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

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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
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Description
ISSN:1687-8337
DOI:10.1155/2022/7853786