CINECA IRIS Institutional Research Information System
IRIS è la soluzione IT che facilita la raccolta e la gestione dei dati relativi alle attività e ai prodotti della ricerca. Fornisce a ricercatori, amministratori e valutatori gli strumenti per monitorare i risultati della ricerca, aumentarne la visibilità e allocare in modo efficace le risorse disponibili.
EnglishObjectives: To evaluate clinical predictors of disease reclassification or progression (DR/P) in prostate cancer patients elected to active surveillance (AS). Material and Methods: Patients were assessed on the basis of DR/P criteria. Predictors of DR/P were evaluated by multivariate logistic regression and Cox proportional hazards. Results: The median DR/P free time was 16.5 months. DR/P was detected in 30 out of 84 cases (35.7%). In DR/P cases, the median prostate volume (PV) was significantly lower (34.7 vs. 42.7 ml) and the percentage of cases with 2 or 3 vs. 1 initial biopsy positive cores (BPC) was significantly higher (36.7 vs. 7.4%). The multivariate logistic regression model showed that PV (OR 0.9; p = 0.021) and initial n >1 BPC (OR 9.8; p = 0.001) were independent predictors of DR/P. By Cox multivariate proportional hazards, only n >1 BPC predicted early DR/P (hazard ratio 3.1; p = 0.003). Conclusions: In a contemporary cohort of patients elected to AS, independent factors stratifying the risk of DR/P were PV and initial BPC, which also predicted early DR/P. In patients elected to AS, the identification of risk factors of DR/P require early re-biopsy. Confirmatory studies are required.
| Titolo: | Clinical Factors of Disease Reclassification or Progression in a Contemporary Cohort of Prostate Cancer Patients Elected to Active Surveillance |
| Autori: | |
| Data di pubblicazione: | 2017 |
| Rivista: | |
| Handle: | http://hdl.handle.net/11697/156906 |
| Appare nelle tipologie: | 1.1 Articolo in rivista |
File in questo prodotto:
Copyright © 2021