Key result
A data-driven prognostic model identified that pT stage and lymph node ratio dominate 5-year survival prediction after colorectal resection, outperforming traditional pN lymph node staging.
Why the study?
Does a data-driven prognostic model using random forest technology predict survival in patients with colorectal cancer after radical resection?
Cohort (n=4,935)
Does a data-driven prognostic model using random forest technology predict survival in patients with colorectal cancer after radical resection?
A novel random forest prognostic model identifies lymph node ratio as a stronger predictor of survival than traditional pN stage in colorectal cancer patients after radical resection.
No takes yet. Share an insight, caveat, or question.
Lymph node ratio may refine post-resection prognostication; hypothesis-generating and should not yet change staging practice.
Manilich et al. (2011) conducted a cohort in Colorectal cancer (n=4,935). Lymph node ratio and pT stage vs. Traditional pN lymph node stage was evaluated on 5-year survival. A data-driven prognostic model identified that pT stage and lymph node ratio dominate 5-year survival prediction after colorectal resection, outperforming traditional pN lymph node staging.
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