View in EDS

Optimal diagnostic strategies for pleural diseases and identifying high-risk patients.

Saved in:
Bibliographic Details
Title: Optimal diagnostic strategies for pleural diseases and identifying high-risk patients.
Authors: Addala DN; Oxford Respiratory Trials Unit, Nuffield Department of Medicine, Oxford University, Oxford, UK.; Department of Respiratory Medicine, Oxford Pleural Unit, Oxford University Hospitals, Oxford, UK., Denniston P; Oxford Respiratory Trials Unit, Nuffield Department of Medicine, Oxford University, Oxford, UK.; Department of Respiratory Medicine, Oxford Pleural Unit, Oxford University Hospitals, Oxford, UK., Sundaralingam A; Oxford Respiratory Trials Unit, Nuffield Department of Medicine, Oxford University, Oxford, UK.; Department of Respiratory Medicine, Oxford Pleural Unit, Oxford University Hospitals, Oxford, UK., Rahman NM; Oxford Respiratory Trials Unit, Nuffield Department of Medicine, Oxford University, Oxford, UK.; Department of Respiratory Medicine, Oxford Pleural Unit, Oxford University Hospitals, Oxford, UK.; Oxford Biomedical Research Centre, National Institute for Health Research, Oxford, UK.; Chinese Academy of Medical Science Oxford Institute, Nuffield Department of Medicine, Medical Sciences Division, University of Oxford, Oxford, UK.
Source: Expert review of respiratory medicine [Expert Rev Respir Med] 2023 Jan; Vol. 17 (1), pp. 15-26. Date of Electronic Publication: 2023 Feb 16.
Publication Type: Journal Article
Journal Info: Publisher: Taylor & Francis Country of Publication: England NLM ID: 101278196 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1747-6356 (Electronic) Linking ISSN: 17476348 NLM ISO Abbreviation: Expert Rev Respir Med Subsets: MEDLINE
Database: MEDLINE Ultimate
FullText Text:
  Availability: 0
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 36710423
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Optimal diagnostic strategies for pleural diseases and identifying high-risk patients.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Addala+DN%22">Addala DN</searchLink>; Oxford Respiratory Trials Unit, Nuffield Department of Medicine, Oxford University, Oxford, UK.; Department of Respiratory Medicine, Oxford Pleural Unit, Oxford University Hospitals, Oxford, UK.<br /><searchLink fieldCode="AU" term="%22Denniston+P%22">Denniston P</searchLink>; Oxford Respiratory Trials Unit, Nuffield Department of Medicine, Oxford University, Oxford, UK.; Department of Respiratory Medicine, Oxford Pleural Unit, Oxford University Hospitals, Oxford, UK.<br /><searchLink fieldCode="AU" term="%22Sundaralingam+A%22">Sundaralingam A</searchLink>; Oxford Respiratory Trials Unit, Nuffield Department of Medicine, Oxford University, Oxford, UK.; Department of Respiratory Medicine, Oxford Pleural Unit, Oxford University Hospitals, Oxford, UK.<br /><searchLink fieldCode="AU" term="%22Rahman+NM%22">Rahman NM</searchLink>; Oxford Respiratory Trials Unit, Nuffield Department of Medicine, Oxford University, Oxford, UK.; Department of Respiratory Medicine, Oxford Pleural Unit, Oxford University Hospitals, Oxford, UK.; Oxford Biomedical Research Centre, National Institute for Health Research, Oxford, UK.; Chinese Academy of Medical Science Oxford Institute, Nuffield Department of Medicine, Medical Sciences Division, University of Oxford, Oxford, UK.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22101278196%22">Expert review of respiratory medicine</searchLink> [Expert Rev Respir Med] 2023 Jan; Vol. 17 (1), pp. 15-26. <i>Date of Electronic Publication: </i>2023 Feb 16.
– 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="%22Taylor+%26+Francis%22">Taylor & Francis </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101278196 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1747-6356 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2217476348%22">17476348 </searchLink><i>NLM ISO Abbreviation: </i>Expert Rev Respir Med <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=36710423
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1080/17476348.2023.2174527
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 15
    Titles:
      – TitleFull: Optimal diagnostic strategies for pleural diseases and identifying high-risk patients.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Addala DN
      – PersonEntity:
          Name:
            NameFull: Denniston P
      – PersonEntity:
          Name:
            NameFull: Sundaralingam A
      – PersonEntity:
          Name:
            NameFull: Rahman NM
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Text: 2023 Jan
              Type: published
              Y: 2023
          Identifiers:
            – Type: issn-electronic
              Value: 1747-6356
          Numbering:
            – Type: volume
              Value: 17
            – Type: issue
              Value: 1
          Titles:
            – TitleFull: Expert review of respiratory medicine
              Type: main
ResultId 1