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Dataset wrap

Name	famh

Rowcaps

Row 5:	Shows the number of pyoderma gangrenosum lesions.
Row 7:	(Option 1: red, AMBIGUOUS) I examined the skin of the knee and found that the longest diameter of the primary lesion was 30mm. This could be interpreted to mean that other locations might also have primary lesions.
Row 7:	(Option 2: yellow) The longest diameter of the primary lesion of pyoderma gangrenosum was 30mm and this result was obtained from the skin of the knee.

Dataset2

Row	STUDYID	DOMAIN	USUBJID	FASEQ	FALNKID	FATESTCD	FATEST	FAOBJ	FAORRES	FAORRESU	FASTRESC	FASTRESN	FASTRESU	FALOC	FALOBXFL	VISITNUM	VISIT	FADTC	FADY	FARESLOC
5	CR001	FA	CR001-001	5	4	LESNUM	Number of Lesions	Pyoderma gangrenosum	2		2	2			Y	1	SCREEN	2010-01-01	-3
7	CR001	FA	CR001-001	6	4	PLLDIAM	Longest Diameter of Primary Lesion	Pyoderma gangrenosum	30	mm	30	30	mm	SKIN OF THE KNEE	Y	1	SCREEN	2010-01-01	-3
7	CR001	FA	CR001-001	6	4	PLLDIAM	Longest Diameter of Primary Lesion	Pyoderma gangrenosum	30	mm	30	30	mm		Y	1	SCREEN	2010-01-01	-3	SKIN OF THE KNEE

Nsvmeta

Name	Label	Type	Codelist
FARESLOC	Result Location	text	(LOC)

But what do you do if you need the location and longest diameter is not collected...?

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