Deep learning predicts postsurgical recurrence of hepatocellular carcinoma from digital histopathologic images.

Sci Rep · 2021 · PMC7820423 · PMID 33479370

Europe PMC DOI

hedged sentence

0.0543

closest p · 1.1× alpha

0.0543

boldest claim

The sentences

borderline significancep = 0.0543so close (0.05 < p ≤ 0.1)

None of the clinicopathologic features were significantly associated with shorter RFI upon univariable Cox regression analysis, while a Batts–Ludwig 22 fibrosis stage > 2 showed borderline significance (hazard ratio (HR) = 2.7 (95% confidence interval (CI) 0.98, 7.7), p = 0.0543) (Table 2 ).

also in 7,017 other papers

Quoted from the open-access full text in Europe PMC under the licence the publisher applied. The sentence is reproduced exactly as published; the emphasis is ours.