Informations:
Erreur:
ID
46077
Description
SHIP study https://doi.org/10.1093/ije/dyac034
Lien
https://doi.org/10.1093/ije/dyac034
Mots-clés
Versions (1)
- 26/10/2024 26/10/2024 - Martin Dugas
Détendeur de droits
University Medicine Greifswald
Téléchargé le
26 de outubro de 2024
DOI
Pour une demande vous connecter.
Licence
Creative Commons BY 4.0
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Study SHIP-TREND_TREND1_MEX
t1.blood2
- StudyEvent: TREND_TREND1_MEX
- t1.blood2
- t1.echomkl
- t1.aharead
- t1.handgrip
- t1.sdknoten
- t1.ecgproce
- t1.bodpoddata
- t1.ogttint
- t1.echoallg
- t1.thyroidu
- t1.dupuytren
- t1.liverus
- t1.sum10
- t1.ogtt
- t1.kneescore
- t1.angle
- t1.blood1
- t1.bodpod
- t1.acti_init
- t1.ahaangread
- t1.sum60
- t1.handex
- t1.abstriche
- t1.carpalread
- t1.carpal
- t1.echoakl
- t1.fin
- t1.somatom
- t1.acti_exit
- t1.aha
- t1.urin
- t1.bloodpre
- t1.ecgrecor
Similar models
t1.blood2
- StudyEvent: TREND_TREND1_MEX
- t1.blood2
- t1.echomkl
- t1.aharead
- t1.handgrip
- t1.sdknoten
- t1.ecgproce
- t1.bodpoddata
- t1.ogttint
- t1.echoallg
- t1.thyroidu
- t1.dupuytren
- t1.liverus
- t1.sum10
- t1.ogtt
- t1.kneescore
- t1.angle
- t1.blood1
- t1.bodpod
- t1.acti_init
- t1.ahaangread
- t1.sum60
- t1.handex
- t1.abstriche
- t1.carpalread
- t1.carpal
- t1.echoakl
- t1.fin
- t1.somatom
- t1.acti_exit
- t1.aha
- t1.urin
- t1.bloodpre
- t1.ecgrecor
Name
Type
Description | Question | Decode (Coded Value)
Type de données
Alias
ogtt_blood2_begin
Item
Beginn
datetime
ogtt_blood2_begin (VAR_NAMES)
Start (LABEL)
datetime (DATA_TYPE)
missing_table_69 (MISSING_LIST_TABLE)
t1.blood2 (STUDY_SEGMENT)
0.0 (VARIABLE_ORDER)
Beginn (LABEL_DE)
T_BLOOD2 (TABLE_NAME)
t1.ogtt_blood2_begin (UNIQUE_NAME)
TREND (SOURCE)
SHIPTrend-1 (DCE)
TREND|TREND1|MEX|BIOMAT|BLOOD2 (HIERARCHY)
Start (LABEL)
datetime (DATA_TYPE)
missing_table_69 (MISSING_LIST_TABLE)
t1.blood2 (STUDY_SEGMENT)
0.0 (VARIABLE_ORDER)
Beginn (LABEL_DE)
T_BLOOD2 (TABLE_NAME)
t1.ogtt_blood2_begin (UNIQUE_NAME)
TREND (SOURCE)
SHIPTrend-1 (DCE)
TREND|TREND1|MEX|BIOMAT|BLOOD2 (HIERARCHY)
ogtt_blood2_usnr
Item
Untersucher(in)
integer
ogtt_blood2_usnr (VAR_NAMES)
OGTT: examiner number OGTT; 2 h blood sample (LABEL)
integer (DATA_TYPE)
missing_table_69 (MISSING_LIST_TABLE)
t1.blood2 (STUDY_SEGMENT)
10.0 (VARIABLE_ORDER)
Untersucher(in) (LABEL_DE)
T_BLOOD2 (TABLE_NAME)
t1.ogtt_blood2_usnr (UNIQUE_NAME)
TREND (SOURCE)
SHIPTrend-1 (DCE)
TREND|TREND1|MEX|BIOMAT|BLOOD2 (HIERARCHY)
OGTT: examiner number OGTT; 2 h blood sample (LABEL)
integer (DATA_TYPE)
missing_table_69 (MISSING_LIST_TABLE)
t1.blood2 (STUDY_SEGMENT)
10.0 (VARIABLE_ORDER)
Untersucher(in) (LABEL_DE)
T_BLOOD2 (TABLE_NAME)
t1.ogtt_blood2_usnr (UNIQUE_NAME)
TREND (SOURCE)
SHIPTrend-1 (DCE)
TREND|TREND1|MEX|BIOMAT|BLOOD2 (HIERARCHY)
