outcome), stroke recurrence and major adverse cardiovascular events after 2-year follow-up between patients with LAA thrombus (filling defect<100 Hounsfield Unit (HU)), slow-flow (filling defect ≥100 HU) and normal filling. Of 421 patients, 31 (7%) had LAA thrombus, 69 (16%) slow-flow, and 321 (76%) normal filling. Patients with thrombus or slow-flow more often had known atrial fibrillation compared with normal filling (45%, 39%, and 9%,

conclusionsPatients with slow-flow had similar characteristics to patients with thrombus, but had less severe strokes. Slow-flow was not significantly associated with functional outcome or major adverse cardiovascular events, but was associated with recurrent stroke in patients with cryptogenic stroke.

Indexed as

Atrial AppendageIschemic StrokeAgedAged, 80 and overAtrial FibrillationFemaleHumansMaleMiddle AgedPredictive Value of TestsProspective StudiesRecurrenceRisk FactorsThrombosisTime FactorsTomography, X-Ray Computedacute ischemic strokecomputed tomography angiographyfilling defectslow‐flow

Identifiers

PMID39190561
PMCPMC11646529

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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.