Evidence map›Paper›PMID 36237852›Full record

ArticleJournal of arrhythmia2022

Radiomic phenotype of epicardial adipose tissue in the prognosis of atrial fibrillation recurrence after catheter ablation in patients with lone atrial fibrillation.

Julia Ilyushenkova, Svetlana Sazonova, Evgeny Popov, Konstantin Zavadovsky, Roman Batalov, Evgeny Archakov, Tatyana Moskovskih, Sergey Popov, Stanislav Minin, Alexander Romanov

Open access · goldAbstract read
In one paragraph

Article in Journal of arrhythmia, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.6field-weighted citation impact, top 9% 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

11 citing papers in PubMed, 17 citations in OpenAlex.

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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

10 authors at 2 institutions in 1 country.

Julia IlyushenkovaCardiology Research Institute, Tomsk National Research Medical Centre Russian Academy of Sciences Tomsk Russian Federation.ORCID https://orcid.org/0000-0002-8649-3648
Svetlana SazonovaCardiology Research Institute, Tomsk National Research Medical Centre Russian Academy of Sciences Tomsk Russian Federation.ORCID https://orcid.org/0000-0003-2799-3260
Evgeny PopovCardiology Research Institute, Tomsk National Research Medical Centre Russian Academy of Sciences Tomsk Russian Federation.ORCID https://orcid.org/0000-0003-0772-6042
Konstantin ZavadovskyCardiology Research Institute, Tomsk National Research Medical Centre Russian Academy of Sciences Tomsk Russian Federation.ORCID https://orcid.org/0000-0002-1513-8614
Roman BatalovCardiology Research Institute, Tomsk National Research Medical Centre Russian Academy of Sciences Tomsk Russian Federation.ORCID https://orcid.org/0000-0003-1415-3932
Evgeny ArchakovCardiology Research Institute, Tomsk National Research Medical Centre Russian Academy of Sciences Tomsk Russian Federation.ORCID https://orcid.org/0000-0002-2530-361X
Tatyana MoskovskihCardiology Research Institute, Tomsk National Research Medical Centre Russian Academy of Sciences Tomsk Russian Federation.
Sergey PopovCardiology Research Institute, Tomsk National Research Medical Centre Russian Academy of Sciences Tomsk Russian Federation.ORCID https://orcid.org/0000-0002-9050-4493
Stanislav MininE. Meshalkin National Medical Research Ministry of Health of the Russian Federation Novosibirsk Russian Federation.ORCID https://orcid.org/0000-0001-6626-6408
Alexander RomanovE. Meshalkin National Medical Research Ministry of Health of the Russian Federation Novosibirsk Russian Federation.ORCID https://orcid.org/0000-0002-6958-6690
Russian Academy of Sciences · RUMinistry of Health of the Russian Federation · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Epicardial adipose tissue (EAT) has been considered as one of the probable triggers of atrial fibrillation (AF). CT-rediomics is a perspective noninvasive method of assessment of EAT. We evaluate the radiomic phenotype of EAT in patients with lone AF in the prognosis of AF recurrence after catheter ablation. Methods: A total of 43 patients with lone AF referred for CA and 20 out-hospital patients without arrhythmia underwent multidetector computed tomography coronary angiography. Segmentation of EAT and extraction radiomic features were performed on calcium scoring series using by 3D-Slicer. Clinical follow-up was performed for 12 months period after the CA. Results: EAT in patients with lone AF had a distinct radiomic phenotype. Thus, 45 of 93 calculated radiomic features, volume and attenuation of EAT were significantly different between patients with lone AF and persons without any arrhythmia. In addition, 17 radiomic features were significantly different in subgroups with and without AF recurrence. Multivariate regression analysis demonstrated that only gray level nonuniformity normalized (GLSZM) was an independent predictor of AF recurrence (OR 1.0027, 95%CI 1.0009-1.0044, Conclusion: The radiomic parameter GLSZM is associated with late AF recurrence after CA in patients with lone AF. In current study GLSZM was a stronger predictor of lone AF recurrence in multivariate analysis comparing with other established risk factors and EAT volume and attenuation.

Indexed as

atrial fibrillationCTepicardial adipose tissueradiomics

Identifiers

PMID36237852
PMCPMC9535779
OpenAlexW4293063728

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.