Glossary
Overall survival: time from diagnosis or start of treatment until death from any cause
Disease-free survival: time after treatment during which a patient shows no signs of cancer
Hazard ratio: a measure comparing the risk of an event, such as death or disease progression, between two groups over time
Confidence interval: a range of values that likely contains the true effect or risk, showing the precision of a result
At the time of diagnosis, patients with a BMI of 35 or higher also had a lower risk of death and a lower risk of their disease returning or worsening compared with those with a BMI under 25.
Two years after diagnosis, weight loss strongly predicted poor outcomes. Losing more than 10% of body weight was linked with a much higher risk of death and a higher risk of disease progression. Losing 5% to 10% of body weight was tied to a higher risk of death. Weight gain did not show any survival benefit.
Three years after diagnosis, these weight-loss patterns remained consistent. Losing more than 10% of body weight was associated with a much higher risk of death and a much higher risk of disease progression, and losing 5% to 10% of body weight was linked with a higher risk of death and a higher risk of disease progression. Weight gain continued to show no benefit.
Patient Characteristics and Study Methods
A total of 1,414 patients were included in the study, with a median age of 61.7 years. The median BMI for the cohort was 29.8 kilograms per square meter. Regarding BMI categories, 13.7% were classified as normal weight, 30.3% were overweight, 25.4% were obese 1, and 30.6% were categorized as obese 2 to 3.
This multicenter, retrospective study gathered information from the Oncology Research Information Exchange Network (ORIEN) on patients diagnosed with a specific cancer (RCC) between 2020 and 2022. The longest follow-up period for any patient was about 15 years. Researchers focused on BMI as a key factor, measuring it at diagnosis and again two and three years afterward.
Patients were sorted into five groups based on how their weight changed: a loss greater than 10%, a loss between 5% and 10%, a stable weight change of 5% or less, a gain between 5% and 10%, or a gain greater than 10%.
The study's main goals were to measure two outcomes: overall survival and disease-free survival. To ensure the findings were accurate, they used advanced statistical models that produced hazard ratios and 95% confidence intervals. These results were adjusted to account for other factors that affect survival, including age, sex, race and ethnicity, cancer stage, alcohol consumption and cancer type (histology).
Reference
- “Post-Diagnosis Body Mass Index (BMI) Change on Survival in Localized Renal Cell Carcinoma” by Dr. Monica Sarkar, et al., International Kidney Cancer Symposium.
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