0 Evaluaciones

ID

26528

Descripción

Study ID: 100690 Clinical Study ID: NKP100690 Study Title: A randomised, double blind triple dummy, placebo controlled balanced incomplete block crossover study to evaluate the change in response to a 7% CO2 challenge and pharmacokinetics of single oral doses of GW597599 and paroxetine (5 or 7.5 mg) either alone or in combination, or alprazolam (0.75 mg) in healthy volunteers Patient Level Data: Study Listed on ClinicalStudyDataRequest.com Clinicaltrials.gov Identifier: Sponsor: GlaxoSmithKline Collaborators: N/A Phase: phase 1 Study Recruitment Status: Completed Generic Name: paroxetine Trade Name: Tagonis,Seroxat,Paxil,Paroxat,Deroxat,Aropax Study Indication: Depressive Disorder and Anxiety Disorders CRF Seiten: 255-365

Palabras clave

  1. 18/10/17 18/10/17 -
Titular de derechos de autor

GSK

Subido en

18 de octubre de 2017

DOI

Para solicitar uno, por favor iniciar sesión.

Licencia

Creative Commons BY-NC 3.0

Comentarios del modelo :

Puede comentar sobre el modelo de datos aquí. A través de las burbujas de diálogo en los grupos de elementos y elementos, puede agregar comentarios específicos.

Comentarios de grupo de elementos para :

Comentarios del elemento para :


    Sin comentarios

    Para descargar modelos de datos, debe haber iniciado sesión. Por favor iniciar sesión o Registrate gratis.

    7% CO2, GW597599, paroxetine andor alprazolam in healthy volunteers 100690

    Screening +10 min challenge 1

    Administrative Documentation
    Descripción

    Administrative Documentation

    Alias
    UMLS CUI-1
    C1320722 (Administrative documentation)
    SNOMED
    405624007
    Subject number
    Descripción

    Subject number

    Tipo de datos

    text

    Alias
    UMLS CUI [1]
    C2348585 (Clinical Trial Subject Unique Identifier)
    Visit Date & Time
    Descripción

    Visit Date Time

    Tipo de datos

    datetime

    Alias
    UMLS CUI [1,1]
    C1320303 (Date of visit)
    SNOMED
    406543005
    UMLS CUI [1,2]
    C1320304 (Time of visit)
    SNOMED
    406544004
    Surveys and Questionnaires
    Descripción

    Surveys and Questionnaires

    Alias
    UMLS CUI-1
    C4042892 (Surveys and Questionnaires)
    VAS-A Visual Analog Scale for Anxiety
    Descripción

    VAS-A Visual Analog Scale for Anxiety

    Alias
    UMLS CUI-1
    C3536884 (Visual Analog Scale)
    SNOMED
    273903006
    UMLS CUI-2
    C0003467 (Anxiety)
    SNOMED
    48694002
    LOINC
    MTHU013060
    What is your degree of anxiety?
    Descripción

    Anxiety score

    Tipo de datos

    text

    Alias
    UMLS CUI [1]
    C3483978 (Anxiety score)
    LOINC
    LP150148-7
    Visual Analog Scale for Anxiety
    Descripción

    Visual Analog Scale for Anxiety

    Alias
    UMLS CUI-1
    C3536884 (Visual Analog Scale)
    SNOMED
    273903006
    UMLS CUI-2
    C0003467 (Anxiety)
    SNOMED
    48694002
    LOINC
    MTHU013060
    Anxiety score
    Descripción

    Anxiety score

    Tipo de datos

    float

    Alias
    UMLS CUI [1]
    C3483978 (Anxiety score)
    LOINC
    LP150148-7

    Similar models

    Screening +10 min challenge 1

    Name
    Tipo
    Description | Question | Decode (Coded Value)
    Tipo de datos
    Alias
    Item Group
    Administrative Documentation
    C1320722 (UMLS CUI-1)
    Subject number
    Item
    Subject number
    text
    C2348585 (UMLS CUI [1])
    Visit Date Time
    Item
    Visit Date & Time
    datetime
    C1320303 (UMLS CUI [1,1])
    C1320304 (UMLS CUI [1,2])
    Item Group
    Surveys and Questionnaires
    C4042892 (UMLS CUI-1)
    Item Group
    VAS-A Visual Analog Scale for Anxiety
    C3536884 (UMLS CUI-1)
    C0003467 (UMLS CUI-2)
    Anxiety score
    Item
    What is your degree of anxiety?
    text
    C3483978 (UMLS CUI [1])
    Item Group
    C3536884 (UMLS CUI-1)
    C0003467 (UMLS CUI-2)
    Anxiety score
    Item
    float
    C3483978 (UMLS CUI [1])

    Do you need help on how to use the search function? Please watch the corresponding tutorial video for more details and learn how to use the search function most efficiently.

    Watch Tutorial