Evidence map›Paper›PMID 38103153›Full record

Observational studyCardiovascular drugs and therapy2025

Establishment and Validation of the Nomogram Model and the Probability of Silent Cerebral Infarction After Ablation Atrial Fibrillation.

Wei Bao, Xiaoqin Hu, Liqi Ge, Shiyun Tang, Xinliang Zhao, Shuo Huang, Chen Liu, Fei Li, Chaoqun Zhang, Chengzong Li

Abstract readObservational StudyValidation Study
PubMed Publisher
In one paragraph

Observational study in Cardiovascular drugs and therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.3field-weighted citation impact, top 17% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Unveiling the roles of CTRP family in cardiac remodeling.Journal of molecular medicine (Berlin, Germany) · 2025
    Review
  2. Article
  3. Levosimendan for Diastolic Dysfunction?Cardiovascular drugs and therapy · 2024
    Article
  4. Article
  5. 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

10 authors at 1 institution in 1 country.

Wei Bao *Department of Cardiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221000, Jiangsu, China.
Xiaoqin Hu *Department of Cardiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221000, Jiangsu, China.
Liqi Ge *Department of Cardiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221000, Jiangsu, China.
Shiyun TangDepartment of Cardiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221000, Jiangsu, China.
Xinliang ZhaoDepartment of Cardiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221000, Jiangsu, China.
Shuo HuangDepartment of Cardiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221000, Jiangsu, China.
Chen LiuDepartment of Cardiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221000, Jiangsu, China.
Fei LiDepartment of Cardiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221000, Jiangsu, China.
Chaoqun ZhangDepartment of Cardiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221000, Jiangsu, China.
Chengzong LiDepartment of Cardiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221000, Jiangsu, China. lichengzong@xzhmu.edu.cn.ORCID 0000-0003-3360-1980
Xuzhou Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe objective of this study is to establish and validate a nomogram model for predicting the probability of silent cerebral infarction following ablation of atrial fibrillation. METHODS AND

resultsA retrospective observational study was conducted on the data of 238 patients with atrial fibrillation who underwent radiofrequency ablation in our hospital from October 2019 to December 2022. LASSO regression and multivariate logistics regression analysis were used to assess the independent risk factors for silent cerebral infarction after ablation. The AUC of the predictive model was 0.733 (95% CI, 0.649-0.816) and the internal validation (bootstrap = 1000) of the bootstrap method was 0.733 (95% CI 0.646-0.813). The Hosmer-Lemeshow test yields an insignificant p-value of X-squared = 10.212 and p-value = 0.2504, thus indicating an insignificant difference between predicted and observed values and good calibration results. The clinical impact curve (CIC) and clinical decision curve also prove that this graph is useful in the clinical setting.

conclusionWe developed an easy-to-use nomogram model to predict the probability of silent cerebral infarction following radiofrequency ablation of atrial fibrillation. This model can provide a valid assessment of the probability of postoperative silent cerebral infarction in patients undergoing radiofrequency ablation of atrial fibrillation.

Indexed as

Atrial FibrillationCatheter AblationCerebral InfarctionNomogramsAgedFemaleHumansMaleMiddle AgedPredictive Value of TestsReproducibility of ResultsRetrospective StudiesRisk AssessmentRisk FactorsTreatment OutcomeAtrial fibrillationAverage ACTNomogramRadiofrequency catheter ablationSilent cerebral infarction

Identifiers

PMID38103153
OpenAlexW4389829486

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.