• Numbers that begin a sentence, title, subtitle, or heading 

• Common fractions 

• Accepted usage such as idiomatic expressions and numbers used as pronouns 

• Other uses of “one” in running text (e.g., when meaning "a")
• Ordinals first through ninth
• Numbers spelled out in quotes or published titles.

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• This supplement is intended to be used with other CDISC user guides for specific therapeutic/disease areas and follows the CDISC Study Data Tabulation Model Implementation Guide for Human Clinical Trials.
  

Revision History

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© 2021 Clinical Data Interchange Standards Consortium, Inc. All rights reserved. 

1 Introduction

This document describes the CDISC implementation of the Psoriasis Area and Severity Index (PASI V2) Version 2 instrument.

There is no known standard case report form (CRF) available for this instrument. CDISC created this CRF to represent the instrument, which CDISC believes is in the public domain. This is not an endorsement of the instrument. The creation of this instrument was based on published articles describing the instrument. Sponsors may create this instrument’s CRF using their style guidelines, but they need to maintain the wording and order of the questions/items and responses as described on the CRF.

The representation of data collected for this instrument is based on the Study Data Tabulation Model Implementation Guide (SDTMIG) Questionnaires (QS) domain model, which can be found on the CDISC website at: https://www.cdisc.org/standards/foundational/sdtmig.

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The CDISC Intellectual Property Policy can be found on the CDISC website at: https://www.cdisc.org/about/bylaws.

1.1 Representations and Warranties, Limitations of Liability, and Disclaimers

This document is a supplement to the SDTMIG for Human Clinical Trials and is covered under Appendix F of that document, which describes representations, warranties, limitations of liability, and disclaimers. Please see Appendix F of the SDTMIG for a complete version of this material.

CDISC specifies how to structure the data that has been collected in a database, not what should be collected or how to conduct clinical assessments or protocols. CDISC disclaims any liability for your use of this material.

Although the United States Food and Drug Administration (US FDA) has provided input with regard to this supplement, this input does not constitute US FDA endorsement of any particular instrument.

2 Copyright Status

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The CDISC documentation of this instrument consists of: (1) controlled terminology, (2) standard database structure with examples, and (3) CRF(s) annotated with the CDISC SDTMIG variables with submission values. 

Note: CDISC Controlled Terminology is maintained by National Cancer Institute (NCI) Enterprise Vocabulary Services (EVS). The most recent version should be accessed through the CDISC website at: https://www.cdisc.org/standards/terminology/controlled-terminology.

Reference for the PASI V2:

Feldman SR, Krueger GG. Psoriasis assessment tools in clinical trials. Ann Rheum Dis. 2005;64(Suppl 2):ii65–ii73.

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3 The QS Domain Model

3.1 Assumptions for the QS Domain Model

All assumptions and business rules described in the SDTMIG QS domain are applicable to this supplement. Additional assumptions specific to the QRS Short_Name are listed below.

The QRS Short_Name is a multiple-choice instrument that clinicians may use to assess the severity of depressive symptoms. It consists of 30 items, each rated on a 4-point scale. A total score between 0-84 is also captured.

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Include a description of scale score or other possible responses (You may need multiple numbered points for this, tho the IDS-SR did not.). For scale scores use the following language: The scale points include a numeric rating (0-3) and a definition of what is represented by the rating (e.g., 0 = "I never take longer than 30 minutes to fall asleep"). For the QRS Short_Name, QSORRES is populated with the text description while the numeric rating is represented in the standardized character and numeric result variables QSSTRESC and QSSTRESN.

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Revision History

© 2022 Clinical Data Interchange Standards Consortium, Inc. All rights reserved. 

1 Introduction

This document describes the CDISC implementation of the Psoriasis Area and Severity Index Version Feldman (PASI FELDMAN) instrument. Note that Version 1 of the CDISC Controlled Terminology is scheduled for deprecation and an associated CDISC Version 1 instrument and SDTMIG QRS supplement were never released.

