Evidence map›Paper›PMID 36187572›Full record

Observational studyClinical interventions in aging2022

Development and Validation of a Risk Nomogram Model for Predicting Recurrence in Patients with Atrial Fibrillation After Radiofrequency Catheter Ablation.

Zhihao Zhao, Fengyun Zhang, Ruicong Ma, Lin Bo, Zeqing Zhang, Chaoqun Zhang, Zhirong Wang, Chengzong Li, Yu Yang

Abstract readObservational StudyValidation Study
In one paragraph

Observational study in Clinical interventions in aging, 2022. 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
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Observational
  8. Review
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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

9 authors.

Zhihao ZhaoDepartment of Cardiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, People's Republic of China.ORCID 0000-0003-0178-1999
Fengyun ZhangDepartment of Cardiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, People's Republic of China.
Ruicong MaDepartment of Cardiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, People's Republic of China.
Lin BoDepartment of Cardiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, People's Republic of China.
Zeqing ZhangDepartment of Cardiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, People's Republic of China.
Chaoqun ZhangDepartment of Cardiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, People's Republic of China.
Zhirong WangDepartment of Cardiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, People's Republic of China.
Chengzong LiDepartment of Cardiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, People's Republic of China.
Yu YangDepartment of Cardiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study aimed to develop and validate a risk nomogram model for predicting the risk of atrial fibrillation recurrence after radiofrequency catheter ablation. Patients and Methods: A retrospective observational study was conducted using data from 485 patients with atrial fibrillation who underwent the first radiofrequency ablation in our hospital from January 2018 to June 2021. All patients were randomized into training cohort (70%; n=340) and validation cohort (30%; n=145). Univariate and multivariate logistic regression analyses were used to identify independent risk factors. The predictive nomogram model was established by using R software. The nomogram was developed and evaluated based on differentiation, calibration, and clinical efficacy by concordance statistic (C-statistic), calibration plots, and decision curve analysis (DCA), respectively. Results: The nomogram was established by four variables including left atrial diameter (OR 1.057, 95% CI 1.010-1.107, Conclusion: The nomogram model has good discrimination and accuracy, which can screen high-risk groups intuitively and individually, and has a certain predictive value for atrial fibrillation recurrence in patients after radiofrequency ablation.

Indexed as

Atrial FibrillationCatheter AblationHumansNomogramsStroke VolumeVentricular Function, Leftatrial fibrillationnomogramradiofrequency catheter ablationrecurrencerisk prediction model

Identifiers

PMID36187572
PMCPMC9521706

What OpenQuestion holds

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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.