SynthesisAnnals of medicine2025
Development and validation of a novel prediction model for new-onset atrial fibrillation after lung resection.
Synthesis in Annals of medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.
What it found
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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
2 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Guideline for the Comprehensive Perioperative Management of Older Patients With Lung Cancer (2025).Journal of evidence-based medicine · 2026Guideline
- Risk prediction models for postoperative atrial fibrillation in patients with lung cancer: a systematic review and meta-analysis.Frontiers in cardiovascular medicine · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPostoperative atrial fibrillation (POAF) is the most prevalent and potentially life-threatening arrhythmia following thoracic surgery. This study aimed to construct and validate a predictive model for assessing POAF risk.
methodsA meta-analysis was conducted to rank risk factors associated with POAF based on their respective risk ratios (RRs). Significant risk factors identified from the meta-analyses were incorporated into the model and assigned weights. External validation was performed using a retrospective cohort from China. Receiver operating characteristic (ROC) curves, calibration plots and decision curve analysis (DCA) were employed to assess the model's predictive performance, calibration and clinical utility.
resultsWe screened 40 cohort studies involving 58,899 patients. We developed a risk model that incorporated age ≥ 70 years (RR 2.10, 95% CI 1.34-3.30;
conclusionsThis model, built with easily accessible clinical variables, could accurately predict the risk of POAF. This holds promise for improving clinical decision making and guiding early interventions.
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Registered trials
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