Barely Significant
← all phrases

“likely to be significant”

1,825 sentences · 1,825 papers · 19,184 search hits before verification · confirmed specimen

Sighted at

p=0.054

Listed by Hankins (2013) · Otte et al. (2022)

In the literature

28 Based upon the standard of disclosure set out in Montgomery , 29 one would think that there were four key aspects relevant to the decision in Grimstone : (i) its confirmation that the Bolam standard no longer applied in determining what information a patient should be given; (ii) its requirement to disclose material risks, those being risks that were likely to be significant to a reasonable patient, or this particular patient; (iii) its inclusion of the requirement to disclose reasonable alternative or variant treatments; and (iv) its requirement that patients be made aware of the comparative risks and benefits of the proposed treatment and reasonable alternatives or variants of it.
1 The impact of strength of cough is not known but its importance is likely to be significant in the context of stress urinary incontinence, syncope and rib fractures. 2 There is a need to better understand and measure cough strength because therapies may have different effects on cough frequency and strength. 3 Cough strength can be objectively assessed by measurement of cough flow, oesoph
Sound: a non-invasive measure of cough intensity.
BMJ Open Respir Res · 2017 · PMC5501240
14 The carbon emissions of clinical trials for neurological disorders are likely to be significant because the disease burden provokes clinical trial activity, and they use a wide range of drugs, devices and outcome measures including brain imaging. 15 17 Therefore, we set out to apply the Low Carbon Clinical Trials Group’s carbon footprinting guidance to a sample of clinical trials focused on neurological disorders.
In fact, there are likely to be significant risks relating to hallucinations (AI‐generated content that is false or not supported by the input data), paradoxical outcomes on workflow (i.e., increase in documentation time to review AI outputs compared to business as usual), and serious ethical considerations, such as privacy and informed consent [ 12 ].