Questions:
- Is screening considered visit 1, or is it to include the subject into the study? SDTM team agreed to change to VISIT 1 instead of SCREENING.
- Are these Real World Evidence (RWE) studies only or clinical trials?
- Should both endpoints be shown in one efficacy dataset or two? I will be showing 3 datasets.
- What is a good surface area to use for the child subject?
- Should i use Male and 6 years? please advise.
This example illustrates example analysis datasets for the following endpoints:
- From CV domain
- Percent change in ejection fraction over time
- Decline in ejection fraction over a time period (yearly) grouped by a decline greater than 10.0%.
- From the LB domain
- Percent change in NTproBNP over a period of time (yearly).
Source Data
The SDTM examples used as the source data are from Section 2.1, Basic CMR tests - Systolic Function. The example datasets show visits 1 and 6 for one subject. The subject was enrolled in the study on 20-May-2021 and the study visits were every two months. Visit 1 represents the visit at day 1 of the study, and visit 6 represents the visit at month 12 of the study. The associated laboratory test, N-Terminal ProB-type Natriuretic Peptide, is used in conjunction with ejection fraction as a biomarker and is important for diagnosis and treatment. It is also used separately to identify the percent change over a period of time.
Analysis Datasets
The example analysis dataset includes treatment and demographic information drawn from the ADSL, defined in the Metadata Table below. In this example, only some of the required variables, plus important stratification variables from ADSL, are shown. One variable mentioned body surface area (BSA), can be computed and added to ADSL. However, since the subjects are children, the body surface area changes over time. Therefore, it would probably be better to have a separate dataset to represent this over time.
The table below shows the example analysis datasets and unique parameters for this example. The Subject Level Analysis Dataset (ADSL) is a necessary component in the creation process of subsequent analysis datasets for human trials. The ADSL incorporates demographics, treatment groups, study dates, and stratification variables. In this example, the ADSL is not illustrated, but serves as a source for standard ADaM variables. Additional information can be found in Section 2.3.1 of the ADaM Implementation Guide (ADaMIG) v1.3.
The ADCVEF dataset includes tests pertinent to this analysis, those for which CVTESTCD is equal to "LVEF_C" or "RVEF_C". The relationship dataset RELREC illustrates the relationship between datasets.
The ADCVNTRP dataset is a subset of the Laboratory Results (LB) SDTM dataset, for which LBTESTCD is equal to "BNPPRONT". In this case, many lab draws may occur throughout the year, but only those linked to a specific visit are included. By subsetting the LB dataset with LBLNKID not missing, laboratory data that aligns with CV data can be filtered out and sorted using USUBJID and VISIT. If LBLNKID is not available, a windowing strategy could be used to select the laboratory draw closest to that visit for merging with CV, computed in AVISIT.
ADCMRI is an efficacy analysis dataset with only a few records for more complex modeling of changes in ejection fraction, plus the ProB-type test results. It is an ADaM Basic Data Structure (BDS) dataset, with additional variables added from ADCVEF.
Analysis Datasets
Dataset Name | Dataset Description | Class of Dataset | Structure | Location | Keys | Documentation |
---|---|---|---|---|---|---|
ADSL | Subject-Level Analysis Dataset | SUBJECT LEVEL ANALYSIS DATASET | adsl.xpt | One record per subject | USUBJID | ADaMIG v1.3 section 3.1.1 |
ADCVNTP | Cardiac Ejection Fraction and NTproBNP Analysis Dataset | BASIC DATA STRUCTURE | One record per subject per analysis visit per parameter. | adcvntrp.xpt | USUBJID, AVISITN, PARAMN | Analysis Dataset |
Parameter Value List - ADCVNTP [ADCVNTP]
Dataset | Variable | Where | Type | Origin | Derivation/Comment |
---|---|---|---|---|---|
ADCVNTP | AVAL | PARAMCD = "LVEFC" | Num | Predecessor | Set to CV.CVSTRESN where CV.CVTESTCD = "LVEF_C" |
ADCVNTP | AVAL | PARAMCD = "RVEFC" | Num | Predecessor | Set to CV.CVSTRESN where CV.CVTESTCD = "RVEF_C" |
ADCVNTP | AVAL | PARAMCD = "BNPPRONT" | Num | Predecessor | Set to LB.LBSTRESN where LB.LBTESTCD = "BNPPRONT" |
Analysis Datasets
The subsequent section provides the data structures for the example ADaM datasets. In this example, columns for derived variables BASE, CHG, PCHG and CHGCAT1 have been added to facilitate analyses of the efficacy endpoints. Specifically, example demographic data for ADSL were created for an 8 year old male. Also, a custom variable for BSA at baseline (BSABASE), was added from ADSL.
