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Until further study investigates the association of BMI and the consistency of femoral anteversion measures we recommend that clinicians make judgments based on the results of this measurement with caution.
Using these two measures, we recommend a framework that can dynamically allocate the computational resources to the search process and the performance evaluation process.
Instead, we choose to focus on measures we recommend for use with dialysis patients based on whether patient input was used in creation of the measure, coverage of both universal and disease-targeted assessment, psychometric properties, and ability to compare to clinically relevant normative scores.
Given the different strengths of generic and condition-specific measures, we recommend using the EQ-5D and PGWB as part of an overall health outcomes battery that also includes condition-specific measures of symptom burden or HRQL.
The B-statistic behaved better under all scenarios studied as well as with varying prevalences, sensitivities and specificities than the other measures, we recommend using B-statistic along with its corresponding agreement chart as an alternative to kappa when assessing agreement in 2x2 tables.
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As a prevention measure, we recommend avoiding contact with fruit bats and their secretions/excretions.
The protective effect, usually but not always more pronounced in women, of individual or area social capital makes this another measure we recommend including.
In the absence of a "gold standard" sexual dysfunction measure, we recommend that any of these three scales are suitable for use in the breast cancer context, with specific caveats outlined below.
This is the first study to use this measure and we recommend that additional studies replicate the approach in other patient age groups and practice settings.
In order to reach this patient group with preventive measures, we therefore recommend involving additional actors, such as pharmacies and other traders that sell OTC medications.
The observed small associations imply that practice-related changes in motor performance can only partly be explained by quantitative myoelectric measures, and thus, we recommend to additionally include qualitative measures of muscle activity (e.g., timing of muscle activity, level of coactivation) and other biomechanical variables (i.e., kinetics, kinematics) in future investigations.
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