The primary endpoints progression-free survival (PFS) and overall survival (OS)will be analyzed by using intention-to-treat (ITT) data set from randomization. Secondary endpoints will include 1- and 2-year survival and quality of life scores. The adverse reactions will be counted, and the bone marrow suppression rate and the incidence of digestive tract reactions will be used as safety evaluations.
Primary outcomes
Progression-free Survival (Pfs)
Progression-free survival (PFS) refers to the survival time calculated from randomization without any locoregional progressive disease, distant metastasis, recurrence or secondary colorectal cancer. Death from any cause will also be considered an event for this endpoint.
The enrolled patients will be assessed every 3 months starting from the baseline (Month 0). At the same time, the enhanced CT or MR will be reexamined, and combined with the tumor marker level to evaluate the recurrence and metastasis of the tumor, to observe patient survival, and to calculate the PFS.
Overall Survival (Os)
Another primary outcome is patient overall survival (OS), which is the time from randomization to death from any cause. For patients who are lost to follow-up before death, the time of last follow-up will be calculated as the time of death.
Participating patients will be recorded from baseline (month 0), with visits every 3 months to document patient survival.
Secondary outcome
Survival Rate
After visits at the time nodes specified in the trial, patient survival will be calculated at the time nodes of the 1st year and the 2nd year after randomization.
Quality Of Life
The Eastern Cancer Cooperation Group (ECOG) scoring system will be used to evaluate the patient's postoperative physical condition. Both the 2-year trial period and the 1-year follow-up period will be recorded every 3 months.
Safety
All participants will undergo physical tests to evaluate their bodies before screening enrolling and after treatment. These tests will include the function of the heart, liver, kidneys, and other organs, including cardiac ultrasound, ECG, white blood cell count, hematocrit, platelets, aspartate aminotransferase/alanine transaminase, blood urea nitrogen, creatinine, γ-glutamyl transpeptidase, and erythrocyte sedimentation rate.
Adverse events (AEs) are any unexpected adverse conditions, symptoms, or sensations that occur in subjects throughout the trial period, whether or not they are associated with capecitabine treatment. AE will be graded using the Common Terminology Standard (CTCAE) 4.0.3 [17]. A serious adverse event (SAE) will be defined as any of grade 3, 4, or 5 adverse events. Each AE will be recorded on the case report form (CRF). SAE will be reported to the Competent Authorities and the Ethics Committee. Initiators must submit annual safety reports to Competent Authorities and Ethics Committees during clinical trials. At the same time, the incidence of bone marrow suppression and the incidence of gastrointestinal responses will be counted to assess the safety of capecitabine metronomic chemotherapy.
Quality Control, Data Management And Monitoring
Prior to recruitment, research team members will be required to attend a training workshop to ensure their strict adherence to the research protocol, and that they have a comprehensive understanding of the trial management process. The intervention will be implemented by attending physicians with at least 3 years of hospital experience. The trial process will be conducted in accordance with a researcher's manual of standard operating procedures developed in consultation with experts with extensive therapeutic experience. To improve compliance, we maintained contact with the subjects and at least one family member of the subjects, and regular telephone follow-up was conducted.
This data will be collected and recorded on CRF. All data will be input to a password-protected computer by a staff member who does not know how the group assignments were made. It will be checked twice by investigators after the data is entered. The collected clinical data will be entered into the database and the database will be regularly updated according to follow-up timing. The original CRF and all database data will be securely stored in the Oncology Department building at Zhongshan Hospital of Traditional Chinese Medicine affiliated to Guangzhou University of Chinese Medicine. Throughout the trial, two trained, qualified, and independent supervisors will regularly visit the trial center to be responsible for data monitoring, regulatory management, and to conduct a trial audit every 3 months, independent of the investigator and the organizer. This will include specification of the random inspection program, the reasonableness of the inclusion and exclusion criteria, the proper implementation, the implementation of informed consent procedures, the specification of the CRF, the confidential updating of the database, and SAE reporting, and also determining whether to terminate the study prematurely. For any cases in which there is shedding or loss of visit, it will be necessary to explain the reasons for the shedding and the loss of visit, and calculate the proportion of cases in which there was shedding and loss of visit relative to the total number of observed cases.
Sample Size Calculation
As this is an innovative study, no data are available for reference. After reviewing the literature on sample size estimation in pilot studies, Browne pointed out that a sample size of 30 subjects was needed to estimate parameters [18]. In recent years, several scholars have suggested that the minimum sample size for each treatment group should be 12 subjects [19]. In the proposed study, in order to mitigate the imprecision of standard deviation estimates for future expanded trials {20], statisticians combined the specific circumstances of the proposed study to estimate that 30 subjects were expected to be enrolled in each group, and 60 subjects in both groups.
Statistical analysis
The statistical analysis will use SPSS version 26.0 (IBM SPSS Statistics, New York, USA). All analysis will be based on the ITT dataset. Missing data will be supplemented with the principle of multiple interpolation. All statistical tests will use a two-side test, and P < 0.05 will be considered statistically significant for the difference being tested.
Baseline data comparisons between the two groups will be based on data type, χ2 test will be used for counting data, and t-test (consistent with normal distribution) or rank test (not normally distributed) will be used for measurement data. Descriptive statistics will be presented for each group as the mean change (SD, 95% confidence intervals), and P < 0.05 (two-side) will be considered statistically significant.
The survival analysis will use the Kaplan-Meier method for one-factor survival, calculating the median disease PFS and OS of the two groups, and comparing the survival curves by the Logrank test. P < 0.05 will be considered statistically significant.