Background: Bladder cancer is the ninth most common malignant tumor worldwide. As an effective evidence-based multidisciplinary protocol, the enhanced recovery after surgery (ERAS) program is practiced in many surgical disciplines. However, the function of ERAS after radical cystectomy remains controversial. This systematic review and meta-analysis aims to research the impact of ERAS on radical cystectomy.Methods: A systematic literature search on PubMed, EMBASE, SCOPUS, and the Cochrane Library databases was conducted in April 2022 to identify the studies that performed the ERAS program in radical cystectomy. Studies were selected, data extraction was performed independently by two reviewers, and quality was assessed using a random effects model to calculate the overall effect size. The odds ratio and standardized mean difference (SMD) with a 95% confidence interval (CI) served as the summary statistics for the meta-analysis. A sensitivity analysis was subsequently performed.Results: A total of 25 studies with 4,083 patients were enrolled. The meta-analysis showed that the complications (OR = 0.76; 95% CI: 0.63–0.90), transfusion rate (OR = 0.59; 95% CI: 0.39–0.90), readmission rate (OR = 0.79; 95% CI: 0.64–0.96), length of stay (SMD = −0.79; 95% CI: −1.41 to −0.17), and time to first flatus (SMD = −1.16; 95% CI: −1.58 to −0.74) were significantly reduced in the ERAS group. However, no significance was found in 90-day mortality and urine leakage.Conclusion: The ERAS program for radical cystectomy can effectively decrease the risk of overall complications, postoperative ileus, readmission rate, transfusion rate, length of stay, and time to first flatus in patients who underwent radical cystectomy with relative safety.Systematic Review Registration: https://inplasy.com/, identifier INPLASY202250075.

Background: A novel inflammatory marker called the systemic immune-inflammation index (SII) was applied to predict the prognosis of different cancers. However, the role of SII in prostate cancer (PCa) remains unclear. This systematic review aims to explore the prognostic role of SII in different stage PCa.Methods: We comprehensively searched three public databases: PubMed, EMBASE, and the Cochrane Library. The hazard ratios (HRs) and odds ratios (ORs) with 95% confidence intervals (CIs) were extracted to evaluate the association between SII and the prognosis and clinicopathological characteristics in different stage PCa patients.Results: Ten studies and 7,986 patients were enrolled in our meta-analysis, 1,442 patients were diagnosed with metastatic-castration resistant prostate cancer (mCRPC), and 6544 patients were diagnosed with non-metastatic prostate cancer (nmPCa). According to the pooled results, we found that a high SII was associated with worse overall survival (OS) in mCRPC patients (HR = 1.94, 95% CI: 1.26–3.01, p = 0.003), and a high SII was associated with biochemical recurrence-free survival (BFS) in nmPCa patients (HR = 1.85, 95% CI: 1.06–3.24, p = 0.031). But there was no significant association observed between SII and progression-free survival (PFS) in mCRPC patients (HR = 1.90, 95% CI: 0.87–4.14, p = 0.107). And we found that the high SII was associated with advanced tumor stage of PCa (OR = 2.19, 95% CI: 1.11–4.33, p = 0.024), presence of lymph node involvement (OR = 2.72, 95% CI: 1.96–3.76, p < 0.001) and Gleason score (OR = 1.27, 95% CI: 1.13–1.44, p < 0.001).Conclusion: High SII was associated with bad OS in mCRPC patients, and associated with bad BFS and some adverse pathological features in nmPCa patients. We think SII can be a prognostic predictor for PCa patients. The application of SII will advance the diagnosis and treatment of different stage prostate cancer.

To evaluate the effects of neoadjuvant vascular endothelial growth factor‑tyrosine kinase inhibitor (VEGF‑TKI) treatment on surgery in patients with renal cell carcinoma (RCC), sources from Embase, PubMed and the Cochrane Library databases collected from inception to December, 2022 were used for analysis in the present study, according to the Preferred Reporting Items for Systematic Reviews and Meta‑Analyses guidelines. Data regarding surgical outcomes were collected. The pooled effect sizes were calculated in terms of the risk ratio (RR)/standard mean difference (SMD) with 95% confidence intervals (CIs) using the random‑effects model. Subgroup and sensitivity analyses were used to explore the source of heterogeneity within the data. In total, 9 identified articles involving 829 patients (336 in the neoadjuvant + surgery group; 493 in the surgery group) were included in the present study, according to the criteria. The results demonstrated that there were no significant differences in blood loss (SMD=‑0.11; 95% CI, ‑0.63‑0.41; P=0.68), postoperative length of hospital stay or total length of hospital stay (SMD=0.23; 95% CI, ‑0.55‑1.01; P=0.57) or complications (RR=1.16; 95% CI, 0.80‑1.67; P=0.44) between the two groups. However, neoadjuvant therapy reduced the operation time (SMD=‑0.67; 95% CI, ‑1.25‑ ‑0.09; P=0.02) and resulted in a greater proportion of patients choosing partial nephrectomy (RR=1.84; 95% CI, 1.47‑2.31; P<0.00001). In the subgroup analysis, the blood loss was significantly lower in patients with RCC with inferior vena cava tumor thrombus in the neoadjuvant group (SMD=‑1.10; 95% CI, ‑1.82‑ ‑0.38; P=0.003). In conclusion, the results of the present study indicated that neoadjuvant VEGF‑TKI treatment in patients with RCC shortened operation time, decreased blood loss and did not cause an increase in perioperative complications. In addition, this treatment modality may encourage patients to opt for partial nephrectomy to preserve renal function.

Background: With the widespread adoption of prostatic-specific antigen (PSA) screening, the detection rates of prostate cancer (PCa) have increased. Due to the low specificity and high false-positive rate of serum PSA levels, it was difficult to diagnose PCa accurately. To improve the diagnosis of PCa and clinically significant prostate cancer (CSPCa), we established novel models on the basis of the prostate health index (PHI) and multiparametric magnetic resonance imaging (mpMRI) in the Asian population.Methods: We retrospectively collected the clinical indicators of patients with TPSA at 4–20 ng/ml. Furthermore, mpMRI was performed using a 3.0-T scanner and reported in the Prostate Imaging Reporting and Data System version 2.1 (PI-RADS). Univariable and multivariable logistic analyses were performed to construct the models. The performance of different models based on PSA derivatives, PHI derivatives, PI-RADS, and a combination of PHI derivatives and PI-RADS was evaluated.Results: Among the 128 patients, 47 (36.72%) patients were diagnosed with CSPCa and 81 (63.28%) patients were diagnosed with non-CSPCa. Of the 81 (63.28%) patients, 8 (6.25%) patients were diagnosed with Gleason Grade 1 PCa and 73 (57.03%) patients were diagnosed with non-PCa. In the analysis of the receiver operator characteristic (ROC) curves in TPSA 4–20 ng/ml, the multivariable model for PCa was significantly larger than that for the model based on the PI-RADS (p = 0.004) and that for the model based on the PHI derivatives (p = 0.031) in diagnostic accuracy. The multivariable model for CSPCa was significantly larger than that for the model based on the PI-RADS (p = 0.003) and was non-significantly larger than that for the model based on the PHI derivatives (p = 0.061) in diagnostic accuracy. For PCa in TPSA 4–20 ng/ml, a multivariable model achieved the optimal diagnostic value at four levels of predictive variables. For CSPCa in TPSA 4–20 ng/ml, the multivariable model achieved the optimal diagnostic value at a sensitivity close to 90% and 80%.Conclusions: The models combining PHI derivatives and PI-RADS performed better in detecting PCa and CSPCa than the models based on either PHI or PI-RADS.