Predicting Biochemical Recurrence After Prostate Surgery
Author Information
Author(s): Tanan Bejrananda, Takahara Kiyoshi, Sowanthip Dutsadee, Motonaga Tomonari, Yagi Kota, Nakamura Wataru, Saruta Masanobu, Nukaya Takuhisa, Takenaka Masashi, Zennami Kenji, Ichino Manabu, Sasaki Hitomi, Sumitomo Makoto, Shiroki Ryoichi
Primary Institution: Division of Urology, Department of Surgery, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla, Thailand
Hypothesis
This study aimed to establish a robust predictive model for biochemical recurrence (BCR) in patients with prostate cancer who underwent robot-assisted radical prostatectomy.
Conclusion
The developed nomogram accurately predicts the likelihood of BCR-free status within 3 years following RARP.
Supporting Evidence
- 161 instances of BCR were observed during a median follow-up of 61.0 months.
- The 5-year BCR-free survival rate for the cohort was 25%.
- High PSA ≥20 ng/mL was identified as an independent predictor of BCR.
- Pathologic T stage 3–4 was also a significant predictor of BCR.
- The model exhibited a C-index of 0.743, indicating good predictive accuracy.
Takeaway
Doctors created a tool to help predict if prostate cancer will come back after surgery, which can help them take better care of patients.
Methodology
Cox proportional hazards regression was used to identify predictive variables for BCR, and a nomogram was constructed using R software.
Potential Biases
Data were obtained from a single center, which may limit generalizability.
Limitations
The long time span of the study may introduce variation due to changing surgical techniques and case volumes.
Participant Demographics
Median age was 67 years, with 66.9% of participants aged 65 or older.
Statistical Information
P-Value
0.034
Confidence Interval
95% CI: 0.741–0.745
Statistical Significance
p<0.001
Digital Object Identifier (DOI)
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