Modeling Prognostic Factors in Breast Cancer
Author Information
Author(s): Sauerbrei W, Royston P, Bojar H, Schmoor C, Schumacher M
Primary Institution: Institute of Medical Biometry and Medical Informatics, University of Freiburg
Hypothesis
Can fractional polynomials improve the modeling of prognostic factors in node-positive breast cancer?
Conclusion
Using fractional polynomials can reveal important prognostic information that traditional methods might overlook.
Supporting Evidence
- The study involved 686 patients with node-positive breast cancer.
- 299 patients experienced an event for recurrence-free survival.
- 171 patients died during the study period.
- Seven standard prognostic factors were analyzed.
Takeaway
This study looks at how to better predict outcomes for breast cancer patients by using a special math technique called fractional polynomials.
Methodology
The study analyzed seven standard prognostic factors in a prospective study of node-positive breast cancer patients using fractional polynomials.
Participant Demographics
686 patients with node-positive breast cancer, including 299 with recurrence-free survival events and 171 who died.
Digital Object Identifier (DOI)
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