Identification of plaque ruptures using a novel discriminative model comprising biomarkers in patients with acute coronary syndrome.

Sci Rep · 2020 · PMC7677551 · PMID 33214686

Europe PMC DOI

hedged sentence

0.0930

closest p · 1.9× alpha

0.0930

boldest claim

The sentences

showed a trendp = 0.093so close (0.05 < p ≤ 0.1)

6.45 ng/mL, p = 0.0313) levels were significantly higher in the Rupture group, whereas NGAL showed a trend without statistical significance (59.03 vs. 53.80 ng/mL, p = 0.093).

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