View in EDS HTML Full Text PDF Full Text

Development of a Novel Algorithm to Identify People with High Likelihood of Adult Growth Hormone Deficiency in a US Healthcare Claims Database.

Saved in:
Bibliographic Details
Title: Development of a Novel Algorithm to Identify People with High Likelihood of Adult Growth Hormone Deficiency in a US Healthcare Claims Database.
Authors: Yuen KCJ; Barrow Pituitary Center, Barrow Neurological Institute and St. Joseph's Hospital and Medical Center, University of Arizona College of Medicine and Creighton School of Medicine, Phoenix, AZ, USA., Birkegard AC; Novo Nordisk A/S, Søborg, Denmark., Blevins LS; Department of Neurosurgery, University of California, San Francisco, CA, USA., Clemmons DR; Department of Medicine, University of North Carolina School of Medicine, Chapel Hill, NC, USA., Hoffman AR; Department of Medicine, Stanford University, Stanford, CA, USA., Kelepouris N; Novo Nordisk Inc., Plainsboro, NJ, USA., Kerr JM; Department of Endocrinology, University of Colorado Health Sciences Center, University of Colorado Denver, Anschutz Medical Campus, Aurora, CO, USA., Tarp JM; Novo Nordisk A/S, Søborg, Denmark., Fleseriu M; Pituitary Center, Departments of Medicine and Neurological Surgery, Oregon Health and Science University, Portland, OR, USA.
Source: International journal of endocrinology [Int J Endocrinol] 2022 Jun 18; Vol. 2022, pp. 7853786. Date of Electronic Publication: 2022 Jun 18 (Print Publication: 2022).
Publication Type: Journal Article
Journal Info: Publisher: Wiley Country of Publication: United States NLM ID: 101516376 Publication Model: eCollection Cited Medium: Print ISSN: 1687-8337 (Print) Linking ISSN: 16878337 NLM ISO Abbreviation: Int J Endocrinol Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 35761982
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Development of a Novel Algorithm to Identify People with High Likelihood of Adult Growth Hormone Deficiency in a US Healthcare Claims Database.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Yuen+KCJ%22">Yuen KCJ</searchLink>; Barrow Pituitary Center, Barrow Neurological Institute and St. Joseph's Hospital and Medical Center, University of Arizona College of Medicine and Creighton School of Medicine, Phoenix, AZ, USA.<br /><searchLink fieldCode="AU" term="%22Birkegard+AC%22">Birkegard AC</searchLink>; Novo Nordisk A/S, Søborg, Denmark.<br /><searchLink fieldCode="AU" term="%22Blevins+LS%22">Blevins LS</searchLink>; Department of Neurosurgery, University of California, San Francisco, CA, USA.<br /><searchLink fieldCode="AU" term="%22Clemmons+DR%22">Clemmons DR</searchLink>; Department of Medicine, University of North Carolina School of Medicine, Chapel Hill, NC, USA.<br /><searchLink fieldCode="AU" term="%22Hoffman+AR%22">Hoffman AR</searchLink>; Department of Medicine, Stanford University, Stanford, CA, USA.<br /><searchLink fieldCode="AU" term="%22Kelepouris+N%22">Kelepouris N</searchLink>; Novo Nordisk Inc., Plainsboro, NJ, USA.<br /><searchLink fieldCode="AU" term="%22Kerr+JM%22">Kerr JM</searchLink>; Department of Endocrinology, University of Colorado Health Sciences Center, University of Colorado Denver, Anschutz Medical Campus, Aurora, CO, USA.<br /><searchLink fieldCode="AU" term="%22Tarp+JM%22">Tarp JM</searchLink>; Novo Nordisk A/S, Søborg, Denmark.<br /><searchLink fieldCode="AU" term="%22Fleseriu+M%22">Fleseriu M</searchLink>; Pituitary Center, Departments of Medicine and Neurological Surgery, Oregon Health and Science University, Portland, OR, USA.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22101516376%22">International journal of endocrinology</searchLink> [Int J Endocrinol] 2022 Jun 18; Vol. 2022, pp. 7853786. <i>Date of Electronic Publication: </i>2022 Jun 18 (<i>Print Publication: </i>2022).
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Wiley%22">Wiley </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101516376 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Print <i>ISSN: </i>1687-8337 (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2216878337%22">16878337 </searchLink><i>NLM ISO Abbreviation: </i>Int J Endocrinol <i>Subsets: </i>PubMed not MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=35761982
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1155/2022/7853786
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 7853786
    Titles:
      – TitleFull: Development of a Novel Algorithm to Identify People with High Likelihood of Adult Growth Hormone Deficiency in a US Healthcare Claims Database.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Yuen KCJ
      – PersonEntity:
          Name:
            NameFull: Birkegard AC
      – PersonEntity:
          Name:
            NameFull: Blevins LS
      – PersonEntity:
          Name:
            NameFull: Clemmons DR
      – PersonEntity:
          Name:
            NameFull: Hoffman AR
      – PersonEntity:
          Name:
            NameFull: Kelepouris N
      – PersonEntity:
          Name:
            NameFull: Kerr JM
      – PersonEntity:
          Name:
            NameFull: Tarp JM
      – PersonEntity:
          Name:
            NameFull: Fleseriu M
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 18
              M: 06
              Text: 2022 Jun 18
              Type: published
              Y: 2022
          Identifiers:
            – Type: issn-print
              Value: 1687-8337
          Numbering:
            – Type: volume
              Value: 2022
          Titles:
            – TitleFull: International journal of endocrinology
              Type: main
ResultId 1