Review Status Distribution
This report shows the distribution of the review status of subjects in a study.
Before you can run this report, you must have identified and analyzed data from patients of interest, and indicated review status using the Patient Profiles report.
Report Results Description
Running this report for the Nicardipine sample setting generates the report shown below.
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The report contains the following elements:
Distributions
Displays summary statistics for review status (reviewed or unreviewed), review flag, and user and system note availability. These statistics can be changed when reviewing subjects from the Patient Profiler.
The Distribution section contains the following elements:
| • | Six Histograms, detailing counts and proportions for review status (reviewed or unreviewed) and who set that status, review flag (introduced, new record, modified record, or stable), and availability of user and system notes, including who contributed the notes. |
Review status can be changed when reviewing subjects from the Patient Profiler. In this example, 4 out of 902 subjects (0.4%) have been reviewed in the Patient Profiler, all have been newly added to the review, none of them have user notes, and 100 subjects (11.1%) have system notes.
Note: The review flag of a reviewed subject who is found to have new or modified records with a snapshot update is switched to unreviewed.
Note: System notes are automatically generated to record the time stamp of study creation and modification events.
Action Buttons
Action buttons, provide you with an easy way to drill down into your data. The following action buttons are generated by this report:
| • | Patient Profiles: Select subjects and click  to generate the patient profiles. See Patient Profiles for additional information. |
| • | Show Subjects: Select subjects and click  to open the ADSL (or DM if ADSL is unavailable) of selected subjects. |
| • | Cluster Subjects: Select subjects and click  to cluster them using data from available covariates. See Cluster Subjects for additional information. |
| • | Demographic Counts: Select subjects and click  to create a data set of USUBJIDs, which subsets all subsequently run reports to those selected subjects. The currently available filter data set can be applied by selecting Apply Subject Filter in any report dialog. |
General and Drill Down Buttons
Action buttons, provide you with an easy way to drill down into your data. The following action buttons are generated by this report:
| • | Click  to reset all report options to default settings. |
| • | Click  to view the associated data tables. Refer to Show Tables/View Data for more information. |
| • | Click  to generate a standardized pdf- or rtf-formatted report containing the plots and charts of selected sections. |
| • | Click  to generate a JMP Live report. Refer to Create Live Report for more information. |
| • | Click  to take notes, and store them in a central location. Refer to Add Notes for more information. |
| • | Click  to read user-generated notes. Refer to View Notes for more information. |
| • | Click  to open and view the Review Subject Filter. |
| • | Click  to specify Derived Population Flags that enable you to divided the subject population into two distinct groups based on whether they meet very specific criteria. |
Report Options
Treatment or Comparison Variable:
The primary goal of clinical trials is to distinguish treatment effects when reporting and analyzing trial results. Treatments are defined by specific values in the treatment or comparison variables of the CDISC models. These variables are specified in this report using the and options.
Distributions of the specified treatment or comparison variables are shown in the output.
Available variables include Planned, which is selected when the treatments patients received exactly match what was planned and Actual, which is selected when treatment deviates from what was planned.
You can also specify a variable other than the ARM or TRTxxP (planned treatment) or ACTARM or TRTxxA (actual treatment) from the CDISC models as a surrogate variable to serve as a comparator. Finally you can select None to plot the data without segregating it by a treatment variable.
See , for more information.
Filtering the Data:
Filters enable you to restrict the analysis to a specific subset of subjects.
Note: Subjects not meeting filtering criteria remain in the domains but notes associated with them are not surfaced in the viewer.
See Select saved subject filter, and Additional Filter to Include Subjects for more information.