APA (7th ed.) Citation

Porreca, A., Di Nicola, M., Lucarelli, G., Dorin, V. M., Soria, F., Terracciano, D., . . . Perdonà, S. (2024). Time to progression is the main predictor of survival in patients with high-risk nonmuscle invasive bladder cancer: Results from a machine learning-based analysis of a large multi-institutional database. Urologic Oncology, 42(3), 69.e17. https://doi.org/10.1016/j.urolonc.2024.01.001

Chicago Style (17th ed.) Citation

Porreca, Annamaria, et al. "Time to Progression Is the Main Predictor of Survival in Patients with High-risk Nonmuscle Invasive Bladder Cancer: Results from a Machine Learning-based Analysis of a Large Multi-institutional Database." Urologic Oncology 42, no. 3 (2024): 69.e17. https://doi.org/10.1016/j.urolonc.2024.01.001.

MLA (9th ed.) Citation

Porreca, Annamaria, et al. "Time to Progression Is the Main Predictor of Survival in Patients with High-risk Nonmuscle Invasive Bladder Cancer: Results from a Machine Learning-based Analysis of a Large Multi-institutional Database." Urologic Oncology, vol. 42, no. 3, 2024, p. 69.e17, https://doi.org/10.1016/j.urolonc.2024.01.001.