Item
2. Untersucher(in)?
integer
ogtt_blood2_usnr2_yn (VAR_NAMES)
2nd examiner? (LABEL)
integer (DATA_TYPE)
0=no|1=yes (VALUE_LABELS)
missing_table_69 (MISSING_LIST_TABLE)
t1.blood2 (STUDY_SEGMENT)
17.0 (VARIABLE_ORDER)
2. Untersucher(in)? (LABEL_DE)
0=nein|1=ja (VALUE_LABELS_DE)
1 - data quality for request form (NOTE_TYPE)
Varianzanteil untersucherbedingt: 0,165 (NOTE_DE)
T_BLOOD2 (TABLE_NAME)
t1.ogtt_blood2_usnr2_yn (UNIQUE_NAME)
TREND (SOURCE)
SHIPTrend-1 (DCE)
TREND|TREND1|MEX|BIOMAT|BLOOD2 (HIERARCHY)
2nd examiner? (LABEL)
integer (DATA_TYPE)
0=no|1=yes (VALUE_LABELS)
missing_table_69 (MISSING_LIST_TABLE)
t1.blood2 (STUDY_SEGMENT)
17.0 (VARIABLE_ORDER)
2. Untersucher(in)? (LABEL_DE)
0=nein|1=ja (VALUE_LABELS_DE)
1 - data quality for request form (NOTE_TYPE)
Varianzanteil untersucherbedingt: 0,165 (NOTE_DE)
T_BLOOD2 (TABLE_NAME)
t1.ogtt_blood2_usnr2_yn (UNIQUE_NAME)
TREND (SOURCE)
SHIPTrend-1 (DCE)
TREND|TREND1|MEX|BIOMAT|BLOOD2 (HIERARCHY)
CL Item
nein (0)
CL Item
ja (1)
ogtt_blood2_usnr2
Item
zweite(r) Untersucher(in)
integer
ogtt_blood2_usnr2 (VAR_NAMES)
second examiner(s) (LABEL)
integer (DATA_TYPE)
missing_table_69 (MISSING_LIST_TABLE)
t1.blood2 (STUDY_SEGMENT)
20.0 (VARIABLE_ORDER)
zweite(r) Untersucher(in) (LABEL_DE)
T_BLOOD2 (TABLE_NAME)
t1.ogtt_blood2_usnr2 (UNIQUE_NAME)
TREND (SOURCE)
SHIPTrend-1 (DCE)
TREND|TREND1|MEX|BIOMAT|BLOOD2 (HIERARCHY)
second examiner(s) (LABEL)
integer (DATA_TYPE)
missing_table_69 (MISSING_LIST_TABLE)
t1.blood2 (STUDY_SEGMENT)
20.0 (VARIABLE_ORDER)
zweite(r) Untersucher(in) (LABEL_DE)
T_BLOOD2 (TABLE_NAME)
t1.ogtt_blood2_usnr2 (UNIQUE_NAME)
TREND (SOURCE)
SHIPTrend-1 (DCE)
TREND|TREND1|MEX|BIOMAT|BLOOD2 (HIERARCHY)
Item
Hat der Proband zwischen erster und zweiter Blutabnahme erbrochen?
