ArticleFrontiers in medicine2025
Development and validation of a nomogram for predicting atrial fibrillation after percutaneous coronary intervention in patients with acute myocardial infarction.
Article in Frontiers in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Repurposing Coronary Risk Scores to Identify Increased Likelihood of Atrial Fibrillation in Chronic Coronary Syndrome.Medical sciences (Basel, Switzerland) · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Atrial fibrillation (AF) is a frequent complication in patients with acute myocardial infarction (AMI) undergoing percutaneous coronary intervention (PCI), contributing to adverse outcomes. Early identification of individuals at high risk for post-PCI AF is crucial for tailored monitoring and intervention strategies. This study aimed to develop and validate a predictive nomogram for new-onset AF in AMI patients treated with PCI. Methods: A retrospective observational cohort of 268 AMI patients undergoing PCI between January 2023 and December 2024 was analyzed. Patients were divided into AF ( Results: Six independent predictors were identified: Gensini score, left atrial diameter, serum creatinine (SCr), prognostic nutritional index (PNI), symptom onset-to-PCI time, and post-PCI thrombolysis in myocardial infarction (TIMI) flow grade. The resulting nomogram demonstrated excellent discrimination (AUC = 0.916) and strong calibration (Hosmer-Lemeshow χ Conclusion: This study identified Gensini score, left atrial diameter, SCr, PNI, onset-to-PCI time, and final TIMI flow grade as independent predictors of post-PCI AF, and developed a nomogram with excellent predictive accuracy requiring validation in larger multicenter cohorts.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.