There is no known standard case report form (CRF) available for this instrument. CDISC created this CRF to represent the instrument, which CDISC believes is in the public domain. This is not an endorsement of the instrument. The creation of this instrument was based on published articles describing the instrument. Sponsors may create this instrument’s CRF using their style guidelines, but they need to maintain the wording and order of the questions/items and responses as described on the CRF.

The representation of data collected for this instrument is based on the Study Data Tabulation Model Implementation Guide (SDTMIG) Disease Response and Clin Classification (RS) domain model, which can be found on the CDISC website at: https://www.cdisc.org/standards/foundational/sdtmig.

These specific implementation details for this instrument are meant to be used in conjunction with the SDTMIG. All CDISC Questionnaires, Ratings and Scales (QRS)documentation packages can be found on the CDISC website at: https://www.cdisc.org/standards/foundational/qrs.

The CDISC Intellectual Property Policy can be found on the CDISC website at: https://www.cdisc.org/about/bylaws.

1.1 Representations and Warranties, Limitations of Liability, and Disclaimers

This document is a supplement to the SDTMIG for Human Clinical Trials and is covered under Appendix F of that document, which describes representations, warranties, limitations of liability, and disclaimers. Please see Appendix F of the SDTMIG for a complete version of this material.

CDISC specifies how to structure the data that has been collected in a database, not what should be collected or how to conduct clinical assessments or protocols. CDISC disclaims any liability for your use of this material.

Although the United States Food and Drug Administration (US FDA) has provided input with regard to this supplement, this input does not constitute US FDA endorsement of any particular instrument.

2 Copyright Status

CDISC believes this instrument to be in the public domain, but you should perform your own assessment. CDISC has included the PASI V2in the CDISC library of QRS data standards supplements. Hence, CDISC developed RSTESTCD and RSTEST for each item based on the actual text on the instrument. There may be many versions of this instrument. CDISC has chosen to use this version as the data standard.

The CDISC documentation of this instrument consists of: (1) controlled terminology, (2) standard database structure with examples, and (3) CRF(s) annotated with the CDISC SDTMIG variables with submission values. 

Note: CDISC Controlled Terminology is maintained by National Cancer Institute (NCI) Enterprise Vocabulary Services (EVS). The most recent version should be accessed through the CDISC website at: https://www.cdisc.org/standards/terminology/controlled-terminology.

Reference for the PASI FELDMAN:

• Feldman SR, Krueger GG. Psoriasis assessment tools in clinical trials. Ann Rheum Dis. 2005;64(Suppl 2):ii65–ii68.
• CDISC believes this instrument to be in the public domain, but you should perform your own assessment.

3 The RS Domain Model

3.1 Assumptions for the RS Domain Model

All assumptions and business rules described in the SDTMIG RS domain are applicable to this supplement. Additional assumptions specific to the PASI FELDMAN are listed below.

The PASI FELDMAN is a tool used to assess the severity of psoriasis. However, there is no standard set of responses for the PASI that is used throughout the industry. This supplement uses the Feldman article as the standard for responses. The PASI FELDMAN divides the body into 4 sections (i.e., head, trunk, upper extremities, lower extremities) and assesses symptom severity and the percentage of each area affected by psoriasis. The symptoms are rated on a 5-point scale and the area is rated on a 7-point scale. Subscores for each section of the body and a total score are also captured.

1. The scale points for the symptoms include a numeric rating (0-4) and a definition of what is represented by the rating (e.g., 0 = "None"). For the PASI FELDMAN, RSORRES is populated with the text description; the numeric rating is represented in the standardized character and numeric result variables RSSTRESC and RSSTRESN.

   1. CDISC created a CRF based on the Feldman article using the symptom terms "erythema/redness," "thickness/induration," and "desquamation/scaling." Per subject-matter expert recommendations, desquamation was included with scaling even though desquamation is not referenced in the Feldman article.
      