integer
ogtt_erb (VAR_NAMES)
Has the test person vomited between the first and second blood sample? (LABEL)
integer (DATA_TYPE)
0=no|1=yes (VALUE_LABELS)
missing_table_69 (MISSING_LIST_TABLE)
t1.blood2 (STUDY_SEGMENT)
25.0 (VARIABLE_ORDER)
Hat der Proband zwischen erster und zweiter Blutabnahme erbrochen? (LABEL_DE)
0=nein|1=ja (VALUE_LABELS_DE)
T_BLOOD2 (TABLE_NAME)
t1.ogtt_erb (UNIQUE_NAME)
TREND (SOURCE)
SHIPTrend-1 (DCE)
TREND|TREND1|MEX|BIOMAT|BLOOD2 (HIERARCHY)
Has the test person vomited between the first and second blood sample? (LABEL)
integer (DATA_TYPE)
0=no|1=yes (VALUE_LABELS)
missing_table_69 (MISSING_LIST_TABLE)
t1.blood2 (STUDY_SEGMENT)
25.0 (VARIABLE_ORDER)
Hat der Proband zwischen erster und zweiter Blutabnahme erbrochen? (LABEL_DE)
0=nein|1=ja (VALUE_LABELS_DE)
T_BLOOD2 (TABLE_NAME)
t1.ogtt_erb (UNIQUE_NAME)
TREND (SOURCE)
SHIPTrend-1 (DCE)
TREND|TREND1|MEX|BIOMAT|BLOOD2 (HIERARCHY)
CL Item
Ja (1)
CL Item
Nein (0)
ogtt_fall
Item
Scan der KIS-Fallnummer
float
ogtt_fall (VAR_NAMES)
OGTT: scan of case number in KIS (LABEL)
float (DATA_TYPE)
missing_table_69 (MISSING_LIST_TABLE)
t1.blood2 (STUDY_SEGMENT)
30.0 (VARIABLE_ORDER)
Scan der KIS-Fallnummer (LABEL_DE)
T_BLOOD2 (TABLE_NAME)
t1.ogtt_fall (UNIQUE_NAME)
TREND (SOURCE)
SHIPTrend-1 (DCE)
TREND|TREND1|MEX|BIOMAT|BLOOD2 (HIERARCHY)
OGTT: scan of case number in KIS (LABEL)
float (DATA_TYPE)
missing_table_69 (MISSING_LIST_TABLE)
t1.blood2 (STUDY_SEGMENT)
30.0 (VARIABLE_ORDER)
Scan der KIS-Fallnummer (LABEL_DE)
T_BLOOD2 (TABLE_NAME)
t1.ogtt_fall (UNIQUE_NAME)
TREND (SOURCE)
SHIPTrend-1 (DCE)
TREND|TREND1|MEX|BIOMAT|BLOOD2 (HIERARCHY)
ogtt_tube
Item
Scan des EDTA-Röhrchens
float
ogtt_tube (VAR_NAMES)
OGTT: scan of EDTA tube for 2 h OGTT blood sample (LABEL)
float (DATA_TYPE)
missing_table_69 (MISSING_LIST_TABLE)
t1.blood2 (STUDY_SEGMENT)
40.0 (VARIABLE_ORDER)
Scan des EDTA-Röhrchens (LABEL_DE)
T_BLOOD2 (TABLE_NAME)
t1.ogtt_tube (UNIQUE_NAME)
TREND (SOURCE)
SHIPTrend-1 (DCE)
TREND|TREND1|MEX|BIOMAT|BLOOD2 (HIERARCHY)
OGTT: scan of EDTA tube for 2 h OGTT blood sample (LABEL)
float (DATA_TYPE)
missing_table_69 (MISSING_LIST_TABLE)
t1.blood2 (STUDY_SEGMENT)
40.0 (VARIABLE_ORDER)
Scan des EDTA-Röhrchens (LABEL_DE)
T_BLOOD2 (TABLE_NAME)
t1.ogtt_tube (UNIQUE_NAME)
TREND (SOURCE)
SHIPTrend-1 (DCE)
TREND|TREND1|MEX|BIOMAT|BLOOD2 (HIERARCHY)
Item
Wurde Blut entnommen?
