ArticleBiomarkers in medicine2025
Coronary artery ectasia prediction: the role of the Intermountain Risk Score in identifying patients at risk.
Article in Biomarkers in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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
3 citing papers in PubMed.
- Predictive Value of the Intermountain Mortality Risk Score for Saphenous Vein Graft Degeneration: A Retrospective Cohort Analysis.Medeniyet medical journal · 2026Article
- Association between prognostic nutritional index and mortality in critically ill patients with atrial fibrillation: a retrospective cohort study.BMC cardiovascular disorders · 2026Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimsThis study evaluates the association between the Intermountain Risk Score (IMRS) and coronary artery ectasia (CAE) to determine its predictive value. MATERIALS &
methodsA retrospective study was conducted at a tertiary hospital from January 2019 to January 2024. A total of 446 patients (226 with CAE, 220 controls) were included. Clinical, laboratory, and angiographic data were analyzed. IMRS was calculated based on routine demographic and laboratory parameters. Statistical analyses included logistic regression and receiver operating characteristic (ROC) curve analysis.
resultsPatients with CAE had significantly higher IMRS scores (
conclusionsIMRS is a significant predictor of CAE and may serve as a practical risk stratification tool. Higher-risk patients could benefit from closer monitoring and targeted interventions. Further validation in prospective studies is needed.
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.