Combining clinical, pathological, and demographic factors refines prognosis of lung cancer: a population-based study.

PLoS One · 2011 · PMC3045456 · PMID 21364765

Europe PMC DOI

hedged sentences

0.0580

closest p · 1.2× alpha

0.0580

boldest claim

The sentences

borderline significantP = 0.058so close (0.05 < p ≤ 0.1)

In the adenocarcinoma cohort from MBRCC, the comprehensive model was able to improve prognostication for the low-risk group (33 versus 24 months, P = 0.0170) and borderline significant for the high-risk groups (2.2 versus 2.8 months, P = 0.058).

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did not achieve significanceno p-value reported

Prognostication using the comprehensive model matched or improved non-significantly upon the stage only model in the patient samples which did not achieve significance (results not shown).

also in 1,397 other papers

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