Predicting Gastric Cancer Recurrence Risk
Author Information
Author(s): Roukos D H, Lorenz M, Karakostas K, Paraschou P, Batsis C, Kappas A M
Primary Institution: Department of General and Vascular Surgery, Frankfurt Johann Wolfgang Goethe University
Hypothesis
Can a pathological serosa and node-based classification predict gastric cancer recurrence risk and outcomes?
Conclusion
A classification based on serosa and node status can accurately predict the risk of recurrence in gastric cancer patients.
Supporting Evidence
- Curative resection only produced a chance of cure whereas survival was very poor following non-curative resection.
- Risk of recurrence after a median follow-up of 92 months was low among patients with both serosa and node-negative cancer.
- The relative risks of recurrence and death from gastric cancer were significantly higher in patients with node-positive cancer.
Takeaway
Doctors can tell how likely it is for stomach cancer to come back by looking at certain signs in the body. If the signs are good, the chances are low, but if they're bad, the chances are high.
Methodology
Patients were stratified based on surgical curability and extent, and statistical analyses were performed using intent-to-treat principles, log-rank tests, and Cox regression.
Statistical Information
P-Value
0.0002
Confidence Interval
95% CI, 2.36–21.17; 95% CI, 5.76–45.54
Statistical Significance
p<0.0001
Digital Object Identifier (DOI)
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