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Quick tour of CDISC’s ADaM standard 1

Quick tour of CDISC’s ADaM standard 1. FDA/PHuSE ADaM Kick off Meeting 2

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Page 1: Quick tour of CDISC’s ADaM standard 1. FDA/PHuSE ADaM Kick off Meeting 2

Quick tour of CDISC’s ADaM standard

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Page 2: Quick tour of CDISC’s ADaM standard 1. FDA/PHuSE ADaM Kick off Meeting 2

FDA/PHuSE ADaM Kick off Meeting

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Page 3: Quick tour of CDISC’s ADaM standard 1. FDA/PHuSE ADaM Kick off Meeting 2

Location in the CDISC Standards

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Page 4: Quick tour of CDISC’s ADaM standard 1. FDA/PHuSE ADaM Kick off Meeting 2

Clinical trial data and information flow

See example of HERA analysis plan

Page 5: Quick tour of CDISC’s ADaM standard 1. FDA/PHuSE ADaM Kick off Meeting 2

Analysis Datasets and Tables, Listings, Graphs (TLGs)

VAD Module Reporting module

In: SDTMv data setsOut: Analysis data

In: Analysis data setsOut: Standard TLGs

SDTM ADaM TLGs process process

Analysis Datasets sometimes called VADs Value Added Datasets

Page 6: Quick tour of CDISC’s ADaM standard 1. FDA/PHuSE ADaM Kick off Meeting 2

Differences between SDTM and ADaM

SDTM

• Designed to store trial data as collected

• No redundancy

• Designed for data transfer and Interoperability

• Few derived variables

• Standard domains for each type of subject area

• Predominantly character variables

• Dates are ISO8601 character strings

ADaM

• Designed for communication of scientific results of the trial

• Contains collected and derived data as per analysis plan

• May use variables from multiple SDTM domains and other ADaM datasets

• Redundancy is needed for easy analysis and may contain variables for supportive purposes

• Numeric variables are often needed for analysis

• Dates are numeric to allow calculation

• Heavily reliant on descriptive metadata

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Page 7: Quick tour of CDISC’s ADaM standard 1. FDA/PHuSE ADaM Kick off Meeting 2

Going from SDTM to ADaM example of “composite endpoint”

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Page 8: Quick tour of CDISC’s ADaM standard 1. FDA/PHuSE ADaM Kick off Meeting 2

ADaM is designed to standardise the way that analysis results are stored and thus presented to authorities.

It is predominantly designed for statistical analyses to reduce and eliminate any processing required by the reviewer.

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Page 9: Quick tour of CDISC’s ADaM standard 1. FDA/PHuSE ADaM Kick off Meeting 2

Where is it described:Core ADaM Standard Documents

www.cdisc.org/adam

1. Analysis Data Model v2.1

2. Analysis Data Model Implementation Guide v1.0

3. Analysis Data Model Data Structure for Adverse Event Analysis v1.0

4. The ADaM Basic Data Structure (BDS) for Time-to-Event Analyses v1.0

5. ADaM Examples Final

6. ADaM Validation Checks v1.2

……..Plus Appendix references

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Page 10: Quick tour of CDISC’s ADaM standard 1. FDA/PHuSE ADaM Kick off Meeting 2

ADaM Dataset Classes

• ADSL (Subject Level Analysis Data)– one record per subject– the only required dataset in a CDISC-based submission– allows simple merging with other datasets

• BDS (Basic Data Structure) – one or more records per subject, per analysis parameter per analysis timepoint (Also used for time to event analyses and LABs.

• ADAE (Adverse Events) one row per subject per adverse event recorded

• Other future planned additional datasets : eg General Occurrences: Medications, Medical History.

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Page 11: Quick tour of CDISC’s ADaM standard 1. FDA/PHuSE ADaM Kick off Meeting 2

ADSL & BDS

• Go to implementation guide for list of variables.

