Zhao L, Sun J, Wang K, et al. - This study’s findings demonstrate that for patients with non-muscle-invasive bladder cancer (NMIBC), the development of a new nomogram based on Controlling Nutritional Status (CONUT) score could increase the accuracy of recurrence prediction and improve individualized treatment plans.

• Between January 2011 and December 2015, researchers retrospectively examined a total of 94 patients with NMIBC.

• The univariate analysis showed that the age, history of smoking, pathological T stage, tumor grade, tumor size, and CONUT score were significantly associated with recurrence-free survival (RFS).

• In this multivariate analysis, data demonstrated that CONUT score (HR =3.855, 95% CI 1.242– 11.970, p=0.020) was an independent predictor of RFS in patients with NMIBC.

• A new age-, history of smoking-, pathologic factors- and the CONUT score-based scoring model was developed to predict recurrence of NMBIC, based on significant parameters in multivariate analysis and reliable recurrence predictors determined in predictive models and relevant guidelines.

• Furthermore, they internally validated the nomogram using the consistency index and calibration plots, which indicated that the model has high prediction accuracy (c-index= 0.851).