ArticleEuropean journal of medical research2025
Development and validation of a novel nomogram to predict coronary artery calcification: a single center study.
Article in European journal of medical research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
objectiveTo identify the factors influencing coronary artery calcification (CAC), develop a predictive model for CAC, and evaluate its effectiveness.
methodsThis retrospective study included 1,526 patients who underwent coronary CT scans at our hospital between January 2020 and October 2024. Patient data included basic demographic information (age, sex, BMI, smoking, alcohol consumption, hypertension, coronary artery disease, hyperlipidemia, diabetes, cerebrovascular disease, etc.) and laboratory test results (TSH, FT4, FT3, LDL, HDL, VLDL, TG, TCHO, etc.). Lasso and logistic regression analyses were conducted to identify significant factors, and a nomogram was developed. The model's performance was evaluated using calibration plots, ROC curves, AUC values, and decision curve analysis (DCA).
resultsUnivariate analysis showed that the non-calcification group had a longer history of hyperlipidemia and alcohol consumption, and higher triglyceride levels. In the calcification group, patients were older, predominantly male, had higher triglyceride blood glucose index (TyG) levels, and had longer durations of coronary artery disease, hypertension, diabetes, cerebral infarction, and smoking (P< 0.05). Multivariate analysis revealed that age, sex, and the duration of coronary artery disease, hypertension, diabetes, hyperlipidemia, smoking, and alcohol consumption were significantly associated with coronary artery calcification (P< 0.05).
conclusionThis study identified sex, age, and the duration of coronary artery disease, hypertension, diabetes, hyperlipidemia, smoking, and alcohol consumption as key factors influencing coronary artery calcification. The predictive model developed using these factors demonstrated strong predictive performance.
Indexed as
Identifiers
What Socratic 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 Socratic graph.