ADCVNTP Variable Metadata
Variable Name | Variable Label | Type | Codelist/Controlled Terms/Format | Source | Derivation/Comment |
---|---|---|---|---|---|
STUDYID | Study Identifier | Char | CV.STUDYID | ||
USUBJID | Unique Subject Identifier | Char | CV.USUBJID | Select for records with RE data. | |
ASEQ | Analysis Sequence Number | Num | CV.CVSEQ | Number records 1 to n after sorting by keys. | |
BSABASE | Body Surface Area (m2) at Baseline | Num | ADSL.BSABASE | Compute in ADSL where VS.VSTESTCD = "BSA". | |
PARAM | Parameter | Char | Left Ventricular Ejection Fraction, Calculated (%); Right Ventricular Ejection Fraction, Calculated (%); N-Terminal ProB-type Natriuretic Peptide (pg/mL) | For tests from CV, set to the values of CV.CVTEST plus CV.CVTESTU with spaces and parentheses as shown. For tests from LB, set to the value of LB.LBTEST plus LB.LBTESTU with spaces and parentheses as shown. | |
PARAMCD | Parameter Code | Char | LVEFC; RVEFC; BNPPRONT; | If CV.CVTESTCD = "LVEF_C" then PARAMCD = "LVEFC" If CV.CVTESTCD = "RVEF_C" then PARAMCD = "RVEFC". If LB.LBTESTDC = "BNPPRONT" then PARAMCD = "BNPPRONT. Note: for this example dataset, select the records where the test values shown above are included. | |
PARAMN | Parameter Number | Num | Number PARAMCD as follows: LVEFC = "1" RVEFC = "2" BNPPRONT = "3" | ||
AVAL | Analysis Value | Num | See Parameter Value List | ||
AVISIT | Analysis Visit | Char | If CV.VISIT = "VISIT 1" then AVISIT = "Visit 1 (Baseline)". Else if CV.VISIT = "VISIT 6" then AVISIT = "Visit 6 (1 Year)". | ||
AVISITN | Analysis Visit (N) | Num | Set to value of CV.VISITNUM or LB.VISITNUM | ||
VISIT | Visit | Num | CV.VISIT LB.VISIT | ||
ADT | Analysis Date | Num | date9. | Date portion of CV.CVDTC or LB.LBDTC converted to numeric and displayed in a format such as date9. | |
ABLFL | Baseline Record Flag | Char | Y | If CV.VISIT = 1 then ABLFL = "Y". | |
BASE | Baseline Value | Num | Set BASE to AVAL from the record for that subject and parameter where ABLFL = "Y". Populate BASE for additional visits by copying the value of BASE in the baseline record by USUBJID and ADT. (Or by AVISIT if ADT varies for labs, where windowing is applied to select record closest to the visit) | ||
CHG | Change from Baseline | Num | Compute CHG = AVAL - BASE for that record. Only compute for post-baseline records. | ||
PCHG | Percent Change from Baseline | Num | Compute PCHG = (CHG / BASE) * 100. Only compute for post-baseline records. | ||
CHGCAT1 | Change from Baseline Category 1 | Char | Decline >=10.0; Decline < 10.0; Increase | Categorize the value of CHG for Left Ventricular Ejection Fraction, and Calculated (%) (LVEFC) and for Right Ventricular Ejection Fraction, Calculated (%) (RVEFC) | |
CHGCAT2 | Change from Baseline Category 2 | Chart | Categorize the value of CHG for N-Terminal ProB-type Natriuretic Peptide (pg/mL) (BNPPRONT) | ||
TRT01P | Planned Treatment for Period 01 | Char | Treatment A | ADSL.TRT01P | For this example we are using "Treatment A". In a Real World Evidence study this could be non-treatment related, e.g. "Group A". |
ITTFL | Intent-to-Treat Population Flag | Char | Y; N | ADSL.ITTFL | |
AGE | Age | Num | ADSL.AGE | ||
AGEU | Age Units | Char | (AGEU) | ADSL.AGEU | |
SEX | Sex | Char | (SEX) | ADSL.SEX | |
SRCDOM | Source Data | Char | CV; LB | Set to the SDTM domain name that relates to the analysis value. | |
SRCSEQ | Source Sequence Number | Num | CV.CVSEQ LB.LBSEQ | Set to the SDTM domain sequence number that relates to the analysis value. |
Example 1
This example dataset shows the findings and additional analysis variables associated with:
- Left Ventricular Ejection Fraction, Calculated (%)
- Right Ventricular Ejection Fraction, Calculated (%)
- N-Terminal ProB-type Natriuretic Peptide (pg/mL)
Dataset Wrapper Debug Message
Please add a row column to your dataset.
