Evidence map›Paper›PMID 41035697›Full record

ArticleFrontiers in cardiovascular medicine2025

Predictive value of inflammatory burden index for new-onset atrial fibrillation in STEMI patients.

Kun Liu, Zhiwen Tao, Gonghao Li, Mingzhu Li, Jiayu Yin, Lei Zhou

Abstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. 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

6 authors.

Kun Liu *Department of Cardiology, First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
Zhiwen Tao *Department of Cardiology, First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
Gonghao LiDepartment of Cardiology, The First People's Hospital of Lianyungang, Lianyungang, Jiangsu, China.
Mingzhu LiDepartment of Cardiology, The First People's Hospital of Lianyungang, Lianyungang, Jiangsu, China.
Jiayu YinDepartment of Cardiology, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
Lei ZhouDepartment of Cardiology, First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The inflammatory burden index (IBI) is a novel and useful inflammatory marker. However, the association between IBI and new-onset atrial fibrillation ( Materials and methods: This study is a single-center retrospective observational study. Patients diagnosed with STEMI and undergoing primary PCI between October 2022 and February 2025 were continuously enrolled. All enrolled patients received continuous electrocardiogram (ECG) monitoring (>72 h) and were grouped according to whether NOAF occurred during hospitalization. Logistic regression analysis was used to identify potential risk factors for NOAF. Meanwhile, restricted cubic spline (RCS) analysis was employed to thoroughly investigate the possible dose-response relationship between IBI and NOAF. Results: A total of 696 STEMI patients were finally included in this study. The incidence of NOAF during hospitalization was 62/696 (8.9%). After adjusting for potential confounding factors, the results of multivariate logistic regression analysis showed that left ventricular ejection fraction (OR = 0.928, 95% CI: 0.895-0.962), age (OR = 1.048, 95% CI: 1.022-1.075), and IBI (OR = 1.007, 95% CI: 1.003-1.011) were independent factors for NOAF in STEMI patients ( Conclusions: Elevated IBI is an independent risk factor for NOAF after PCI in STEMI patients. Integrating IBI can improve the risk stratification for NOAF in STEMI patients.

Indexed as

atrial fibrillationinflammation responseinflammatory burden indexrisk stratificationST-segment elevation myocardial infarction

Identifiers

PMID41035697
PMCPMC12479414

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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.