Evidence map›Paper›PMID 30562104›Full record

ArticleCirculation. Arrhythmia and electrophysiology2018

Predictive Score for Identifying Survival and Recurrence Risk Profiles in Patients Undergoing Ventricular Tachycardia Ablation: The I-VT Score.

Pasquale Vergara, Wendy S Tzou, Roderick Tung, Chiara Brombin, Alessandro Nonis, Marmar Vaseghi, David S Frankel, Luigi Di Biase, Usha Tedrow, Nilesh Mathuria and 15 more

Abstract readComparative Study
In one paragraph

Article in Circulation. Arrhythmia and electrophysiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing 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

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

  1. 2019 HRS/EHRA/APHRS/LAHRS expert consensus statement on catheter ablation of ventricular arrhythmias.Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing · 2020
    Pooled it
  2. Article
  3. Article
  4. Article
  5. Impact of frailty on outcomes after ventricular tachycardia ablation: A prospective observational study.Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing · 2026
    Observational
  6. Article
  7. Article
  8. Article
  9. Article
  10. Impact of ventricular tachycardia ablation in the setting of electrical storm based on patient risk profile.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 · 2025
    Observational
  11. Article
  12. Review
  13. Article
  14. Acute haemodynamic decompensation in the era of substrate-based ablation: rare but still worrisome.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 · 2024
    Article
  15. Article
  16. Article
  17. Management of patients with an electrical storm or clustered ventricular arrhythmias: a clinical consensus statement of the European Heart Rhythm Association of the ESC-endorsed by the Asia-Pacific Heart Rhythm Society, Heart Rhythm Society, and Latin-American Heart Rhythm Society.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 · 2024
    Article
  18. Review
  19. Article
  20. Management of ventricular tachycardias: insights on centre settings, procedural workflow, endpoints, and implementation of guidelines-results from an EHRA survey.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 · 2024
    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

25 authors.

Pasquale VergaraSan Raffaele Hospital, Milan, Italy (P.V., P.D.B.).
Wendy S TzouUniversity of Colorado, Aurora (W.S.T., W.H.S.).
Roderick TungUniversity of Chicago Medical Center, IL (R.T.).
Chiara BrombinUniversity Centre for Statistics in the Biomedical Sciences, Vita-Salute San Raffaele University, Milano, Italy (C.B., A.N.).
Alessandro NonisUniversity Centre for Statistics in the Biomedical Sciences, Vita-Salute San Raffaele University, Milano, Italy (C.B., A.N.).
Marmar VaseghiUCLA Cardiac Arrhythmia Center, UCLA Health System, Los Angeles, CA (M.V., K.S.).
David S FrankelPerelman School of Medicine at the University of Pennsylvania, Philadelphia (D.S.F., P.S., D.C., F.M.).
Luigi Di BiaseAlbert Einstein College of Medicine/Montefiore Medical Center, New York (L.D.B.).
Usha TedrowBrigham and Women's Hospital, Boston, MA (U.T.).
Nilesh MathuriaBaylor St Luke's Medical Center/Texas Heart Institute, Houston (N.M.).
Shiro NakaharaDokkyo Medical University Koshigaya Hospital, Saitama, Japan (S.N.).
Venkat TholakanahalliUniversity of Minnesota Medical Center, Minneapolis VA Medical Center, Minneapolis (V.T.).
T Jared BunchIntermountain Heart Institute, Intermountain Medical Center, Murray, UT (T.J.B., J.P.W.).
J Peter WeissIntermountain Heart Institute, Intermountain Medical Center, Murray, UT (T.J.B., J.P.W.).
Timm DickfeldUniversity of Maryland Medical Center, Baltimore (T.D.).
Dhanunjaya LakireddyUniversity of Kansas Medical Center, Kansas City (D.L.).
J David BurkhardtTexas Cardiac Arrhythmia Institute, St David's Medical Center, Austin (J.D.B.).
Pasquale SantangeliPerelman School of Medicine at the University of Pennsylvania, Philadelphia (D.S.F., P.S., D.C., F.M.).
David CallansPerelman School of Medicine at the University of Pennsylvania, Philadelphia (D.S.F., P.S., D.C., F.M.).
Andrea Natale
Francis Marchlinski
William G StevensonVanderbilt University Medical Center, Nashville, TN (W.G.S.).
Kalyanam ShivkumarUCLA Cardiac Arrhythmia Center, UCLA Health System, Los Angeles, CA (M.V., K.S.).
William H SauerUniversity of Colorado, Aurora (W.S.T., W.H.S.).
Paolo Della BellaSan Raffaele Hospital, Milan, Italy (P.V., P.D.B.).

Funding

ELECTROPHYSIOLOGICAL EFFECTS OF NEURAL REMODELING OF THE VENTRICLESR01HL084261 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI SHIVKUMAR, KALYANAM · 2006 to 2016
$3.4M
NHLBI NIH HHS R01 HL084261
6 · The paper itself

Abstract

backgroundSeveral distinct risk factors for arrhythmia recurrence and mortality following ventricular tachycardia (VT) ablation have been described. The effect of concurrent risk factors has not been assessed so far; thus, it is not yet possible to estimate these risks for a patient with several comorbidities. The aim of the study was to identify specific risk groups for mortality and VT recurrence using the Survival Tree (ST) analysis method.

methodsIn 1251 patients 16 demographic, clinical and procedure-related variables were evaluated as potential prognostic factors using ST analysis using a recursive partitioning algorithm that searches for relationships among variables. Survival time and time to VT recurrence in groups derived from ST analysis were compared by a log-rank test. A random forest analysis was then run to extract a variable importance index and internally validate the ST models.

resultsLeft ventricular ejection fraction, implantable cardioverter defibrillator/cardiac resynchronization device, previous ablation were, in hierarchical order, identified by ST analysis as best predictors of VT recurrence, while left ventricular ejection fraction, previous ablation, Electrical storm were identified as best predictors of mortality. Three groups with significantly different survival rates were identified. Among the high-risk group, 65.0% patients were survived and 52.1% patients were free from VT recurrence; within the medium- and low-risk groups, 84.0% and 97.2% patients survived, 72.4% and 88.4% were free from VT recurrence, respectively.

conclusionsOur study is the first to derive and validate a decisional model that provides estimates of VT recurrence and mortality with an effective classification tree. Preprocedure risk stratification could help optimize periprocedural and postprocedural care.

Indexed as

AgedAged, 80 and overAge FactorsCatheter AblationCohort StudiesDatabases, FactualDecision TreesElectrocardiographyFollow-Up StudiesHumansKaplan-Meier EstimateMaleMiddle AgedPredictive Value of TestsRecurrenceRetrospective Studiescardiomyopathiescatheter ablationmortalityrisk assessmentventricular tachycardia

Identifiers

PMID30562104
PMCPMC6301075

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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.