Search

Purpose: In the present study, we aimed to evaluate the efficacy and safety of camrelizumab combined with oxaliplatin plus S‐1 in patients with resectable gastric or gastroesophageal junction cancer. Methods: In this single‐arm, phase II clinical trial, patients with locally advanced gastric or gastroesophageal junction adenocarcinoma were enrolled to receive three cycles of neoadjuvant camrelizumab and oxaliplatin plus S‐1 every 3 weeks, followed by surgical resection and adjuvant therapy with the same regimen. The primary endpoint was pathological complete response (pCR) (ypT0) rate and secondary endpoints were R0 resection rate, total pCR (tpCR, ypT0N0) rate, major pathological response (MPR) rate, downstaging, objective response rate (ORR), disease control rate (DCR), event‐free survival (EFS), overall survival (OS), and safety. Results: Between September, 2020 and January, 2022, a total of 29 patients were enrolled in the present study, all of whom completed neoadjuvant therapy and underwent surgery. Three (10.3%) (95% CI: 2.2–27.4) patients achieved pCR as well as tpCR, 20 (69.0%) patients had MPR and 28 (96.6%) patients achieved R0 resection. Treatment‐emergent adverse events (AEs) of any grade were observed in 24 (82.8%) patients. Immune‐related adverse events of any grade were reported in 13 (44.8%) patients, whereas no grade 3 or higher adverse events occurred. Conclusion: The neoadjuvant therapy with camrelizumab in combination with oxaliplatin and S‐1 showed a modest pCR rate, and favorable MPR rate and safety profile in patients with gastric or gastroesophageal junction cancer. [ABSTRACT FROM AUTHOR]

In this paper, we introduce the concept of l-order and conjecture that the l-order of hazard rate vectors of components implies the likelihood ratio order of parallel systems. We prove this conjecture when the number of components is no more than 5. [ABSTRACT FROM AUTHOR]

This paper considers stochastic comparison of parallel systems in terms of likelihood ratio order under scale models. We introduce a new order, the so-called q -larger order, and show that under certain conditions, the q -larger order between the scale vectors can imply the likelihood ratio order of parallel systems. Applications are given to the generalized gamma scale family. [ABSTRACT FROM AUTHOR]

This paper studies the likelihood ratio ordering of parallel systems under multiple-outlier models. We introduce a partial order, the so-called θ-order, and show that the θ-order between the parameter vectors of the parallel systems implies the likelihood ratio order between the systems. [ABSTRACT FROM AUTHOR]

The simple weighted estimator of the survival function of quality adjusted lifetime is a consistent estimator and a proper survival function. It is considerably less efficient than many estimators that are not monotonic and therefore are not proper survival functions. The non monotonic estimators can be modified to be monotonic, but additional work is required to determine the effect of the modification on their consistency and efficiency. As a prelude to the main results, we introduce a new non monotonic estimator and study the positive and negative mass jump points of three estimators. This article proposes several classes of monotonic estimators for the survival function of quality adjusted life. All proposed estimators are shown to be consistent. Two proposed estimators are nearly as efficient as their non monotonic counterparts, when the sample size is large. [ABSTRACT FROM AUTHOR]