Colonic Neoplasms Clinical Trial
Official title:
Five Year Oncological Outcome After Complete Mesocolic Excision for Right-sided Colon Cancer: a Population-based Cohort Study
Study based on existing databases investigating the causal oncological treatment effects of complete mesocolic excision on UICC stage I-III right-sided colon cancer.
Population-based cohort study, predominantly prospective based, on the same population as the
investigator's previously study comparing short-term outcome after CME with conventional
colon resections. The COMES database combines the prospectively registered colon cancer
database in Hillerød (CME data), and data from the national database of the Danish Colorectal
Cancer Group (DCCG) covering patients undergoing conventional resection (non-CME) in the
other three centers. The medical records of all the patients in the non-CME group (control
group) were reviewed by colorectal surgeons from Hillerød. Data audit for all CME patients
was performed by various co-authors employed at the other centers. A similar audit of data
for non-CME patients having postoperative complications or recurrence was performed by the
co-author representing the department treating the specific patients.
Statistical analysis plan
Continuous data are presented as median and interquartile ranges, and categorical data as
frequencies and proportions. Kruskal-Wallis test and Fisher's exact test were used as
appropriate. Death is a competing risk to recurrence and time-to-event analyses were
performed as competing risk analyses obtaining the cumulative incidences for recurrence or
death using the "cmprsk" R-package.
Unbiased estimation of marginal or population-averaged treatment effects in observational and
non-randomized studies can be obtained through different propensity score methods. Inverse
Probability of Treatment Weighting (IPTW) uses the propensity score to weight each patient's
data based on the inverse probability of receiving the treatment actually received. IPTW
gives unbiased estimates of average treatment effects in time-to-event analyses if no
differences in observed baseline covariates exist between the treatment groups. To account
for baseline differences between patients in the two groups, stabilized weights truncated at
the 0.99 interval were calculated using the "IPW" R-package. The following baseline
covariates will be used: age, sex, ASA score, neoadjuvant chemotherapy, tumor location, tumor
morphology, perineural invasion, extramural venous invasion, tumor stage, and serosal
invasion. All covariates used and UICC stage, two-way interactions, and squared terms of
continuous covariates will be assessed for balance between the CME and the non-CME group
after IPTW using the "cobalt" R-package. Absolute mean differences in mean (using
standardized mean difference) and proportions (using raw mean difference) below 0.1, variance
ratios between 0.5 and 2, and Kolmogorov-Smirnov tests equal or below 0.05 will be accepted.
Graphical inspection of the distribution of covariates will be also performed.
The cause-specific hazards and overall survival will be analyzed using Cox regression. Binary
outcomes will be analyzed using logistic regression. Lymph node yield will be analyzed using
linear regression after logarithmic transformation. Number of metastatic lymph nodes will be
analyzed using negative binominal regression. All analyses of primary and secondary outcomes
will be performed after IPTW. The 95% confidence intervals for the estimates from the
original Cox regression IPTW analyses will be constructed after 1000 bootstraps with
replacement, and a robust sandwich estimator will be used for the logistic regression
analyses in order to ensure correct variance estimation.
All available data will be used. Model assumptions will be checked. A p-value below or equal
to 0.05 will be considered significant. All analyses will be performed using R statistical
software, version 3.5.1 (R Foundation for Statistical Computing, Vienna, Austria).
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