A clinical study from Kahramanmaraş Sütçü İmam University by Hatice Güneş, published in 2020, investigates the relationship between epicardial adipose tissue (EAT) and insulin resistance (IR). The dataset likely contains clinical and echocardiographic measurements from 94 obese pediatric patients, divided into groups based on IR status. It includes statistical results such as an optimal EAT cut-off value of >3.85 mm for predicting IR.
Use Cases
- Predicting insulin resistance status based on epicardial adipose tissue thickness.
- Analyzing correlations between echocardiographic measurements and metabolic disorders in pediatric populations.
- Building logistic regression models to identify independent predictors of insulin resistance using clinical variables.
- Validating diagnostic cut-off values for epicardial adipose tissue in obese children.
Strengths
- Study includes 94 patient records, providing a specific cohort size.
- Reports specific statistical results, including a p-value < 0.001 for EAT difference and an optimal cut-off value of >3.85 mm.
- Multivariate analysis was performed, adjusting for statistically significant variables from univariate analysis.
Limitations
- Row count and column-level documentation are absent; field semantics must be inferred after download.
- Data may reflect geographic or institutional bias inherent to a single-center study on paperswithcode.
- Last update date is unknown; freshness unverified.
Provenance
- Source
- Hatice Güneş, Kahramanmaraş Sütçü İmam University
- Collection Method
- Clinical study involving echocardiographic examinations of 94 obese pediatric patients.