Evidence mapPaperPMID 40161571Full record

ArticleWorld journal of cardiology2025

Evaluating inflammatory status to predict atrial fibrillation recurrence following ablation: The role of systemic immune-inflammation index.

Amedeo Tirandi, Federico Carbone, Luca Liberale, Fabrizio Montecucco

Abstract read
In one paragraph

Article in World journal of cardiology, 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
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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Evaluation of CHAJournal of clinical medicine · 2025
    Article
  4. Article
  5. Interpretable Machine Learning Models for Predicting Malignant Ventricular Arrhythmia in Patients with Acute ST-Segment Elevation Myocardial Infarction Based on Systemic Inflammation Index.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
    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

4 authors.

Amedeo TirandiCenter for Molecular Cardiology, University of Zurich, Schlieren 8952, Zürich, Switzerland.
Federico CarboneFirst Clinic of Internal Medicine, Department of Internal Medicine, University of Genoa, Genoa 16132, Liguria, Italy.
Luca LiberaleFirst Clinic of Internal Medicine, Department of Internal Medicine, University of Genoa, Genoa 16132, Liguria, Italy.
Fabrizio MontecuccoFirst Clinic of Internal Medicine, Department of Internal Medicine, University of Genoa, Genoa 16132, Liguria, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Atrial fibrillation (AF) is the most common arrhythmia in humans, affecting more than 40 million people worldwide. Radiofrequency catheter ablation (RFCA) was first introduced as a treatment for AF by Haïssaguerre M in the late 1990s. This procedure quickly became the treatment of choice, especially for symptomatic patients with AF refractory to medication. However, up to 45% of patients may experience AF recurrence within 12 months after RFCA. In this setting, AF recurrence is likely multifactorial, including atrial remodeling, local fibrosis or incomplete ablation due to failure in locating the trigger. Additionally, patients with obesity, sleep apnea, hypertension, or diabetes are at an increased risk of AF recurrence after RFCA. Inflammation is increasingly recognized as a potential key factor in AF recurrence and may arise both from the healing response of heart tissue post-ablation or from chronic low-grade inflammation, as observed in many risk factors. Here, we present an original study by Wang

Indexed as

APPLE scoreAtrial fibrillationInflammationRadiofrequency catheter ablationSystemic immune inflammation index

Identifiers

PMID40161571
PMCPMC11947950

What Socratic holds

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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 Socratic graph.