Reports | Findings Time Trends

Findings Time Trends
This report enables you to visualize findings measurements across the time line of the study.
Report Results Description
Running Findings Time Trends with the Nicardipine sample setting and LB findings domain generates the report shown below.
The Report contains the following sections:
Treatment Time Trends
Shows a plot for each quantitative findings test (for example, laboratory) in the Findings data set that was analyzed. Each plot contains a line for each treatment group representing the average measurements taken across time.
The Treatment Time Trends section contains the following elements:
A set of Treatment Level Time Trend Plots
If findings test category ( xxCAT ) exists (where xx represents the two-letter domain abbreviation -- for example, LB ), these plots are first ordered by xxCAT . Next, if findings test subcategory ( xxSCAT ) exists, plots are secondarily ordered by xxSCAT . If xxCAT is missing, plots are ordered by test short name ( xxTESTCD ), which is required. Findings tests with a missing xxCAT value are assigned to the “ OTHER ” category.
Note : Findings tests with a missing numeric result ( xxSTRESN ), as well as those taken on only one day, are excluded from these plots.
Tip : You can collapse categories (and simultaneously exclude them from any report that you create) by clicking on the gray triangles located to the left of the category labels.
Each plot displays the means of the measurements taken across time for each treatment arm in a study for a quantitative findings test. The value of xxTEST (where xx represents the two-letter domain abbreviation -- for example, LB ) is displayed in the outline box for each plot, and the test short name ( xxTESTCD ) is displayed along with the measurement units (where applicable) on the Y axis. The Y axis can represent the observed test result, the change from baseline, percent change from baseline, or percent of baseline, depending on the selection made for the Plot findings measurements as: parameter on the report dialog . Time, as either Study Day, Study Week, or Visit, is plotted on the X axis (according to your Time Scale selection). Time trend lines connect the points of measurement; each marker point represents the average findings measurement for subjects belonging to that treatment arm at the measured time point.
The Y axis can optionally be displayed with log scaling (this is very useful for interpreting laboratory findings). In addition, you can choose to compute and show standard error bars at each measured time point for each treatment group. These standard error bars can be helpful in visualizing significantly different measurements for a findings test at certain time points. Note that standard error calculations depend heavily on the number of measured subjects at a specific time point. These plotting options are found on the Output tab of the report dialog.
The time trend lines are interactive . Selecting a line selects all subjects belonging to the treatment group the selected line represents. You can then use the down buttons to profile, cluster, or show these subjects or to create a subject filter to do further analysis only with the selection of subjects. Selecting a treatment time trend line also selects and highlights all the individuals' subject time trend lines on the accompanying Subject Time Trends section that is part of the output from this report.
Subject Time Trends
Shows a plot for each quantitative findings test (for example, laboratory) in the Findings data set that was analyzed. Each plot contains a line for each subject in the study representing the patient's measurements taken across time.
This section contains the following elements:
A set of Subject Level Time Trends Plots also known as spaghetti plots
If findings test category ( xxCAT ) exists (where xx represents the two-letter domain abbreviation -- for example, LB ), these plots are first ordered by xxCAT . Next, if findings test subcategory ( xxSCAT ) exists, plots are secondarily ordered by xxSCAT . If xxCAT is missing, plots are ordered by test short name ( xxTESTCD ), which is required. Findings tests with a missing xxCAT value are assigned to the “ OTHER ” category.
Note : Findings tests with a missing numeric result ( xxSTRESN ), as well as those taken on only one day, are excluded from these plots.
Tip : You can collapse categories (and simultaneously exclude them from any report that you create) by clicking on the gray triangles located to the left of the category labels.
Each plot displays the measurements taken across time for each subject in a study for a quantitative findings test. The value of xxTEST is displayed in the outline box for each plot and the test short name ( xxTESTCD ) is displayed along with the measurement units (where applicable) on the Y axis. The Y axis can represent the observed test result, the change from baseline, percent change from baseline, or percent of baseline, depending on the selection made for the Plot findings measurements as: parameter on the report dialog . Time, as either Study Day, Study Week, or Visit, is plotted on the X axis (according to your Time Scale selection). Time trend lines connect the points of measurement; each marker point represents the findings measurement for each subject at the measured time point. If multiple measurements were taken for a subject on the same Study Day, Study Week, or Visit, the point represents the mean measurement for that subject.
The Y axis can optionally be displayed with log scaling (this is very useful for interpreting laboratory findings). For the LB domain, you can also choose to draw reference limits by checking the Show ULN and LLN reference lines for lab tests option on the dialog. If there are multiple reference limits for a lab test, the maximum ULN (as measured by LBSTNRHI ) and the minimum LLN ( LBSTNRLO ) are displayed.
The time trend lines are interactive . Selecting a line selects that subject. You can then use the down buttons to profile, cluster, or show selected subjects, or create a subject filter to do further analysis only with the selection of subjects.
Data Filter
This enables you to subset subjects based on demographic characteristics and other factors. Refer to Data Filter for more information.
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:
Profile Subjects : Select subjects and click to generate the patient profiles. See Profile Subjects 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 USUBJID s, which subsets all subsequently run reports to those selected subjects. The currently available filter data set can be applied by selecting Demographic Counts in any report dialog .
General
Click to generate a standardized pdf - or rtf -formatted report containing the plots and charts of selected sections.
Click the Options arrow to reopen the completed report dialog used to generate this output.
Click the gray border to the left of the Options tab to open a dynamic report navigator that lists all of the reports in the review. Refer to Report Navigator for more information.
Report Options
Report Option Descriptions
Specific documentation for each of the options can be viewed by clicking on the following links:
General Options
Findings Domain to Analyze , Findings Domain Tests for Analysis , Treatment or Comparison Variable to Use , Treatment or Comparison Variable
Plot findings measurements as: , Plot average time trends across treatment groups , Normalization of Lab Measurements
Subject Filter 1
Additional Filters
Additional Filter to Include Subjects 2 , Merge supplemental domain , Include the following findings records: , Additional Filter to Include Findings Tests , Select the population to include in the analysis , By Variables
Time
Time Scale , Remove unscheduled visits , Incorporate Findings Time Points in plots
Baseline Time Window , Calculate baseline as: , Calculate Visit-matched baseline measurements
Restrict plots to measurements within a starting time and ending time , Starting Time Value , Ending Time Value
Output
Show standard error bars for treatment group time trends , Use log scaling to display findings test measurements , Show ULN and LLN reference lines for lab tests , Overlay visits when treatment crossover is detected , Pool subjects in average time trend plots when treatment crossover is detected

1
Subject-specific filters must be created using the Create Subject Filter report prior to your analysis.

2
For more information about how to specify a filter using this option, see The SAS WHERE Expression .