Aims: This study aimed to evaluate the cost-effectiveness of lenvatinib plus pembrolizumab (LP) vs. chemotherapy for patients with previously treated mismatch repair proficient advanced endometrial cancer in China.Methods: A lifetime of partitioned survival Markov was used to evaluate the overall lifetime, total costs, quality adjusted life years (QALYs), and incremental cost effectiveness ratio (ICER) across a 10-years time horizon in the study 309–KEYNOTE-775 clinical trial. Direct costs and utility values were gathered from available literature. The willingness to pay (WTP) was defined at $37,663.26 per QALY. Sensitivity analyses were carried out to determine the model’s uncertainty.Results: According to the baseline analysis, the LP group gained 4.02 total life years and 3.13 QALYs for $93,496.69, whereas the chemotherapy group gained 2.86 total life years and 2.24 QALYs for $30,578.04. LP versus chemotherapy resulted in an incremental cost of $62,918.65, with an ICER of $70,962.09/QALY, which was higher than China’s WTP threshold ($37,663.26/QALY). The ICERs were most sensitive to the cost of pembrolizumab and the cycle of LP delivered, according to the sensitivity analysis. However, changing the range of those parameters has no influence on the model’s results.Conclusion: Our present analysis suggests that LP treatment is not cost-effective for patients with previously treated mismatch repair proficient advanced endometrial cancer. However, LP treatment may be a cost-effective treatment option if the price is reduced.
Background
This study evaluated the value of PNI to predicting relapse-free survival (RFS) and overall survival (OS) in patients with resectable gastroesophageal junction adenocarcinoma (AGE).
Methods
Between 2016 and 2020, there were 236 resectable AGE patients underwent a retrospective review via propensity score matched (PSM) analysis. The PNI values were computed for each patient prior to surgery [PNI= 10×albumin (gr/dL) + 0.005×total lymphocyte count (mm3)]. By using disease progression and mortality as the end points, a receiver operating characteristic(ROC) curve was plotted to identify the PNI cut-off value. Kaplan-Meier curves and Cox proportional hazard models were used for survival analysis.
Results
The ROC curve indicated that the ideal cutoff value was 45.60. After propensity score matching, there were 143 patients in our retrospective study, which included 58 patients in the low-PNI group and 85 patients in the high-PNI group. When compared to the low PNI group, the high PNI group substantially increased RFS and OS (p<0.001, p=0.003, respectively) according to the Kaplan-Meier analysis and Log rank test. Advanced pathological N stage (p=0.011) and poor PNI (p=0.004) were also significant risk factors for a shorter OS, according to a univariate analysis. Multivariate analysis revealed that the N0 plus N1 group had an endpoint mortality risk that was 0.39 times lower than the N2 plus N3 group’s (p=0.008). In comparison to the high PNI group, the hazard of endpoint mortality was 2.442 times greater in the low PNI group (p = 0.003).
Conclusion
PNI is a simplistic and practical predictive predictor of the RFS and OS time in patients with resectable AGE.
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