integer
ogtt_lab2 (VAR_NAMES)
OGTT: Was blood taken? (LABEL)
integer (DATA_TYPE)
0=no|1=yes (VALUE_LABELS)
missing_table_69 (MISSING_LIST_TABLE)
t1.blood2 (STUDY_SEGMENT)
50.0 (VARIABLE_ORDER)
Wurde Blut entnommen? (LABEL_DE)
0=nein|1=ja (VALUE_LABELS_DE)
T_BLOOD2 (TABLE_NAME)
t1.ogtt_lab2 (UNIQUE_NAME)
TREND (SOURCE)
SHIPTrend-1 (DCE)
TREND|TREND1|MEX|BIOMAT|BLOOD2 (HIERARCHY)
OGTT: Was blood taken? (LABEL)
integer (DATA_TYPE)
0=no|1=yes (VALUE_LABELS)
missing_table_69 (MISSING_LIST_TABLE)
t1.blood2 (STUDY_SEGMENT)
50.0 (VARIABLE_ORDER)
Wurde Blut entnommen? (LABEL_DE)
0=nein|1=ja (VALUE_LABELS_DE)
T_BLOOD2 (TABLE_NAME)
t1.ogtt_lab2 (UNIQUE_NAME)
TREND (SOURCE)
SHIPTrend-1 (DCE)
TREND|TREND1|MEX|BIOMAT|BLOOD2 (HIERARCHY)
CL Item
Ja (1)
CL Item
Nein (0)
ogtt_lab2_gr
Item
Grund für keine Blutabnahme
string
ogtt_lab2_gr (VAR_NAMES)
OGTT: reason for missing blood sample (LABEL)
string (DATA_TYPE)
missing_table_69 (MISSING_LIST_TABLE)
t1.blood2 (STUDY_SEGMENT)
60.0 (VARIABLE_ORDER)
Grund für keine Blutabnahme (LABEL_DE)
T_BLOOD2 (TABLE_NAME)
t1.ogtt_lab2_gr (UNIQUE_NAME)
TREND (SOURCE)
SHIPTrend-1 (DCE)
TREND|TREND1|MEX|BIOMAT|BLOOD2 (HIERARCHY)
OGTT: reason for missing blood sample (LABEL)
string (DATA_TYPE)
missing_table_69 (MISSING_LIST_TABLE)
t1.blood2 (STUDY_SEGMENT)
60.0 (VARIABLE_ORDER)
Grund für keine Blutabnahme (LABEL_DE)
T_BLOOD2 (TABLE_NAME)
t1.ogtt_lab2_gr (UNIQUE_NAME)
TREND (SOURCE)
SHIPTrend-1 (DCE)
TREND|TREND1|MEX|BIOMAT|BLOOD2 (HIERARCHY)
ogtt_lab2_zeit
Item
OGTT
datetime
ogtt_lab2_zeit (VAR_NAMES)
OGTT: time (LABEL)
datetime (DATA_TYPE)
missing_table_69 (MISSING_LIST_TABLE)
t1.blood2 (STUDY_SEGMENT)
70.0 (VARIABLE_ORDER)
OGTT (LABEL_DE)
T_BLOOD2 (TABLE_NAME)
t1.ogtt_lab2_zeit (UNIQUE_NAME)
TREND (SOURCE)
SHIPTrend-1 (DCE)
TREND|TREND1|MEX|BIOMAT|BLOOD2 (HIERARCHY)
OGTT: time (LABEL)
datetime (DATA_TYPE)
missing_table_69 (MISSING_LIST_TABLE)
t1.blood2 (STUDY_SEGMENT)
70.0 (VARIABLE_ORDER)
OGTT (LABEL_DE)
T_BLOOD2 (TABLE_NAME)
t1.ogtt_lab2_zeit (UNIQUE_NAME)
TREND (SOURCE)
SHIPTrend-1 (DCE)
TREND|TREND1|MEX|BIOMAT|BLOOD2 (HIERARCHY)
