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Predicting respiratory distress syndrome using gestational age and lamellar body count.

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Title: Predicting respiratory distress syndrome using gestational age and lamellar body count.
Authors: Zhao Q; Department of Obstetrics and Gynecology, Division of Clinical Research, Washington University School of Medicine, USA., Zhao Z, Leung-Pineda V, Wiley CL, Nelson PJ, Grenache DG, Apple FS, Saenger AK, Gronowski AM
Source: Clinical biochemistry [Clin Biochem] 2013 Sep; Vol. 46 (13-14), pp. 1228-32. Date of Electronic Publication: 2013 Apr 06.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Science Country of Publication: United States NLM ID: 0133660 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-2933 (Electronic) Linking ISSN: 00099120 NLM ISO Abbreviation: Clin Biochem Subsets: MEDLINE
Database: MEDLINE Ultimate
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Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 23570861
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Predicting respiratory distress syndrome using gestational age and lamellar body count.
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  Data: <searchLink fieldCode="AU" term="%22Zhao+Q%22">Zhao Q</searchLink>; Department of Obstetrics and Gynecology, Division of Clinical Research, Washington University School of Medicine, USA.<br /><searchLink fieldCode="AU" term="%22Zhao+Z%22">Zhao Z</searchLink><br /><searchLink fieldCode="AU" term="%22Leung-Pineda+V%22">Leung-Pineda V</searchLink><br /><searchLink fieldCode="AU" term="%22Wiley+CL%22">Wiley CL</searchLink><br /><searchLink fieldCode="AU" term="%22Nelson+PJ%22">Nelson PJ</searchLink><br /><searchLink fieldCode="AU" term="%22Grenache+DG%22">Grenache DG</searchLink><br /><searchLink fieldCode="AU" term="%22Apple+FS%22">Apple FS</searchLink><br /><searchLink fieldCode="AU" term="%22Saenger+AK%22">Saenger AK</searchLink><br /><searchLink fieldCode="AU" term="%22Gronowski+AM%22">Gronowski AM</searchLink>
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  Data: <searchLink fieldCode="JN" term="%220133660%22">Clinical biochemistry</searchLink> [Clin Biochem] 2013 Sep; Vol. 46 (13-14), pp. 1228-32. <i>Date of Electronic Publication: </i>2013 Apr 06.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier+Science%22">Elsevier Science </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>0133660 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1873-2933 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2200099120%22">00099120 </searchLink><i>NLM ISO Abbreviation: </i>Clin Biochem <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=23570861
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.clinbiochem.2013.03.020
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      – Code: eng
        Text: English
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        StartPage: 1228
    Titles:
      – TitleFull: Predicting respiratory distress syndrome using gestational age and lamellar body count.
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          Name:
            NameFull: Zhao Q
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          Name:
            NameFull: Zhao Z
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            NameFull: Leung-Pineda V
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            NameFull: Wiley CL
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            NameFull: Nelson PJ
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            NameFull: Grenache DG
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            NameFull: Apple FS
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            NameFull: Saenger AK
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            NameFull: Gronowski AM
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          Dates:
            – D: 01
              M: 09
              Text: 2013 Sep
              Type: published
              Y: 2013
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            – Type: issn-electronic
              Value: 1873-2933
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              Value: 46
            – Type: issue
              Value: 13-14
          Titles:
            – TitleFull: Clinical biochemistry
              Type: main
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