Machine learning insight into the role of imaging and clinical variables for the prediction of obstructive coronary artery disease and revascularization: An exploratory analysis of the CONSERVE study.

PLoS One · 2020 · PMC7316297 · PMID 32584909

Europe PMC DOI

hedged sentence

0.0610

closest p · 1.2× alpha

0.0610

boldest claim

The sentences

fell just short of statistical significanceP = 0.061so close (0.05 < p ≤ 0.1)

In the SCOT-HEART (Scottish Computed Tomography of the Heart) trial of 4146 patients with stable chest pain CCTA was associated with an apparent increase in coronary revascularization when compared to ICA (11.2% vs 9.7%), although this fell just short of statistical significance (P = 0.061).

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