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Conversely, patients whose life expectancy is less than three to five years (that is, less than the time lag to an absolute risk reduction of one in 5000) probably should be discouraged from screening, since the potential risks probably outweigh the small probability of benefit.
The benefit of a diagnostic imaging should be estimated by its diagnostic efficacy that is "the probability of benefit to individuals from a system or test under ideal conditions of use" (Rosen et al. 2015; Krupinski and Jiang 2008).
We show that, with the sample size achievable in the Neonatal Network, Bayesian analyses are likely to provide clear and clinically useful assessments of the probability of benefit for all important clinical outcomes resulting from initial feeding regimens for ELBW infants.
Our results show that psychotically depressed patients have a very high probability of benefit from ECT.
They may fully understand the risks and the low probability of benefit, but continue to hold onto their belief.
If, for radical treatments, the probability of benefit approaches a low value, the aim of therapy may shift from radical to palliative.
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However, in many scientific technologies, firm size is not a good proxy to measure the level of absorptive capacity as it is for start-ups that have a higher probability of benefiting from academic research.
We propose a simple method to select those patients with high probability of benefiting from the procedure.
These guidelines include purpose of screening, details of diagnosis and prognosis with and without treatment, probability of benefits and risks, and emphasis on patient choice.
In addition, we deviated from the current clinical workflow only for patients with high probability of benefiting from an alternative treatment, as suggested by this model.
Additionally for part 2, retrospective analysis estimated that one-third of patients had a baseline Motzer score (Motzer et al, 2004) of 2. For part 3, it was hypothesised that by selecting low-risk patients (i.e., based on a baseline Motzer score of ⩽1), this sample population would have a greater probability of benefiting from an anti-IL-6 antibody.
More suggestions(15)
hypothesis of benefit
certainty of benefit
scope of benefit
expectation of benefit
prospect of benefit
occurrence of benefit
rate of benefit
probability of splitting
probability of sunshine
probability of proliferation
probability of disorder
probability of someone
probability of success
probability of discovery
probability of cancer
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