EGF and laryngotracheoesophageal cleft: The associated logistic regression model generated an algorithm to estimate a classification score (p) for each patient, given by the estimated probability of presenting LC, as a function of the selected biomarkers (CAL, sCD26 and EGF), defined as follows:p=11+e−{α0+α1I{woman} +α2age+∑i=1qβiXi}Where X1,..., Xi are the logarithmically transformed (base 10) concentrations of markers, α0 is the specific constant of the model and α and β are the coefficients for demographic variables (age and gender) and each of the selected biomarkers, respectively.