Available Reports

Reports are grouped into functional categories, as listed below:

Demographics and Visits

Reports examining patient demographics and study visit attendance are described in the table below:.

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Study Flow Diagram Generates a flow diagram to summarize the overall clinical trial data flow.

Demographics Distribution

Compares distributions of demographic variables across treatment arms via a one-way ANOVA or contingency analysis.

Study Visits

Generating a graphical display and tabulation of study visit attendance.

Interventions

Reports describing interventions are described in the table below:

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Exposure Summary

Generating an exposure summary and plot for all subjects in a study of an investigational product, by dose and exposure time for the safety population, by treatment

Interventions Distribution

Comparing Distributions of interventions and demographic variables across treatment arms

Interventions Risk Report

Screening all interventions and calculates and generates forest plots of risk differences, relative risks or odds ratios

Events

Reports examining patient study events are described in the table below:

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Adverse Events Distribution

Comparing Distributions of adverse events and demographic variables across treatment arms

Adverse Events Incidence Rates Tabulating the number of occurrences of each event and calculating their incidence rates.

Adverse Events Narrative

Generating adverse event narratives for clinical study reports

Adverse Events Risk Report

Screening all adverse eventsand calculates and generates forest plots of risk differences, relative risks or odds ratios

Clinical Events Distribution Capturing clinical events specially tracked as being of interest to the particular study and reported in the CE domain.

Discontinuation Time to Event

Creating Kaplan-MeierSurvival Curves for time to study discontinuation and associated statistics, grouped by treatment arm

Events Distribution

Comparing Distributions of events from a domain and demographic variables across treatment arms

Note: This report should be considered as two: DS Distribution and MH Distribution, depending on which domain is specified in the dialog.

Events Risk Report

Screening all events from the specified domain and calculates and generates forest plots of risk differences, relative risks or odds ratios

Note: This report should be considered as two: DS Risk Report and MH Risk Report, depending on which domain is specified in the dialog.

Medical Query Risk Report Screens medical query terms by performing Cochran-Mantel-Haenszel (CMH) tests on all 2 x 2 tables constructed from event incidence and treatment arm. Output is a two-sided plot with a dot plot showing percent occurrence and forest plot showing risk measurement.

Mortality Time to Event

Grouping clinical mortality results by treatment arm and generating Kaplan-MeierSurvival Curves with associated statistics

Treatment Emergent Adverse Events Summary

Creating a tabular and graphical overview of treatment emergent adverse events for the safety population by actual treatment arm

Findings

Reports examining patient findings are described in the table below:.

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Constant Findings

Identifying tests from findings domains that have the same result for the entire study

Digit Preference

Assesses the use of terminal digits by study sites when reporting their clinical findings to identify those sites that might exhibit biases in rounding issues or other problems with how they report data.

Duplicate Records

Identifying sets of records that have identical values on more than one occasion within a subject or between subjects within a study site

Findings Box Plots

Displaying Box Plots by treatment group representing the change from baseline in measurements for each test for a specified findings domain across various time windows or points in a study

Findings Distribution

Comparing Distributions of findings and demographic variables across treatment arms

Findings Shift Plots

Displaying Shift Plots to compare test measurements for a specified findings domain at baseline versus on-therapy values, and performing a matched pairs analysis on average score during baseline and a summary score during the trial

Findings Time Trends

Visualizing findings measurements across the timeline of a study

Findings Waterfall Plots

Creating waterfall plots to show the distribution of changes in test measurements for a given Findings domain across subjects

Hy’s Law Screening

Visualizing peak values for lab measurements pertaining to Hy’s Law for detecting potential liver toxicity for all subjects across treatment arms

Missing Findings

Determines whether individuals are missing data for all test codes across all Findings domains, based on data available at each visit number and time point number.

Outliers

Identifies outliers and identifies sites with excessive outliers.

 

Oncology1

Reports are described in the table below:

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Progression Free Survival

Progression free survival is used to describe how long patients can go without the disease without getting worse. This process uses a modified survival plot and hazard ratio plot to compare the number and percentage of patients who have tumor progression or death, with patients who show no tumor progression or death at the cut-off date.

Reports

Reports are described in the table below:

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Comment Report

Generating a document of study comments obtained from source data pertaining to each subject.

DSUR/PSUR Report Generating a report for updating regulatory agencies regarding the safety of a clinical trial design and execution for the purpose of securing permission for the continuance of the trial.

Cross Domain

Reports using data from across multiple domains are described in the table below:.

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Create Cross Domain Data

Adding data for various domains to the ADSL table corresponding to incidence of variables in the AE, CM, LB, and MH domains and a summary statistic for LB, EG, and VS domain values

Patient Profiles Profiling subjects is a powerful way to view all of the data for one or more subjects, enabling you to view their entire history and determine potential causes for unexpected events or findings.