Item
Füllmenge des EDTA-Röhrchen
integer
ogtt_edta (VAR_NAMES)
OGTT: EDTA tube fill quantity (LABEL)
integer (DATA_TYPE)
0=partially filled|1=full (VALUE_LABELS)
missing_table_69 (MISSING_LIST_TABLE)
t1.blood2 (STUDY_SEGMENT)
80.0 (VARIABLE_ORDER)
Füllmenge des EDTA-Röhrchen (LABEL_DE)
0=teilweise gefüllt|1=voll (VALUE_LABELS_DE)
T_BLOOD2 (TABLE_NAME)
t1.ogtt_edta (UNIQUE_NAME)
TREND (SOURCE)
SHIPTrend-1 (DCE)
TREND|TREND1|MEX|BIOMAT|BLOOD2 (HIERARCHY)
OGTT: EDTA tube fill quantity (LABEL)
integer (DATA_TYPE)
0=partially filled|1=full (VALUE_LABELS)
missing_table_69 (MISSING_LIST_TABLE)
t1.blood2 (STUDY_SEGMENT)
80.0 (VARIABLE_ORDER)
Füllmenge des EDTA-Röhrchen (LABEL_DE)
0=teilweise gefüllt|1=voll (VALUE_LABELS_DE)
T_BLOOD2 (TABLE_NAME)
t1.ogtt_edta (UNIQUE_NAME)
TREND (SOURCE)
SHIPTrend-1 (DCE)
TREND|TREND1|MEX|BIOMAT|BLOOD2 (HIERARCHY)
CL Item
teilweise gefüllt (0)
CL Item
voll (1)
Item
Füllmenge des RNA-Röhrchens
integer
ogtt_rna2 (VAR_NAMES)
OGTT: RNA tube fill quantity (LABEL)
integer (DATA_TYPE)
0=no sampling|1=partially filled|2=full (VALUE_LABELS)
missing_table_69 (MISSING_LIST_TABLE)
t1.blood2 (STUDY_SEGMENT)
90.0 (VARIABLE_ORDER)
Füllmenge des RNA-Röhrchens (LABEL_DE)
0=nicht abgenommen|1=teilweise gefüllt|2=voll (VALUE_LABELS_DE)
T_BLOOD2 (TABLE_NAME)
t1.ogtt_rna2 (UNIQUE_NAME)
TREND (SOURCE)
SHIPTrend-1 (DCE)
TREND|TREND1|MEX|BIOMAT|BLOOD2 (HIERARCHY)
OGTT: RNA tube fill quantity (LABEL)
integer (DATA_TYPE)
0=no sampling|1=partially filled|2=full (VALUE_LABELS)
missing_table_69 (MISSING_LIST_TABLE)
t1.blood2 (STUDY_SEGMENT)
90.0 (VARIABLE_ORDER)
Füllmenge des RNA-Röhrchens (LABEL_DE)
0=nicht abgenommen|1=teilweise gefüllt|2=voll (VALUE_LABELS_DE)
T_BLOOD2 (TABLE_NAME)
t1.ogtt_rna2 (UNIQUE_NAME)
TREND (SOURCE)
SHIPTrend-1 (DCE)
TREND|TREND1|MEX|BIOMAT|BLOOD2 (HIERARCHY)
CL Item
nicht abgenommen (0)
CL Item
teilweise gefüllt (1)
CL Item
voll (2)
Item
Besonderheiten
integer
ogtt_bsnr (VAR_NAMES)
OGTT: notes (LABEL)
integer (DATA_TYPE)
0=without serious incidents|1=serious incidents|9=refusal (VALUE_LABELS)
