Prediction model to identify patients with hypereosinophilic syndrome using real-world data.
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| Title: | Prediction model to identify patients with hypereosinophilic syndrome using real-world data. |
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| Authors: | Khoury P; National Institute of Allergy and Infectious Diseases, Bethesda, Md., Chung Y; AstraZeneca Pharmaceuticals, Wilmington, Del., Carstens D; AstraZeneca Pharmaceuticals, Wilmington, Del., Cook EE; Analysis Group Inc, Boston, Mass., Mu F; Analysis Group Inc, Boston, Mass., Cheng M; Analysis Group Inc, Boston, Mass., Judson E; AstraZeneca Pharmaceuticals, Wilmington, Del., Chen J; Analysis Group Inc, Boston, Mass., Wang T; Analysis Group Inc, Boston, Mass., Chen Z; Analysis Group Inc, Boston, Mass., Ogbogu PU; University Hospitals Rainbow Babies and Children's Hospital, Cleveland, Ohio.; Case Western Reserve University School of Medicine, Cleveland, Ohio. |
| Source: | The journal of allergy and clinical immunology. Global [J Allergy Clin Immunol Glob] 2025 Oct 24; Vol. 5 (1), pp. 100588. Date of Electronic Publication: 2025 Oct 24 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Elsevier Inc Country of Publication: United States NLM ID: 9918453488706676 Publication Model: eCollection Cited Medium: Internet ISSN: 2772-8293 (Electronic) Linking ISSN: 27728293 NLM ISO Abbreviation: J Allergy Clin Immunol Glob Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 41312450 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Prediction model to identify patients with hypereosinophilic syndrome using real-world data. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Khoury+P%22">Khoury P</searchLink>; National Institute of Allergy and Infectious Diseases, Bethesda, Md.<br /><searchLink fieldCode="AU" term="%22Chung+Y%22">Chung Y</searchLink>; AstraZeneca Pharmaceuticals, Wilmington, Del.<br /><searchLink fieldCode="AU" term="%22Carstens+D%22">Carstens D</searchLink>; AstraZeneca Pharmaceuticals, Wilmington, Del.<br /><searchLink fieldCode="AU" term="%22Cook+EE%22">Cook EE</searchLink>; Analysis Group Inc, Boston, Mass.<br /><searchLink fieldCode="AU" term="%22Mu+F%22">Mu F</searchLink>; Analysis Group Inc, Boston, Mass.<br /><searchLink fieldCode="AU" term="%22Cheng+M%22">Cheng M</searchLink>; Analysis Group Inc, Boston, Mass.<br /><searchLink fieldCode="AU" term="%22Judson+E%22">Judson E</searchLink>; AstraZeneca Pharmaceuticals, Wilmington, Del.<br /><searchLink fieldCode="AU" term="%22Chen+J%22">Chen J</searchLink>; Analysis Group Inc, Boston, Mass.<br /><searchLink fieldCode="AU" term="%22Wang+T%22">Wang T</searchLink>; Analysis Group Inc, Boston, Mass.<br /><searchLink fieldCode="AU" term="%22Chen+Z%22">Chen Z</searchLink>; Analysis Group Inc, Boston, Mass.<br /><searchLink fieldCode="AU" term="%22Ogbogu+PU%22">Ogbogu PU</searchLink>; University Hospitals Rainbow Babies and Children's Hospital, Cleveland, Ohio.; Case Western Reserve University School of Medicine, Cleveland, Ohio. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%229918453488706676%22">The journal of allergy and clinical immunology. Global</searchLink> [J Allergy Clin Immunol Glob] 2025 Oct 24; Vol. 5 (1), pp. 100588. <i>Date of Electronic Publication: </i>2025 Oct 24 (<i>Print Publication: </i>2026). – 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="%22Elsevier+Inc%22">Elsevier Inc </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>9918453488706676 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Internet <i>ISSN: </i>2772-8293 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2227728293%22">27728293 </searchLink><i>NLM ISO Abbreviation: </i>J Allergy Clin Immunol Glob <i>Subsets: </i>PubMed not MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41312450 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.jacig.2025.100588 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 100588 Titles: – TitleFull: Prediction model to identify patients with hypereosinophilic syndrome using real-world data. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Khoury P – PersonEntity: Name: NameFull: Chung Y – PersonEntity: Name: NameFull: Carstens D – PersonEntity: Name: NameFull: Cook EE – PersonEntity: Name: NameFull: Mu F – PersonEntity: Name: NameFull: Cheng M – PersonEntity: Name: NameFull: Judson E – PersonEntity: Name: NameFull: Chen J – PersonEntity: Name: NameFull: Wang T – PersonEntity: Name: NameFull: Chen Z – PersonEntity: Name: NameFull: Ogbogu PU IsPartOfRelationships: – BibEntity: Dates: – D: 24 M: 10 Text: 2025 Oct 24 Type: published Y: 2025 Identifiers: – Type: issn-electronic Value: 2772-8293 Numbering: – Type: volume Value: 5 – Type: issue Value: 1 Titles: – TitleFull: The journal of allergy and clinical immunology. Global Type: main |
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