CD62P and P10 as predictive markers for assessing the efficacy of hemodialysis in treating end-stage renal disease.

Saved in:
Bibliographic Details
Title: CD62P and P10 as predictive markers for assessing the efficacy of hemodialysis in treating end-stage renal disease.
Authors: Yu JR; Department of Nephrology, Zhongda Hospital Southeast University, Nanjing, China., Wang FM; Department of Nephrology, Zhongda Hospital Southeast University, Nanjing, China., Xu SC; Department of Nephrology, Zhongda Hospital Southeast University, Nanjing, China., Gao M; Department of Nephrology, Zhongda Hospital Southeast University, Nanjing, China.
Source: Journal of clinical laboratory analysis [J Clin Lab Anal] 2019 Feb; Vol. 33 (2), pp. e22662. Date of Electronic Publication: 2018 Oct 15.
Publication Type: Journal Article
Journal Info: Publisher: Wiley Country of Publication: United States NLM ID: 8801384 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1098-2825 (Electronic) Linking ISSN: 08878013 NLM ISO Abbreviation: J Clin Lab Anal Subsets: 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: 30320415
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: CD62P and P10 as predictive markers for assessing the efficacy of hemodialysis in treating end-stage renal disease.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Yu+JR%22">Yu JR</searchLink>; Department of Nephrology, Zhongda Hospital Southeast University, Nanjing, China.<br /><searchLink fieldCode="AU" term="%22Wang+FM%22">Wang FM</searchLink>; Department of Nephrology, Zhongda Hospital Southeast University, Nanjing, China.<br /><searchLink fieldCode="AU" term="%22Xu+SC%22">Xu SC</searchLink>; Department of Nephrology, Zhongda Hospital Southeast University, Nanjing, China.<br /><searchLink fieldCode="AU" term="%22Gao+M%22">Gao M</searchLink>; Department of Nephrology, Zhongda Hospital Southeast University, Nanjing, China.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%228801384%22">Journal of clinical laboratory analysis</searchLink> [J Clin Lab Anal] 2019 Feb; Vol. 33 (2), pp. e22662. <i>Date of Electronic Publication: </i>2018 Oct 15.
– 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>8801384 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1098-2825 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2208878013%22">08878013 </searchLink><i>NLM ISO Abbreviation: </i>J Clin Lab Anal <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=30320415
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1002/jcla.22662
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: e22662
    Titles:
      – TitleFull: CD62P and P10 as predictive markers for assessing the efficacy of hemodialysis in treating end-stage renal disease.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Yu JR
      – PersonEntity:
          Name:
            NameFull: Wang FM
      – PersonEntity:
          Name:
            NameFull: Xu SC
      – PersonEntity:
          Name:
            NameFull: Gao M
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 02
              Text: 2019 Feb
              Type: published
              Y: 2019
          Identifiers:
            – Type: issn-electronic
              Value: 1098-2825
          Numbering:
            – Type: volume
              Value: 33
            – Type: issue
              Value: 2
          Titles:
            – TitleFull: Journal of clinical laboratory analysis
              Type: main
ResultId 1