The dataset above can also be set up to provide multivariate analyses by taking the lab tests of interest, transposing and merging with the ADCVNTPP dataset. In that case, the records from LB are not needed as a row.
The variables transposed and merged to the rows created from CV are:
Dataset | Value | Where | Variable | Variable Label |
---|---|---|---|---|
ADCVNTP | AVAL | PARAMCD = "BNPPRONT" | BNPPRONT | N-Terminal ProB-type Natriuretic Peptide (IU/L) |
ADCVNTP | CHG | PARAMCD = "BNPPRONT" | BNPCHG | N-Term ProB-type N Pep Change Category |
Example Analysis Results Metadata (ARM) Tables
This table may be included in the submission package for regulatory agencies. It describes the analyses conducted for the study (usually limited to primary and secondary endpoints) with details on data and analysis procedures used. The first example uses the dataset ADCVNTPR, selecting for the parameter "N-Terminal ProB-type Natriuretic Peptide (IU/L)".
Display | Table 14.xx.xx Percent change in NTproBNP over a period of time (yearly) |
---|---|
Analysis Result | Comparison of Percent Change of NTproBNP for the Treatment Groups Over Time (quarterly or yearly) |
Analysis Variables(s) | PCHG |
Analysis Reason | Primary efficacy endpoint as prespecified in the SAP |
Analysis Purpose | Primary outcome measure |
Data References (incl. selection criteria) | PARAMCD = "BNPPRONT" Where ITTFL = "Y" |
Documentation | The mixed model using lsmeans to compare treatment groups |
Programming Statements (Add programming language statements here: SAS, R, etc.) | PROC MIXED DATA=ADCVNTPR; WHERE PARAMCD = "BNPPRONT"; CLASS STUYDID TRT01P AVISITN; MODEL PCHG=AVISITN*TRT01P/Solution; RANDOM INTERCEPT / SUBJECT=STUYDID TYPE=UN; LSMEANS TRT01P*AVISITN/ CL PDIFF; RUN; |
Display | Table 14.xx.xx Percent Change in Left Ventricular Ejection Fraction Over Time |
---|---|
Analysis Result | Comparison of Percent Change of Ejection Fraction for the Treatment Groups Over Time (quarterly or yearly) |
Analysis Variables(s) | PCHG |
Analysis Reason | Primary efficacy endpoint as prespecified in the SAP |
Analysis Purpose | Primary outcome measure |
Data References (incl. selection criteria) | PARAMCD = "LVEFC" Where ITTFL = "Y" |
Documentation | The mixed model using lsmeans to compare treatment groups |
Programming Statements (Add programming language statements here: SAS, R, etc.) | PROC MIXED DATA=ADCVNTP; CLASS STUYDID TRT01P AVISITN; MODEL PCHG=AVISITN*TRT01P/Solution; RANDOM INTERCEPT / SUBJECT=STUYDID TYPE=UN; LSMEANS TRT01P*AVISITN/ CL PDIFF; RUN; |
Ejection Fraction
- change in ejection fraction, would expect a decline in EF 2-3% per year, would prefer an improvement or no change. Concerning if rapid progression, 10% decline or more, for example.
NTproBNP
- % change over a period of time – a decrease would mean improvement, annually is appropriate
SDTM Examples: Basic CMR tests - Systolic Function