0 Evaluaciones

ID

17241

Descripción

Obesity and Asthma:a Specific Phenotype; ODM derived from: https://clinicaltrials.gov/show/NCT00532363

Link

https://clinicaltrials.gov/show/NCT00532363

Palabras clave

  1. 1/9/16 1/9/16 -
Subido en

1 de septiembre de 2016

DOI

Para solicitar uno, por favor iniciar sesión.

Licencia

Creative Commons BY 4.0

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.

    Eligibility Obesity NCT00532363

    Eligibility Obesity NCT00532363

    1. StudyEvent: Eligibility
      1. Eligibility Obesity NCT00532363
    Inclusion Criteria
    Descripción

    Inclusion Criteria

    Alias
    UMLS CUI
    C1512693 (Inclusion)
    will be women aged 18 years and over
    Descripción

    Gender, Age

    Tipo de datos

    boolean

    Alias
    UMLS CUI [1]
    C0079399 (Gender)
    SNOMED
    263495000
    LOINC
    LP61312-2
    UMLS CUI [2]
    C0001779 (Age)
    SNOMED
    424144002
    LOINC
    LP28815-6
    will be in good health apart from asthma or obesity as determined by history and physical examination (no other condition that could influence the proposed tests).
    Descripción

    Good health as determined by history and physical examination

    Tipo de datos

    boolean

    Alias
    UMLS CUI [1]
    C0018759 (Health Status)
    SNOMED
    406221003
    UMLS CUI [2]
    C0031809 (Physical Examination)
    SNOMED
    5880005
    LOINC
    MTHU028014
    all will be non smokers or ex-smokers for more than six months with a smoking history of no more than 10 pack- years (i.e., one pack per day or its equivalent for 10 years.)
    Descripción

    non smokers or ex-smokers for more than six months

    Tipo de datos

    boolean

    Alias
    UMLS CUI [1]
    C0543414 (Tobacco use)
    subjects will have a physician's made diagnosis of severe asthma and treated with corticosteroids.
    Descripción

    severe asthma treated with corticosteroids

    Tipo de datos

    boolean

    Alias
    UMLS CUI [1]
    C0581126 (Severe asthma)
    SNOMED
    370221004
    UMLS CUI [2]
    C0001617 (Adrenal Cortex Hormones)
    SNOMED
    21568003
    LOINC
    LP20687-7
    Exclusion Criteria
    Descripción

    Exclusion Criteria

    Alias
    UMLS CUI
    C0680251 (Exclusion Criteria)
    subjects who are, in the opinion of the investigator, mentally or legally incapacitated thus preventing informed consent from being obtained.
    Descripción

    Informed consent

    Tipo de datos

    boolean

    Alias
    UMLS CUI [1,1]
    C0021430 (Informed Consent)
    UMLS CUI [1,2]
    C0439801 (Limited (extensiveness))
    SNOMED
    255469002
    LOINC
    LP34047-8
    UMLS CUI [1,3]
    C0009488 (Comorbidity)
    subjects having a co-existing illness that precludes them from the trial.
    Descripción

    Comorbidity

    Tipo de datos

    boolean

    Alias
    UMLS CUI [1,1]
    C1321605 (Compliance behavior)
    SNOMED
    405078008
    UMLS CUI [1,2]
    C0439801 (Limited (extensiveness))
    SNOMED
    255469002
    LOINC
    LP34047-8
    UMLS CUI [1,3]
    C0009488 (Comorbidity)
    pregnancy or lactation
    Descripción

    Pregnancy or lactation

    Tipo de datos

    boolean

    Alias
    UMLS CUI [1]
    C0032961 (Pregnancy)
    SNOMED
    289908002
    LOINC
    LP75920-6
    UMLS CUI [2]
    C0006147 (Breast Feeding)
    SNOMED
    169741004
    LOINC
    LP420040-0
    contraindication to the prednisone treatment.
    Descripción

    Contraindication to prednisone treatment

    Tipo de datos

    boolean

    Alias
    UMLS CUI [1,1]
    C1301624 (Medical contraindication)
    SNOMED
    397745006
    LOINC
    LA27164-5
    UMLS CUI [1,2]
    C0032952 (prednisone)
    SNOMED
    10312003

    Similar models

    Eligibility Obesity NCT00532363

    1. StudyEvent: Eligibility
      1. Eligibility Obesity NCT00532363
    Name
    Tipo
    Description | Question | Decode (Coded Value)
    Tipo de datos
    Alias
    Item Group
    C1512693 (UMLS CUI)
    Gender, Age
    Item
    will be women aged 18 years and over
    boolean
    C0079399 (UMLS CUI [1])
    C0001779 (UMLS CUI [2])
    Good health as determined by history and physical examination
    Item
    will be in good health apart from asthma or obesity as determined by history and physical examination (no other condition that could influence the proposed tests).
    boolean
    C0018759 (UMLS CUI [1])
    C0031809 (UMLS CUI [2])
    non smokers or ex-smokers for more than six months
    Item
    all will be non smokers or ex-smokers for more than six months with a smoking history of no more than 10 pack- years (i.e., one pack per day or its equivalent for 10 years.)
    boolean
    C0543414 (UMLS CUI [1])
    severe asthma treated with corticosteroids
    Item
    subjects will have a physician's made diagnosis of severe asthma and treated with corticosteroids.
    boolean
    C0581126 (UMLS CUI [1])
    C0001617 (UMLS CUI [2])
    Item Group
    C0680251 (UMLS CUI)
    Informed consent
    Item
    subjects who are, in the opinion of the investigator, mentally or legally incapacitated thus preventing informed consent from being obtained.
    boolean
    C0021430 (UMLS CUI [1,1])
    C0439801 (UMLS CUI [1,2])
    C0009488 (UMLS CUI [1,3])
    Comorbidity
    Item
    subjects having a co-existing illness that precludes them from the trial.
    boolean
    C1321605 (UMLS CUI [1,1])
    C0439801 (UMLS CUI [1,2])
    C0009488 (UMLS CUI [1,3])
    Pregnancy or lactation
    Item
    pregnancy or lactation
    boolean
    C0032961 (UMLS CUI [1])
    C0006147 (UMLS CUI [2])
    Contraindication to prednisone treatment
    Item
    contraindication to the prednisone treatment.
    boolean
    C1301624 (UMLS CUI [1,1])
    C0032952 (UMLS CUI [1,2])

    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