Evidence map›Paper›PMID 36277778›Full record

ArticleFrontiers in cardiovascular medicine2022

Predictors and neurological consequences of periprocedural cerebrovascular events following transcatheter aortic valve implantation with self-expanding valves.

Ferenc Imre Suhai, Andrea Varga, Bálint Szilveszter, Milán Nagy-Vecsey, Astrid Apor, Anikó Ilona Nagy, Márton Kolossváry, Júlia Karády, Andrea Bartykowszki, Levente Molnár and 4 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.3field-weighted citation impact, top 18% 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

7 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
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  5. Review
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  7. Incidence and predictors of stroke and silent cerebral embolism following very high-power short-duration atrial fibrillation ablation.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2023
    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

14 authors at 3 institutions in 3 countries.

Ferenc Imre SuhaiCardiovascular Imaging Research Group, Heart and Vascular Center, Semmelweis University, Budapest, Hungary.
Andrea VargaCardiovascular Imaging Research Group, Heart and Vascular Center, Semmelweis University, Budapest, Hungary.
Bálint SzilveszterCardiovascular Imaging Research Group, Heart and Vascular Center, Semmelweis University, Budapest, Hungary.
Milán Nagy-VecseyCardiovascular Imaging Research Group, Heart and Vascular Center, Semmelweis University, Budapest, Hungary.
Astrid AporCardiovascular Imaging Research Group, Heart and Vascular Center, Semmelweis University, Budapest, Hungary.
Anikó Ilona NagyCardiovascular Imaging Research Group, Heart and Vascular Center, Semmelweis University, Budapest, Hungary.
Márton KolossváryCardiovascular Imaging Research Group, Heart and Vascular Center, Semmelweis University, Budapest, Hungary.
Júlia KarádyCardiovascular Imaging Research Group, Heart and Vascular Center, Semmelweis University, Budapest, Hungary.
Andrea BartykowszkiCardiovascular Imaging Research Group, Heart and Vascular Center, Semmelweis University, Budapest, Hungary.
Levente MolnárCardiovascular Imaging Research Group, Heart and Vascular Center, Semmelweis University, Budapest, Hungary.
Ádám L JermendyCardiovascular Imaging Research Group, Heart and Vascular Center, Semmelweis University, Budapest, Hungary.
Alexisz PanajotuCardiovascular Imaging Research Group, Heart and Vascular Center, Semmelweis University, Budapest, Hungary.
Pál Maurovich-HorvatMedical Imaging Center, Semmelweis University, Budapest, Hungary.
Béla MerkelyCardiovascular Imaging Research Group, Heart and Vascular Center, Semmelweis University, Budapest, Hungary.
Semmelweis University · HUMassachusetts General Hospital · USKarolinska Institutet · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims: To evaluate the patient- and procedure-related predictors of transcatheter aortic-valve implantation (TAVI)-associated ischemic brain lesions and to assess the effect of silent cerebral ischemic lesions (SCIL) on neurocognitive function. Methods and results: We investigated 113 consecutive patients with severe aortic stenosis who underwent brain magnetic resonance imaging (MRI) within a week following TAVI. To assess periprocedural cerebral ischemic lesions, diffusion-weighted MRI was utilized. We used multivariate linear regression to identify the independent predictors of TAVI-related ischemic lesion volume (ILV) and periprocedural stroke. Neurocognitive evaluation was performed before and following TAVI at 6-month and one-year follow-up. Following TAVI, a total of 944 new cerebral ischemic lesions were detected in 104 patients (92%). The median ILV was 257 μl (interquartile range [IQR]:97.1-718.8μl) with a median lesion number of 6/patient [IQR:2-10]. The majority of ischemic lesions were clinically silent (95%), while 5% of the lesions induced a stroke, which was confirmed by MRI. Predilatation (β = 1.13[95%CI:0.32-1.93], Conclusion: While periprocedural ischemic lesions are frequent, most of them are clinically silent and might not impact the patients' neurocognitive function. The number of valve positioning attempts, predilatation, and alternative access routes should be taken into consideration during TAVI to reduce the ILV and risk for stroke.

Indexed as

cardiac CT angiography (CTA)cerebral embolismmagnetic resonance imagingstroketranscatheter aortic valve implantation

Identifiers

PMID36277778
PMCPMC9581280
OpenAlexW4301430911

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.