Predicting Grade and Patient Survival in Renal Cancer Using Machine Learning Analysis of Nucleolar Prominence.

Cancer Med · 2025 · PMC12420676 · PMID 40926367

Europe PMC DOI

hedged sentence

0.0635

closest p · 1.3× alpha

0.0635

boldest claim

The sentences

a statistical trendp ‐value = 0.06349so close (0.05 < p ≤ 0.1)

Additionally, the distribution of grades was significantly associated with belonging to a certain quadrant, as evidenced by a statistical trend ( p ‐value = 0.06349), which was confirmed by Fisher's exact test. 3.5.

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