Sentence examples for methods of outcome from inspiring English sources

Our results demonstrate poor agreement between these two methods of outcome determination and have implications for future cellulitis clinical trial design and clinical management.

However, in seven trials (10%), the outcome assessors were blinded to participant group, and a further 23 (33%) used methods of outcome assessment (e.g. medical records, registry data) which would be unlikely to suffer from bias due to lack of blinding and we judged these trials to be at low risk of bias.

Although a meticulous approach was employed in the current review to retrieve the relevant papers that would answer the focused review question, there are still some limitations due to the variability between the included trials in fixed appliance characteristics, biomechanics of tooth movement, and the methods of outcome measurements.

Moreover, the methods of outcome assessment were not described in most of the cohort studies.

Its methods now cover diagnostic and test methods as well as interventions and methods of outcome assessment (Cochrane Collaboration 2015b).

There are three methods of outcome assessment: 24 hr ambulatory blood pressure monitoring, patient interview, and chart abstraction.

Items of interest included: study design, number of participating men and women, characteristics of included population and indications, outcomes of interest, methods of outcomes and adverse events assessment, statistical approach regarding subgroup analyses, and results.

10, 15, 34 Although many claims have been made regarding the relative benefits of STN versus GPi stimulation, only well-designed studies with homogeneous reporting methods of outcomes will enable robust discrimination of benefit between different DBS sites and techniques.

Again, there was insufficient data to perform a scientific meta-analysis because of the poor quality of the studies and lack of a uniform method of outcome assessment.

Thus, our method of outcome prediction for two independent groups of patients provided an accurate and precise estimate of clinical outcomes that worked on microarray data sets generated using different microarray platforms and different cohorts of patients treated at different clinical institutions.

Sample size and method of outcome measurement did not explain the heterogeneity in results.