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Dataset wrap
Nameis
Dataset2

Row

STUDYID

DOMAIN

USUBJID

ISSEQ

ISREFID

ISGRPID

ISTESTCD

ISTEST

ISBDAGNT

ISTSTDTL

ISTSTOPO

ISORRES

ISORRESU

ISSTRESC

ISSTRESN

ISSTRESU

ISSPEC

ISMETHOD

VISITNUM

VISIT

ISDTC

1XYZISXYZ12341192837461ATABAutoantibodyNUCLEAR AUTOANTIGENSCYTOPLASMIC, SPECKLED PATTERNSCREENPOSITIVE
POSITIVE

SERUMFLUORESCENT IMMUNOASSAY1SCREENING2018-06-20
2XYZISXYZ12342192837461ATABAutoantibodyNUCLEAR AUTOANTIGENSCYTOPLASMIC, SPECKLED PATTERNQUANTIFY1:170
170170titerSERUMFLUORESCENT IMMUNOASSAY1SCREENING2018-06-20
3XYZISXYZ12341192837462ATABAutoantibodyNUCLEAR AUTOANTIGENS

NUCLEAR, NUCLEOLAR PATTERN

SCREENPOSITIVE
POSITIVE

SERUMFLUORESCENT IMMUNOASSAY1SCREENING2018-06-20
4XYZISXYZ12342192837462ATABAutoantibodyNUCLEAR AUTOANTIGENS

NUCLEAR, NUCLEOLAR PATTERN

QUANTIFY1:340
340340titerSERUMFLUORESCENT IMMUNOASSAY1SCREENING2018-06-20
5XYZISXYZ1234119283746
ATABAutoantibodyNUCLEAR AUTOANTIGENS

NUCLEAR, CENTROMERE PATTERN

SCREENNEGATIVE
NEGATIVE

SERUMFLUORESCENT IMMUNOASSAY1SCREENING2018-06-20


Decision and Additional Notes/Action Items:

Status
colourGreen
titleApproved



  • Team is happy with both approaches, this "reciprocal" modeling approach provides flexibility and allows sponsors to accommodate different data collection schemas. It is also highly consistent with LOINC, both example have LOINC codes corroboration.
  • Jordan to enter this into the CDISC Example Library.