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

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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
Description
ISSN:1747-6356
DOI:10.1080/17476348.2023.2174527