Related Experiment Video
Updated: Jun 24, 2025

06:46
Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
Published on: September 27, 2024
250
Association of Food Desert Residence and 5-Year Mortality in Lung Cancer Patients Undergoing Resection
Kayla A Fay1, David J Finley1, Rian M Hasson1
1Dartmouth Health, Department of Surgery, Section of Thoracic Surgery, Lebanon, New Hampshire.
The Journal of Surgical Research
|June 6, 2024
Summary
Living in a food desert (FD) was not linked to higher mortality in lung cancer patients undergoing surgery. This may be due to patient selection for surgery, unlike findings in other cancers. Further research is needed.
Area of Science:
- Oncology
- Public Health
- Socioeconomic Determinants of Health
Background:
- Food desert (FD) residence is a known risk factor for adverse outcomes in several cancer types, including breast, colon, and esophageal cancers.
- The impact of food deserts on non-small cell lung cancer (NSCLC) patient outcomes, particularly those treated with anatomic lung resection (ALR), requires further investigation.
Purpose of the Study:
- To investigate the association between food desert residence and mortality risk in patients with non-small cell lung cancer (NSCLC) who underwent anatomic lung resection (ALR).
Main Methods:
- A retrospective review of all consecutive ALRs for stage I-III NSCLC between January 2015 and December 2017.
- Food desert (FD) residence was defined by the United States Department of Agriculture criteria.
- Cox proportional hazard analysis was employed to model 5-year overall mortality, 30-day complications, and 1- and 3-year mortality, adjusting for relevant covariates.
Main Results:
- Out of 348 ALRs, 101 patients (29%) resided in a food desert.
- Unadjusted analysis indicated a lower 5-year mortality risk for patients in food deserts (HR=0.56, P=0.04).
- This association was not statistically significant after adjusting for covariates (HR=0.59, P=0.07).
Conclusions:
- Food desert residence was not significantly associated with increased 5-year mortality risk in NSCLC patients undergoing ALR.
- Potential selection bias, where only healthier patients are deemed fit for surgery, might explain the lack of association, differing from findings in other cancers.
- Further research encompassing all NSCLC patients, irrespective of treatment modality, is warranted to fully assess the role of food deserts as a risk factor.
Related Concept Videos
Statistical Methods for Analyzing Epidemiological Data
353
Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
353
Cancer Survival Analysis
343
Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
343
Cancer Prevention
6.1K
Several factors can increase the risk of cancer in an individual. About 50% of cancer cases can be prevented by adopting a healthy lifestyle, regular exercise, eating healthy, and following a modest cancer prevention diet. Epidemiological studies have consistently shown that populations with vegetable and fruit-rich diets have reduced the incidence of cancer. On the other hand, populations who have a diet rich in animal fat, red meat, junk food, or high calories are predisposed to cancer.
Some...
Some...
6.1K

