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Clinical Trial Summary

This study analyses the efficacy and safety of amlotinib as a study drug in the treatment of HER-2 negative advanced breast cancer in the real world, including the number of treatment lines, monotherapy, combination therapy, and different molecular subtypes of breast cancer. Evidence-based medicine evidence for clinicians. Although the clinical application of amlotinib in breast cancer treatment is a supra-indication drug, in view of its high safety and possible good efficacy for advanced breast cancer, some patients have been clinically adopted to try the treatment after communicating with their families. This study provides evidence for the further use of amlotinib in breast cancer treatment by analysing the efficacy and safety of amlotinib in real-world applications.

Clinical Trial Description

The sample size was calculated according to the One-Sample Log-rank Test.During the treatment of amlotinib, metastatic site imaging was performed every 2-3 cycles, and the efficacy assessment and safety information were collected according to the RECIST version 1.1 criteria. After the completion of amlotinib treatment, survival follow-up was continued to clarify the survival status of the patients. When descriptive statistical analyses of clinicopathological characteristics were performed, categorical information was described by frequency counts and constitutive ratios, and quantitative information, such as conforming to normal distribution, was described by mean ± standard deviation, and not conforming to normal distribution, was described by median and interquartile spacing. Progression-free survival and overall survival at each time point were calculated by the Kaplan-Meier method and plotted as survival curves, Log-rank test was used to compare the prognostic differences between groups of latent variables, and the prognostic impact of latent variables on the anilotinib-treated patients was analysed using the COX regression risk model for exploratory analysis, and the risk ratios (hazard ratios (HRs) for quantitative evaluation. Variables with p-values less than 0.1 in the univariate COX regression analyses were screened by stepwise regression into the multivariate COX regression analyses. If the lapse rate exceeded 20%, sensitivity analyses were used to assess the impact of the lapse on the endpoint outcome event, which was performed by assuming a death outcome for the study subjects who were lost and analysing the endpoint event, and then treating the lost patients as normal and analysing the endpoint event and assessing the impact of the lost patients on the endpoint event. spss version 21.0 was used for the statistics, and a p<0.05 was considered to be clinically significant. ;

Study Design

Related Conditions & MeSH terms

NCT number NCT06340165
Study type Observational
Source The First Hospital of Jilin University
Contact Jiuwei Cui
Phone 15843073215
Status Recruiting
Start date February 4, 2024
Completion date June 2025

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