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Page 12: Quick tour of CDISC’s ADaM standard 1. FDA/PHuSE ADaM Kick off Meeting 2

BDS example

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Page 13: Quick tour of CDISC’s ADaM standard 1. FDA/PHuSE ADaM Kick off Meeting 2

ADaM RA VAD

Page 14: Quick tour of CDISC’s ADaM standard 1. FDA/PHuSE ADaM Kick off Meeting 2

ADaM “Metadata” as described in the docs is:

• Analysis Dataset Metadata – description of dataset

• Analysis Variable Metadata (dataset structures)

• Analysis Parameter Value-Level Metadata – specs/derivations used to create analysis values (paramcds)

• Analysis Results Metadata – derivations and statistical procedures used for a report.

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Page 15: Quick tour of CDISC’s ADaM standard 1. FDA/PHuSE ADaM Kick off Meeting 2

ADaM MetadataAnalysis Dataset Metadata

• Dataset name (e.g. ADEFF)

• Dataset Description (e.g. Primary Efficacy analysis dataset)

• Location – filepath where the dataset is stored

• Structure (e.g. one observation per subject per visit)

• Class (e.g. “ADSL” , “BDS” or OTHER)

• Key variables (e.g. USUBJID, AVISIT, PARAMCD)

• Documentation (e.g. Descriptions of source data, processing steps or references to external documents like Protocol, DAP)

– These can be included as separate files and hyperlinked

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Page 16: Quick tour of CDISC’s ADaM standard 1. FDA/PHuSE ADaM Kick off Meeting 2

ADaM MetadataAnalysis Dataset Metadata

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Page 17: Quick tour of CDISC’s ADaM standard 1. FDA/PHuSE ADaM Kick off Meeting 2

ADaM MetadataAnalysis Variable Metadata

• Variable Name and Dataset Name

• Label

• Type

• Codelist /Controlled terminology

• Source or derivation

• Core (Req Cond Perm)

• CDISC Notes

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Page 18: Quick tour of CDISC’s ADaM standard 1. FDA/PHuSE ADaM Kick off Meeting 2

ADaM MetadataAnalysis Variable Metadata

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Page 19: Quick tour of CDISC’s ADaM standard 1. FDA/PHuSE ADaM Kick off Meeting 2

ADaM MetadataAnalysis Parameter-Value Level Metadata

• Part of Analysis Variable Metadata for VADs with BDS structure

• Parameter Identifier for different values of PARAM/PARAMCD contains specifications for how the parameters are derived.

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Page 20: Quick tour of CDISC’s ADaM standard 1. FDA/PHuSE ADaM Kick off Meeting 2

Example of metadata for param codes – value level metadata

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Page 21: Quick tour of CDISC’s ADaM standard 1. FDA/PHuSE ADaM Kick off Meeting 2

Descriptive metadata representation…

• …………The display presentation of the metadata should be determined between the sponsor and the recipient. The example is only intended to illustrate content and not appearance.

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Page 22: Quick tour of CDISC’s ADaM standard 1. FDA/PHuSE ADaM Kick off Meeting 2

ADaM MetadataAnalysis Results Metadata

• Allows reviewers to link from an analysis result to important information describing the analysis such as the reason for performing the analysis, and the dataset and selection criteria used to generate the analysis

• These metadata provide traceability from a result used in a statistical display to the data in the analysis datasets. Analysis results metadata are not required. However, best practice is that they be provided to assist the reviewer by identifying the critical analyses, providing links between results, documentation, and datasets, and documenting the analyses performed.

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Page 23: Quick tour of CDISC’s ADaM standard 1. FDA/PHuSE ADaM Kick off Meeting 2

ADaM MetadataAnalysis Results Metadata

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Page 24: Quick tour of CDISC’s ADaM standard 1. FDA/PHuSE ADaM Kick off Meeting 2

Validation Checks

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Page 25: Quick tour of CDISC’s ADaM standard 1. FDA/PHuSE ADaM Kick off Meeting 2

Special AE dataset structure

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Page 26: Quick tour of CDISC’s ADaM standard 1. FDA/PHuSE ADaM Kick off Meeting 2

Summary of ADaM contents

• ADSL dataset structure

• BDS dataset structure (with BDS TTE and Lab section)

• ADAE dataset structure

• Descriptive metadata – for datasets, parameters (value level metadata) and results (Table, Listings, Graphs (TLG)) metadata.

• Validation checks

• Do we have to bear in mind direct links between SDTM model and ADaM model (eg ADSL, ADAE)

………………scoping discussion

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