Combination of palonosetron plus dexamethasone is highly effective in controlling acute and delayed CINV, with palonosetron superior to ondansetron.

No abstract

Background: Patients with high-risk neuroblastoma (NB) have a poor prognosis. The prognostic signi cance of in ammatory biomarker-based nomograms for children with NB has not been previously studied.Methods: Part of patients diagnosed with NB in our center from January 2016 to March 2022 were included in the study. In ammatory biomarkers were primary outcome measures, including C-reactive protein (CRP), ferritin, neutrophil to lymphocyte ratio (NLR), and lymphocyte to monocyte ratio (LMR), platelet to lymphocyte ratio (PLR) and systemic immune-in ammation index (SII). Univariate and multivariate survival analyses were performed to assess the prognostic value of these indicators for overall survival (OS) in NB children, showing the Kaplan-Meier survival curves and plotting the nomogram. C-index were used to detect predictability. Results: 93 NB patients were retrospectively analyzed.CRP, ferritin, NLR, PLR, and SII were signi cantly associated with OS of NB patients, while LMR were found to be not predictive of OS for NB patients. The established nomogram is well-calibrated, and the C-index is 0.731. Conclusion: Survival analysis found part of in ammatory biomarkers related to the prognosis of NB. The nomogram could be used as a convenient predictive tool in clinical practice to evaluate the prognosis of NB children at rst diagnosis. Impact 1. CRP, ferritin, NLR, PLR, and SII are associated with the prognosis of neuroblastoma.2. We have created a nomogram that can be used to predict the prognosis of affected children and play a role in determining the treatment plan.3. Our results differ from a previous study in that we increased the sample size for the study and had good internal validation results for the nomogram.

Objective To investigate the association of the preoperative systemic immune‐inflammation index (SII) with recurrence‐free survival (RFS) after transurethral resection of the bladder tumor (TURBT) of non‐muscle‐invasive bladder cancer (NMIBC) using propensity score matching (PSM) analysis. Methods The clinicopathological characteristics and follow‐up data of NMIBC patients were collected retrospectively from two tertiary medical centers. A 1:1 PSM analysis was carried out using the nearest‐neighbor method (caliper size: 0.02). Cox regression analysis was used to identify the risk factors associated with RFS. Results A total of 416 NMIBC patients were included in this study. Before and after matching, patients with increased SII had worse RFS ( p < 0.0001 and p = 0.027, respectively). Multivariate Cox analysis identified SII as an independent predictor of RFS before (HR [95% CI]: 1.789 [1.232, 2.599], p = 0.002) and after matching (HR [95% CI]: 1.646 [1.077, 2.515], p = 0.021). In the matched subgroup analysis, an elevated SII had a significant association with postoperative worse RFS in the T1 stage ( p = 0.025), primary status ( p = 0.049), high‐grade ( p = 0.0015), and multiple lesions ( p = 0.043) subgroups. Conclusion SII could accurately stratify the prognosis of NMIBC patients before and after PSM analysis. An elevated SII was significantly associated with worse RFS in NMIBC patients.