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Evaluating Predictors of Improved Outcomes Among Patients Undergoing Surgery for Lung Cancer

Principal Investigator
Name
Chi-Fu Jeffrey Yang
Degrees
M.D.
Institution
Massachusetts General Hospital
Position Title
Assistant Professor
Email
About this CDAS Project
Study
NLST (Learn more about this study)
Project ID
NLST-922
Initial CDAS Request Approval
Jun 21, 2022
Title
Evaluating Predictors of Improved Outcomes Among Patients Undergoing Surgery for Lung Cancer
Summary
The goal of this project is to examine predictors of improved outcomes among patients undergoing surgery for lung cancer. Outcomes after surgery for lung cancer, including short-term mortality and long-term survival, have been shown to vary widely across patients. However, many predictors of improved outcomes after surgery are poorly characterized. It remains unknown why some patients display superior outcomes compared to other patients, despite being diagnosed with similar stages of disease and undergoing similar treatments. Thus, the goal of this study is to identify characteristics of patients undergoing surgery for lung cancer that are associated with improved short-term mortality and long-term survival.
Aims

1. Evaluate the association between preoperative characteristics and short-term mortality after surgery for lung cancer.
2. Evaluate the association between preoperative characteristics and long-term mortality after surgery for lung cancer.
3. By analyzing the results from Aim #1 and Aim #2, and in combination with machine learning techniques, we plan to develop and validate accurate clinical prediction models to help physicians determine which patients undergoing major thoracic surgery are at highest risk of perioperative mortality and poor long-term survival.
4. Evaluate the association between postoperative characteristics (e.g., the development of additional lung cancers) on long-term recurrence-free and overall survival.

Collaborators

Alexandra Potter
Priyanka Senthil
Vignesh Raman
Arian Mansur
Chinmay Haridas

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