missing_table_69 (MISSING_LIST_TABLE)
t1.blood2 (STUDY_SEGMENT)
190.0 (VARIABLE_ORDER)
Besonderheiten (LABEL_DE)
0=ohne besondere Vorkommnisse|1=besonderes Vorkommnis|9=Verweigerung (VALUE_LABELS_DE)
T_BLOOD2 (TABLE_NAME)
t1.ogtt_bsnr (UNIQUE_NAME)
TREND (SOURCE)
SHIPTrend-1 (DCE)
TREND|TREND1|MEX|BIOMAT|BLOOD2 (HIERARCHY)
OGTT: notes (LABEL)
integer (DATA_TYPE)
0=without serious incidents|1=serious incidents|9=refusal (VALUE_LABELS)
missing_table_69 (MISSING_LIST_TABLE)
t1.blood2 (STUDY_SEGMENT)
190.0 (VARIABLE_ORDER)
Besonderheiten (LABEL_DE)
0=ohne besondere Vorkommnisse|1=besonderes Vorkommnis|9=Verweigerung (VALUE_LABELS_DE)
T_BLOOD2 (TABLE_NAME)
t1.ogtt_bsnr (UNIQUE_NAME)
TREND (SOURCE)
SHIPTrend-1 (DCE)
TREND|TREND1|MEX|BIOMAT|BLOOD2 (HIERARCHY)
CL Item
ohne besondere Vorkommnisse (0)
CL Item
besonderes Vorkommnis (1)
CL Item
Verweigerung (9)
ogtt_note
Item
Welche?
string
ogtt_note (VAR_NAMES)
OGTT: note details (LABEL)
string (DATA_TYPE)
missing_table_69 (MISSING_LIST_TABLE)
t1.blood2 (STUDY_SEGMENT)
200.0 (VARIABLE_ORDER)
Welche? (LABEL_DE)
T_BLOOD2 (TABLE_NAME)
t1.ogtt_note (UNIQUE_NAME)
TREND (SOURCE)
SHIPTrend-1 (DCE)
TREND|TREND1|MEX|BIOMAT|BLOOD2 (HIERARCHY)
OGTT: note details (LABEL)
string (DATA_TYPE)
missing_table_69 (MISSING_LIST_TABLE)
t1.blood2 (STUDY_SEGMENT)
200.0 (VARIABLE_ORDER)
Welche? (LABEL_DE)
T_BLOOD2 (TABLE_NAME)
t1.ogtt_note (UNIQUE_NAME)
TREND (SOURCE)
SHIPTrend-1 (DCE)
TREND|TREND1|MEX|BIOMAT|BLOOD2 (HIERARCHY)
ogtt_blood2_end
Item
Ende
datetime
ogtt_blood2_end (VAR_NAMES)
End (LABEL)
datetime (DATA_TYPE)
missing_table_69 (MISSING_LIST_TABLE)
t1.blood2 (STUDY_SEGMENT)
300.0 (VARIABLE_ORDER)
Ende (LABEL_DE)
T_BLOOD2 (TABLE_NAME)
t1.ogtt_blood2_end (UNIQUE_NAME)
TREND (SOURCE)
SHIPTrend-1 (DCE)
TREND|TREND1|MEX|BIOMAT|BLOOD2 (HIERARCHY)
End (LABEL)
datetime (DATA_TYPE)
missing_table_69 (MISSING_LIST_TABLE)
t1.blood2 (STUDY_SEGMENT)
300.0 (VARIABLE_ORDER)
Ende (LABEL_DE)
T_BLOOD2 (TABLE_NAME)
t1.ogtt_blood2_end (UNIQUE_NAME)
TREND (SOURCE)
SHIPTrend-1 (DCE)
TREND|TREND1|MEX|BIOMAT|BLOOD2 (HIERARCHY)