2. The scale points for the area include a numeric rating (0-6) and a definition of what is represented by the rating (e.g., 0 = "0 (clear)"). For the area, RSORRES is populated with the text description; the numeric rating is represented in the standardized character and numeric result variables RSSTRESC and RSSTRESN.
   

3. The PASI FELDMAN instrument includes subscores and a total score that are considered as captured data on the CRF and are not considered as derived in the example below. These scores may be submitted in SDTM or derived in the Analysis Data Model (ADaM) per scoring instructions from the Feldman reference.

   1. If operationally defined by the sponsor, it is the sponsor's responsibility to set the --DRVFL flag based on their eCRF process to derive subtotals and total scores. An investigator-derived score will be considered a captured score and not flagged. When subtotal and total scores are derived by the sponsor, the derived flag (--DRVFL) is set to "Y". However, when the subtotal and total scores are received from a central provider or vendor, the value would go into --ORRES and --DRVFL would be null (see SDTMIG Section 4.1.8.1, Origin Metadata for Variables).

   2. If scores are received by the sponsor, it is recommended that they are submitted to SDTM and verified in ADaM.

4. Records are created in rs.xpt for every item on the instrument: 

   1. For items with no data, RSORRES, RSSTRESC, and RSSTRESN are all missing and RSSTAT = "NOT DONE".  If the reason is known, that reason is represented in RSREASND (e.g., RSREASND = "REFUSED"). If the reason is unknown, RSSTAT = "NOT DONE" and RSREASND is missing.

5. Terminology

   1. RSCAT, RSTESTCD, and RSTEST values are included in CDISC Controlled Terminology.

   2. A full list of value sets for the result field is provided in Section 4, SDTM Mapping Strategy.

3.2 Example for the PASI FELDMAN RS Domain Model

The PASI FELDMAN example below shows the terminology used to implement the instrument in the RS domain. The example uses CDISC Controlled Terminology for RSTESTCD, RSTEST, and RSCAT. All original results, matching the CRF item response text, are represented in RSORRES. This result is then represented as a standard numeric score in RSSTRESN and as a standard character representation in RSSTRESC.

The table represents the items from the PASI FELDMAN instrument.

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Records are created in qs.xpt for every item on the instrument: 

1. For items with no data, QSORRES, QSSTRESC, and QSSTRESN are all missing and QSSTAT = "NOT DONE".  If the reason is known then that reason is represented in QSREASND (e.g., QSREASND = "LOGICALLY SKIPPED ITEM" or QSREASND = "PREFER NOT TO ANSWER"). If the reason is unknown, then QSSTAT = "NOT DONE" and QSREASND is missing.

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If the instrument standards currently being developed includes logically skipped items, insert:  Some items on the QRS Short_Name may be logically skipped per the instrument instructions. Only one of the 2 oxygen saturation scales (RSTESTCD = "NEWS102" or "NEWS103") is completed for each subject. The other will be treated as a logically skipped item. In addition, item RSTESTCD = "NEWS104A" is only completed when the response to RSTESTCD = "NEWS104" is the amount of oxygen received (in L/min). A record is created in rs.xpt for all items. When an item is considered a logically skipped item, it is represented as follows:

1. RSSTAT = "NOT DONE".       

2. RSREASND = "LOGICALLY SKIPPED ITEM".
   

3. RSORRES, RSSTRESC, and RSSTRESN are set to null (missing).

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Include this point if score(s) are submitted to SDTM. Update blue text: The QRS Short_Name instrument includes a total score (and other scores as needed.  If so, change "that is" to "that are") that is considered as captured data on the CRF and is not considered as derived in the example below. These scores may be submitted in SDTM or derived in the Analysis Data Model (ADaM) per scoring instructions from [Insert copyright holder's name or other source.].

