Subjective Global Assessment (SGA) is widely used and validated method for identifying and classifying malnutrition. It has been thought that this semi-quantitative feature restricts the SGA’s reliability and precision. Recently, in an effort to assess the nutritional status modified quantitative subjective global assessment system has been devised in which scores are assigned for items or components of the SGA. This prospective study evaluated both conventional and quantitative SGA systems. Using the components of the conventional SGA, we operated a fully quantitative scoring system consisting of seven variables: weight changes, dietary intake, gastrointestinal symptoms, functional capacity, co morbidity, subcutaneous fat, and sign of muscle wasting. Each component was assigned a score from 1 (normal) to 5 (very severe). The sum of all seven components in this malnutrition score lies between 7 (normal) and 35 (severely malnourished). To evaluate nutritional status patients on renal transplantation waiting list, mid-arm circumference (MAC), body mass index (BMI) and laboratory parameters were used. Twenty-seven patients (9 women and 18 men) were randomly selected from the waiting list. Patients’ ages were between 16 and 62 years (43.1 ± 11.6) and on hemodialysis between 1 and 196 months (55.9 ± 44.9). Correlation coefficients between the malnutrition score and duration of hemodialysis (r = +0.72), sex (r = +0.44), total iron binding capacity (r = -0.44) were significant, whereas the conventional SGA had significant correlation only with duration of hemodialysis (r = +0.42). Multiple regression analysis showed a significant correlation between malnutrition score and the combination of duration of hemodialysis, sex, total iron binding capacity (r = 0.77, p<0.001). In conclusion, the quantitative SGA scoring system may be better than the conventional SGA to evaluate patients on the waiting list. More comparative studies are required to confirm the validity of this scoring system in nutritional evaluation of renal transplant candidates.