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Thus, from the identification of variables significantly associated with infection in the bivariate and multivariate analyses, a score was created to predict the risk of infection at the time of admission, even before the initial treatment.
A score was created in order to assess the severity of the CAD.
Based on the prognostic value of the individual markers, a score was created for the combination of HLA class I, HLA-G and Foxp3+.
A score was created of the number of chronic conditions suffered out of 10 possible conditions (stroke, CHD, intermittent claudication, hypertension, arthritis, diabetes, chronic airways obstruction, underactive thyroid, Parkinson's disease and moderate/severe cognitive impairment).
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A propensity score was created using a logistic regression model for a patient having low adherence to tamoxifen and fitted in the model as a linear score.
A PICOT score was created with a possible score between 0 and 5. Outcomes were: 1) a 14-point overall reporting quality score (OQS) based on the Consolidated Standards for Reporting Trials; and 2) a 3-point key score (KS), based on allocation concealment, blinding and use of intention-to-treat analysis.
A tremor score was created based on an approach using hand-drawing samples.
To compare the level of crowding solutions implemented by hospitals, a composite score was created for questions E6a d and E7a e.
Based on factors such as disease summary, treatment options and complications a weighted score was created by two independent observers.Results: eleven documents were published by an academic institution or professional organisation.
In addition, a mean score was created by averaging the z-scores of all six domains.
A scale score was created by summing across all items.
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