1. If operationally defined by the sponsor, it is the sponsor's responsibility to set the --DRVFL flag based on their eCRF process to derive subtotals and total scores. An investigator-derived score will be considered a captured score and not flagged. When subtotal and total scores are derived by the sponsor, the derived flag (--DRVFL) is set to "Y". However, when the subtotal and total scores are received from a central provider or vendor, the value would go into --ORRES and --DRVFL would be null (see SDTMIG Section 4.1.8.1, Origin Metadata for Variables).

2. if scores are received by the sponsor, it is recommended that they are submitted to SDTM and verified in ADaM.

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This language is currently under review. Evaluator information is only to be included when the information is collected directly on the CRF. instruments will no longer be using QSEVAL/QSEVALID; however RSEVAL/RSEVALID and FTEVAL/FTEVALID will continue to be used on Clinical Classifications and Functional Tests. Language for Clinical Classifications and Functional tests follows; language for instruments is currently under review. Remove this point if it does not apply.

For Clinical Classifications and Functional Tests (only when collected on the CRF):  *** This section to be updated.  QSEVAL/ID, FTEVAL/ID, and RSEVAL/ID will no longer be used.  Supplemental qualifiers will represent this information. *** For QRS Short_Name, the evaluator is defined as the (the appropriate term from controlled terminology). Alternatively, if only evaluator name or initials could be collected: For QRS Short_Name, sponsors should follow their internal data management procedures on representing the name or initials of the evaluator. CDISC Controlled Terminology is available for Evaluator (e.g., --EVAL = "HEALTH CARE PROFESSIONAL") and Medical Evaluator (e.g., --EVALID = "RATER 1"). To reiterate, only include this point if the evaluator/administrator is collected directly on the CRF.

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Include this point if there are comments at the end of the instrument. Remove this point if it does not apply.: Comments located at the end of the QRS Short_Name will be recorded in the Comments domain (CO). All assumptions and business rules described in the SDTMIG CO domain are applicable.

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Include this point if there are responses over 200 characters. Remove this point if it does not apply: Some responses to the QRS Short_Name items exceeded the 200-character limit for the QSORRES variable and needed to be reduced to fewer than 200 characters. Section 4, SDTM Mapping Strategy, indicates which item responses were revised in order to fit the 200-character limit.

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Terminology

1. QSCAT, QSTESTCD, and QSTEST (and other variables such as QSORRESU as needed) values are included in CDISC Controlled Terminology.

2. A full list of value sets for the qualifier, timing, result, and unit fields is provided in Section 4, SDTM Mapping Strategy. (Note: Only the result field is always used. Include qualifier, timing, and unit fields as needed and remove this note.)

3.2 Example for the QRS Short_Name QS Domain Model

The QRS Short_Name example below shows the terminology used to implement the instrument in the QS domain. This example shows the data for 1 subject collected at the baseline visit for the QRS Short_Name instrument. The example uses CDISC Controlled Terminology for QSTESTCD, QSTEST, and QSCAT. All original results are represented with preferred terminology in QSORRES. This result is then transformed into the standard numeric score in QSSTRESN and a character representation of the standard numeric score in QSSTRESC.

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The following is for illustrative purposes and would not really be included for the IDS-SR instrument in this template. It provides an example of what would need to be included if the instrument required supplemental qualifiers (see Section 5 Supplemental Qualifier Name Codes):

Text that would remain unchanged has been left in black:

The evaluation interval text value for data collection needs to be populated in SUPPQS as follows. The standard terminology for QNAM and QLABEL are listed below.

4 SDTM Mapping Strategy

This section is used for reference regarding the CRF data capture and to understand the alignment of the instrument to the SDTM QS domain. It also provides guidance on how the result variables (QSORRES, QSSTRESC, and QSSTRESN) should be populated.

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For QRS instruments with subcategories:

When subcategories are used on an instrument, a table with the following introduction information should appear before the mappings for results.

QSSCAT alignment with QSTESTCD

As stated in Section 3.1 assumptions, items on the QRS Short_Name are grouped into subcategories. The table below includes the subcategory names along with the applicable item numbers for each category. The values of the subcategories are used to populate QSSCAT and are annotated on the CRF.

