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In this respect, one successful prevention programme was URMEL-ICE (Ulm research on Metabolism, Exercise and Lifestyle Intervention in Children, 2006 - 2009 [12]), with a hypothetical threshold for cost-effectiveness of an annual €35 maximum "willingness-to-pay" (WTP) [13].
Table 1 shows the distribution and the number of children exceeding the hypothetical threshold values for this cohort.
Several hypothetical threshold values for intoxication (15, 24, 100 μg/L, respectively) were chosen following a "what if" approach.
We secondly estimated total cumulated benefits per year based on the three hypothetical threshold values, above 15, 24 and 100 μg/L.
Figure 1 shows the probability of the intervention being cost-effective on a continuum of hypothetical threshold values for decision-makers willingness to pay for an additional QALY.
Figure 2 shows the probability of the intervention being cost-effective at a continuum of hypothetical threshold values for decision-makers' willingness to pay for an additional QALY.
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Preliminary laboratory experiments were conducted, which were followed by an expert workshop to gauge the feasibility of this approach and propose hypothetical thresholds indicating when the discharge standard is undoubtedly exceeded.
In this study of 124 lesions, 2 hypothetical thresholds for biopsy, scenario #1 and #2, seem most promising.
The following overall annual benefits for the three hypothetical thresholds values in 2008 are: €22.72 billion, €10.72 billion and €0.44 billion, respectively.
For example, sensitivity analyses targeting variation in concentration response, including lag time in presentation of exposure-related health effects, long-term exposure effects, and hypothetical thresholds for PM concentration response, are performed.
Three hypothetical thresholds for intervention were analyzed: (1) DCIS or IC ≥ 10%%; (2) DCIS ≥ 50%% or IC ≥ 10%%; and (3) IC ≥ 10%%, which translated to 22, 48, and 56%% of biopsies avoided; cancer-to-biopsy yields of 36, 47, and 46%%; and associated chance of missing an IC of 0, 1, and 2%%, respectively.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com