Locally advanced primary colon, rectosigmoid and rectal cancers: Perioperative outcomes and survival with multivisceral resection
Locally advanced colorectal cancers that invade adjacent organs (i.e., T4 primary tumors) without evidence of distant metastasis account for approximately 5-15% of new colorectal cancers. There are limited multi-institutional study describing the perioperative complication rates and long-term survival of patients undergoing single organ resection after neoadjuvant chemotherapy and/or radiation versus multivisceral resections for patients with T4 colorectal cancers. Using the American College of Surgeons National Cancer Database (NCDB), we seek to analyze differential outcomes (perioperative complications and overall survival) by procedure performed, tumor details, pathological findings, chemo-radiotherapy regimens, patient demographics.
Survival probabilities will be estimated using the Kaplan-Meier method. Adjusting for important prognostic factors, a Cox proportional hazards model will be applied. The potential correlation of data on patients treated by the same surgeon (i.e., clustering) and same hospital will be accounted for by using mixed-model estimating techniques as appropriate for the level of analysis.
This is project is NOT accepting applications.
Faculty Advisor
- Professor: Sung Kwon
- Department/School: Surgery
- Location: Herbert Irving Pavilion 161 Fort Washington Avenue Floor: 8 New York, NY 10032
- The goals of the Center for Innovation and Outcomes Research (CIOR) are to streamline data acquisition and management, conduct research related to surgical outcomes and quality, and provide research and statistical expertise. The Center was created to facilitate and foster research collaborations between the various Divisions in the Department of Surgery as well as between the Department of Surgery and other Departments and institutions at NewYork-Presbyterian/Columbia University Medical Center.
Project Timeline
- Earliest starting date: 10/15/2019
- End date: 8/31/2020
- Number of hours per week of research expected during Fall 2019: ~3
Candidate requirements
- Skill sets: Biostatistical analysis. Being able to use R or Stata programming
- Student eligibility:
freshman,sophomore, junior, senior, master’s - International students on F1 or J1 visa: NOT eligible