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Variable NameVariable LabelTypeCodelist/Controlled TermsCoreNotes

STUDYID

Study IdentifierChar
ReqDM.STUDYID, ADSL STUDYID, and/or STUDYID from another ADaM or SDTM dataset appropriate to the analysis.
USUBJIDUnique Subject IdentifierChar
ReqDM.USUBJID, ADSL.USUBJID, and/or USUBJID from another ADaM or SDTM dataset appropriate to the analysis.
SUBJIDSubject Identifier for the StudyChar
PermDM.SUBJID, ADSL.SUBJID, and/or SUBJID from another ADaM dataset appropriate to the analysis. SUBJID is required in ADSL, but permissible in other datasets.
SITEIDStudy Site IdentifierChar
PermDM.SITEID, ADSL.SITEID, and/or SITEID from another ADaM dataset appropriate to the analysis. SITEID is required in ADSL, but permissible in other datasets.
ASTDTAnalysis Start DateNum
Cond

Created from converting AE.AESTDTC from character ISO8601 format to numeric date format, applying imputation rules as specified in the SAP or metadata.
Conditional on whether start date is pertinent for study and is populated in SDTM.

ASTDTMAnalysis Start Date/TimeNum
CondCreated from converting AE.AESTDTC from character ISO8601 format to numeric time format, applying imputation rules as specified in the SAP or metadata.
Conditional on whether start time is pertinent for study and is populated in SDTM.
AENDTAnalysis End DateNum
CondCreated from converting XX.--ENDTC from character ISO8601 format to numeric date format, applying imputation rules as specified in the SAP or metadata.
Conditional on whether end date is pertinent for study and is populated in SDTM.
AENDTMAnalysis End Date/TimeNum
CondCreated from converting XX.--ENDTC from character ISO8601 format to numeric time format, applying imputation rules as specified in the SAP or metadata.
Conditional on whether end time is pertinent for study and is populated in SDTM.
ASTDYAnalysis Start Relative DayNum
CondExample derivation:
ASTDT – ADSL.TRTSDT + 1 if ASTDT ≥ TRTSDT, else ASTDT – ADSL.TRTSDT if ASTDT< TRTSDT
This variable may instead be copied from --STDY.
Conditional on whether analysis start relative day is pertinent to the study.
AENDYAnalysis End Relative DayNum
CondExample derivation:
AENDT – ADSL.TRTSDT + 1 if AENDT ≥ TRTSDT, else AENDT – ADSL.TRTSDT if AENDT < TRTSDT
This variable may instead be copied from --ENDY.
APERIODPeriodNum
CondAPERIOD is a record-level timing variable that represents the analysis period within the study associated with the record for analysis purposes. The value of APERIOD (if populated) must be one of the xx values found in the ADSL TRTxxP variable names. APERIOD is required if ASPER is present. APERIOD must be populated on all records where ASPER is populated
APERIODCPeriod (C)Char
PermText characterizing to which period the record belongs. One-to-one map to APERIOD.
APHASEPhaseChar
PermAPHASE is a categorization of timing within a study, for example a higher-level categorization of APERIOD or an analysis epoch. For example, APHASE could describe spans of time for SCREENING, ON TREATMENT, and FOLLOW-UP. APHASE may be used alone or in addition to APERIOD. APHASE is independent of TRTxxP within ADSL. APHASE may be populated for spans of time where a subject is not on treatment. The value of APHASE (if populated) must be one of the values found in the ADSL APHASEw variables.
TRTEMFLTreatment Emergent Analysis FlagCharYCondTreatment emergent flag as defined for analysis. Variable TRTEMFL is to be used for any analysis of treatment-emergent AEs. This variable is conditional on whether the concept of treatment emergent is a key feature of the AE analyses.
Example derivation:
If ADSL.TRTSDT≤ASTDT≤ADSL.TRTEDT + x days then TRTEMFL=’Y’
The number x is defined by the producer and often incorporates the known half-life of the drug. It should be consistent with variable APHASE (described above) if APHASE is also used.
AETRTEMTreatment Emergent FlagChar(NY)PermTreatment emergent flag from SDTM, if available. See the SDTMIG version 3.2 [3] for more information.
Derivation:
SUPPAE.QVAL where QNAM=’AETRTEM’.
TRTEMFL may differ from AETRTEM due to different definitions, date imputation and other analysis rules. Including AETRTEM in addition to TRTEMFL will add traceability.
AOCCFL1st Occurrence within Subject FlagCharYPermCharacter indicator for the first occurrence of any event/intervention/finding within the subject.
Example derivation: Sort the data in the required order and flag the first treatment emergent record for each subject.
