Evidence map›Paper›PMID 29293545›Full record

ArticlePloS one2018

Left atrial voltage, circulating biomarkers of fibrosis, and atrial fibrillation ablation. A prospective cohort study.

Gordon A Begg, Rashed Karim, Tobias Oesterlein, Lee N Graham, Andrew J Hogarth, Stephen P Page, Christopher B Pepper, Kawal Rhode, Gregory Y H Lip, Arun V Holden and 2 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 3 pooled it
4.3field-weighted citation impact, top 5% 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

26 citing papers in PubMed, 3 syntheses or guidelines pooled it, 43 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Review
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  7. Article
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  9. Observational
  10. Article
  11. Article
  12. Left Atrial Cardiomyopathy - A Challenging Diagnosis.Frontiers in cardiovascular medicine · 2022
    Review
  13. Article
  14. Atrial Fibrosis, Ischaemic Stroke and Atrial Fibrillation.Arrhythmia & electrophysiology review · 2021
    Review
  15. Review
  16. Article
  17. Review
  18. Article
  19. Atrial Myopathy Underlying Atrial Fibrillation.Arrhythmia & electrophysiology review · 2020
    Review
  20. 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

12 authors at 5 institutions in 3 countries.

Gordon A BeggDepartment of Cardiology, Leeds General Infirmary, Leeds, United Kingdom.ORCID 0000-0001-5260-4293
Rashed KarimDepartment of Biomedical Engineering, King's College, London, United Kingdom.
Tobias OesterleinInstitute of Biomedical Engineering, Karlsruhe Institute of Technology, Karlsruhe, Germany.
Lee N GrahamDepartment of Cardiology, Leeds General Infirmary, Leeds, United Kingdom.
Andrew J HogarthDepartment of Cardiology, Leeds General Infirmary, Leeds, United Kingdom.
Stephen P PageDepartment of Cardiology, Leeds General Infirmary, Leeds, United Kingdom.
Christopher B PepperDepartment of Cardiology, Leeds General Infirmary, Leeds, United Kingdom.
Kawal RhodeDepartment of Biomedical Engineering, King's College, London, United Kingdom.
Gregory Y H LipUniversity of Birmingham Institute of Cardiovascular Science, City Hospital, Birmingham, United Kingdom.
Arun V HoldenSchool of Biomedical Sciences, University of Leeds, Leeds, United Kingdom.
Sven PleinLeeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, United Kingdom.
Muzahir H TayebjeeDepartment of Cardiology, Leeds General Infirmary, Leeds, United Kingdom.
Leeds General Infirmary · GBKing's College London · GBUniversity of Leeds · GBBirmingham City Hospital · GBKarlsruhe Institute of Technology · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsTo test the ability of four circulating biomarkers of fibrosis, and of low left atrial voltage, to predict recurrence of atrial fibrillation after catheter ablation.

backgroundCirculating biomarkers potentially may be used to improve patient selection for atrial fibrillation ablation. Low voltage areas in the left atrium predict arrhythmia recurrence when mapped in sinus rhythm. This study tested type III procollagen N terminal peptide (PIIINP), galectin-3 (gal-3), fibroblast growth factor 23 (FGF-23), and type I collagen C terminal telopeptide (ICTP), and whether low voltage areas in the left atrium predicted atrial fibrillation recurrence, irrespective of the rhythm during mapping.

methods92 atrial fibrillation ablation patients were studied. Biomarker levels in peripheral and intra-cardiac blood were measured with enzyme-linked immunosorbent assay. Low voltage (<0.5mV) was expressed as a proportion of the mapped left atrial surface area. Follow-up was one year. The primary endpoint was recurrence of arrhythmia. The secondary endpoint was a composite of recurrence despite two procedures, or after one procedure if no second procedure was undertaken.

resultsThe biomarkers were not predictive of either endpoint. After multivariate Cox regression analysis, high proportion of low voltage area in the left atrium was found to predict the primary endpoint in sinus rhythm mapping (hazard ratio 4.323, 95% confidence interval 1.337-13.982, p = 0.014) and atrial fibrillation mapping (hazard ratio 5.195, 95% confidence interval 1.032-26.141, p = 0.046). This effect was also apparent for the secondary endpoint.

conclusionThe studied biomarkers do not predict arrhythmia recurrence after catheter ablation. Left atrial voltage is an independent predictor of recurrence, whether the left atrium is mapped in atrial fibrillation or sinus rhythm.

Indexed as

AdultAgedAtrial FibrillationBiomarkersBlood ProteinsCatheter AblationCollagen Type IFemaleFibroblast Growth Factor-23Fibroblast Growth FactorsFibrosisGalectin 3GalectinsHeart AtriaHumansMaleBiomarkersBlood ProteinsCollagen Type Icollagen type I trimeric cross-linked peptideFGF23 protein, humanFibroblast Growth Factor-23Fibroblast Growth FactorsGalectin 3GalectinsLGALS3 protein, humanPeptide FragmentsPeptidesProcollagenprocollagen Type III-N-terminal peptide

Identifiers

PMID29293545
PMCPMC5749720
OpenAlexW2619964388

What OpenQuestion holds

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LicenceCC BY
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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.