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If all items have the same original result values, with the same standardized character and numeric values, then only include one table showing the values of QSORRES/QSSTRESC/QSSTRESN and put "All QSTESTCDs" (title case "All", and in quotes) above the table:

"All QSTESTCDs"

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Similarly, if some, but not all, QSTESTCDs share the same original result and standardized values, then the QSTESTCD and corresponding QSTEST values are put in a list above the table rather than providing a separate table for each QSTESTCD/QSTEST.

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If there are responses that correspond to non-consecutive items or 1-7 consecutive items, include the test codes and test names above the table with the responses as follows:

QSTESTCD = "test code 1" QSTEST = "test name 1"

QSTESTCD = "test code 4" QSTEST = "test name 4"

QSTESTCD = "test code 5" QSTEST = "test name 5"

QSTESTCD = "test code 6" QSTEST = "test name 6"

QSTESTCD = "test code 7" QSTEST = "test name 7"

QSTESTCD = "test code 8" QSTEST = "test name 8"

QSTESTCD = "test code 15" QSTEST = "test name 15"

QSTESTCD = "test code 22" QSTEST = "test name 22"

QSTESTCD = "test code 27" QSTEST = "test name 27"

QSTESTCD = "test code 29" QSTEST = "test name 29"

4 SDTM Mapping Strategy

This section is used for reference regarding the CRF data capture and to understand the alignment of the instrument to the SDTM RS domain. It also provides guidance on how the result variables (RSORRES, RSSTRESC, and RSSTRESN) should be populated.

RSTESTCD = "PASI0201" RSTEST = "PASI02-Head: Erythema/Redness"

RSTESTCD = "PASI0202" RSTEST = "PASI02-Head: Thickness/Induration"

RSTESTCD = "PASI0203" RSTEST = "PASI02-Head: Desquamation/Scaling"

RSTESTCD = "PASI0205" RSTEST = "PASI02-Up Extrem: Erythema/Redness"

RSTESTCD = "PASI0206" RSTEST = "PASI02-Up Extrem: Thickness/Induration"

RSTESTCD = "PASI0207" RSTEST = "PASI02-Up Extrem: Desquamation/Scaling"

RSTESTCD = "PASI0209" RSTEST = "PASI02-Trunk: Erythema/Redness"

RSTESTCD = "PASI0210" RSTEST = "PASI02-Trunk: Thickness/Induration"

RSTESTCD = "PASI0211" RSTEST = "PASI02-Trunk: Desquamation/Scaling"

RSTESTCD = "PASI0213" RSTEST = "PASI02-Low Extrem: Erythema/Redness"

RSTESTCD = "PASI0214" RSTEST = "PASI02-Low Extrem: Thickness/Induration"

RSTESTCD = "PASI0215" RSTEST = "PASI02-Low Extrem: Desquamation/Scaling"

RSTESTCD = "PASI0204" RSTEST = "PASI02-Head: Area Score"

RSTESTCD = "PASI0208" RSTEST = "PASI02-Up Extrem: Area Score"

RSTESTCD = "PASI0212" RSTEST = "PASI02-Trunk: Area Score"

RSTESTCD = "PASI0216" RSTEST = "PASI02-Low Extrem: Area Score"

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Omit the QSSTRESN column when it is not applicable to the dataset.

QSTESTCD = "test code" QSTEST = "test name"

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For responses that are for 8 or more consecutive items, an override label should be used in QRS Maker to show the items that are included as follows:

QSTESTCD = "first test code in sequence" QSTEST = "first test name in sequence" through

QSTESTCD = "last test code in sequence" QSTEST = "last test name in sequence"

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5 Supplemental Qualifier Name Codes

The following table contains additional standard name codes for use in the Supplement Qualifiers for Questionnaires (SUPPQS) special purpose dataset.

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End of Document