AOCCPFL1st Occurrence of Preferred Term FlagCharYPermCharacter indicator for the first occurrence of the preferred term within the subject.
Example derivation: Sort the data in the required order and flag the first treatment emergent record for each AEDECOD for each subject.
AOCCSFL1st Occurrence of SOC FlagCharYPermCharacter indicator for the first occurrence of the system organ class within the subject.
Example derivation: Sort the data in the required order and flag the first treatment emergent record for each body system for each subject.
AESERSerious EventChar(NY)ReqAE.AESER
AERELCausalityChar
PermAE.AEREL
RELGRyPooled Causality Group yChar
PermPooled grouping of causality of study drug for analysis (e.g. related, Not related).
RELGRyNPooled Causality Group y (N)Num
PermCode of RELGRy to numeric
Low relation should correspond to low value
AETOXGRStandard Toxicity GradeChar
PermAE.AETOXGR
ATOXGRAnalysis Toxicity GradeChar
PermToxicity grade for analysis. May be based on AETOXGR or an imputed or assigned value. May change case of text, such as from all uppercase in AETOXGR to mixed case in ATOXGR.
ATOXGRNAnalysis Toxicity Grade (N)Num
PermCode ATOXGR to numeric
Low toxicity should correspond to low value
AEACNAction Taken with Study TreatmentChar(ACN)PermAE.AEACN
TRTPPlanned TreatmentChar
CondTRTP is a record-level identifier that represents the planned treatment attributed to a record for analysis purposes. TRTP indicates how treatment varies by record within a subject and enables analysis of crossover and other designs. Though there is no requirement that TRTP will correspond to the TRTxxP as defined by the record's value of APERIOD, if populated, TRTP must match at least one value of the character planned treatment variables in ADSL (e.g., TRTxxP, TRTSEQP, TRxxPGy).
As noted previously, at least one treatment variable is required even in non-randomized trials. This requirement is satisfied by any subject-level or record-level treatment variables (e.g., TRTxxP, TRTP, TRTA). Even if not used for analysis, any ADSL treatment variable may be included in the BDS dataset.
TRTxxPPlanned Treatment for Period xxChar
CondADSL.TRTxxP
TRTAActual TreatmentChar
CondTRTA is a record-level identifier that represents the actual treatment attributed to a record for analysis purposes. TRTA indicates how treatment varies by record within a subject and enables analysis of crossover and other multi-period designs. Though there is no requirement that TRTA will correspond to the TRTxxA as defined by the record's value of APERIOD, TRTA must match at least one value of the character actual treatment variables in ADSL (e.g., TRTxxA, TRTSEQA, TRxxAGy).
As noted previously, at least one treatment variable is required. This requirement is satisfied by any subject-
TRTxxAActual Treatment for Period xxChar
CondADSL.TRTxxA
COUNTRYCountryChar
PermADSL.COUNTRY
AGEAgeNum
PermADSL.AGE
SEXSexChar
PermADSL.SEX
RACERaceChar
PermADSL.RACE
ETHNICEthnicityChar
PermADSL.ETHNIC
SAFFLSafety Population FlagChar
CondSDSL.SAFFL
RANDFLRandomized Population FlagChar
CondADSL.RANDFL
TRTSDTDate of First Exposure to TreatmentNum
PermADSL.TRTSDT
TRTEDTDate of Last Exposure to TreatmentNum
PermADSL.TRTEDT
AETERMReported Term for the Adverse EventChar
ReqAE.AETERM
AEBODSYSBody System or Organ ClassChar
ReqAE.AEBODSYS
AEDECODDictionary-Derived TermChar
ReqAE.AEDECOD
AEOUTOutcome of Adverse EventChar
PermAE.AEOUT
AESEQSequence NumberNum
PermAE.AESEQ
SMQzzNAMSMQ zz NameChar
CondThe standardized MedDRA queries name. Would be blank for terms that are not in the SMQ. Therefore this variable could be blank for all records if no terms within the study were included in the SMQ.
Conditional on whether SMQ analysis is done.
SMQzzSCSMQ zz ScopeCharBROAD; NARROWCondThe search strategy for SMQs can be narrow or broad. The preferred terms that are narrow in scope have high specificity for identifying events of interest while the broad terms have high sensitivity. By definition, all narrow terms are also considered within the broad scope. Therefore, to summarize all broad terms, terms with either narrow OR broad would be considered. Will be null for terms that do not meet the criteria.
Conditional on whether SMQ analysis is done.
CQzzNAMCustomized Query zz NameChar
CondThe customized query (CQ) name or name of the AE of special interest category based on a grouping of terms. Would be blank for terms that are not in the CQ.
Conditional on whether CQ analysis is done.
Examples: “DERMATOLOGICAL EVENTS” “CARDIAC EVENTS”, “IARS (INFUSION ASSOCIATED REACTIONS)”
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