View in EDS

Development and validation of a risk prediction model for early-onset hypoglycemia in preterm infants.

Saved in:
Bibliographic Details
Title: Development and validation of a risk prediction model for early-onset hypoglycemia in preterm infants.
Authors: Li R; Department of Neonatology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China., He C; Department of Neonatology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China., Luo M; Department of Neonatology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China., Situ M; Department of Neonatology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China., Li Z; Department of Paediatrics, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, China., Xie Q; Department of Neonatology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Source: The journal of maternal-fetal & neonatal medicine : the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians [J Matern Fetal Neonatal Med] 2026 Dec; Vol. 39 (1), pp. 2620827. Date of Electronic Publication: 2026 Jan 29.
Publication Type: Journal Article; Validation Study
Journal Info: Publisher: Informa Healthcare Country of Publication: England NLM ID: 101136916 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1476-4954 (Electronic) Linking ISSN: 14764954 NLM ISO Abbreviation: J Matern Fetal Neonatal Med Subsets: MEDLINE
Database: MEDLINE Ultimate
FullText Text:
  Availability: 0
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 41611524
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Development and validation of a risk prediction model for early-onset hypoglycemia in preterm infants.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Li+R%22">Li R</searchLink>; Department of Neonatology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.<br /><searchLink fieldCode="AU" term="%22He+C%22">He C</searchLink>; Department of Neonatology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.<br /><searchLink fieldCode="AU" term="%22Luo+M%22">Luo M</searchLink>; Department of Neonatology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.<br /><searchLink fieldCode="AU" term="%22Situ+M%22">Situ M</searchLink>; Department of Neonatology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.<br /><searchLink fieldCode="AU" term="%22Li+Z%22">Li Z</searchLink>; Department of Paediatrics, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, China.<br /><searchLink fieldCode="AU" term="%22Xie+Q%22">Xie Q</searchLink>; Department of Neonatology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22101136916%22">The journal of maternal-fetal & neonatal medicine : the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians</searchLink> [J Matern Fetal Neonatal Med] 2026 Dec; Vol. 39 (1), pp. 2620827. <i>Date of Electronic Publication: </i>2026 Jan 29.
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article; Validation Study
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Informa+Healthcare%22">Informa Healthcare </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101136916 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1476-4954 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2214764954%22">14764954 </searchLink><i>NLM ISO Abbreviation: </i>J Matern Fetal Neonatal Med <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41611524
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1080/14767058.2026.2620827
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 2620827
    Titles:
      – TitleFull: Development and validation of a risk prediction model for early-onset hypoglycemia in preterm infants.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Li R
      – PersonEntity:
          Name:
            NameFull: He C
      – PersonEntity:
          Name:
            NameFull: Luo M
      – PersonEntity:
          Name:
            NameFull: Situ M
      – PersonEntity:
          Name:
            NameFull: Li Z
      – PersonEntity:
          Name:
            NameFull: Xie Q
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 12
              Text: 2026 Dec
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-electronic
              Value: 1476-4954
          Numbering:
            – Type: volume
              Value: 39
            – Type: issue
              Value: 1
          Titles:
            – TitleFull: The journal of maternal-fetal & neonatal medicine : the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians
              Type: main
ResultId 1