Raw Data Library
About
Aims and ScopeAdvisory Board Members
More
Who We Are?
User Guide
Green Science
​
​
EN
Kurumsal BaşvuruSign inGet started
​
​

About
Aims and ScopeAdvisory Board Members
More
Who We Are?
User GuideGreen Science

Language

Kurumsal Başvuru

Sign inGet started
RDL logo

Verified research datasets. Instant access. Built for collaboration.

Navigation

About

Aims and Scope

Advisory Board Members

More

Who We Are?

Contact

Add Raw Data

User Guide

Legal

Privacy Policy

Terms of Service

Support

Got an issue? Email us directly.

Email: info@rawdatalibrary.netOpen Mail App
​
​

© 2026 Raw Data Library. All rights reserved.
PrivacyTermsContact
  1. Raw Data Library
  2. /
  3. Publications
  4. /
  5. Pharmacological treatment of COPD: the devil is always in the detail

Verified authors • Institutional access • DOI aware
50,000+ researchers120,000+ datasets90% satisfaction
Editorial Material
en
2018

Pharmacological treatment of COPD: the devil is always in the detail

0 Datasets

0 Files

en
2018
Vol 51 (4)
Vol. 51
DOI: 10.1183/13993003.00263-2018

Get instant academic access to this publication’s datasets.

Create free accountHow it works

Frequently asked questions

Is access really free for academics and students?

Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.

How is my data protected?

Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.

Can I request additional materials?

Yes, message the author after sign-up to request supplementary files or replication code.

Advance your research today

Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.

Get free academic accessLearn more
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaboration
Access Research Data

Join our academic network to download verified datasets and collaborate with researchers worldwide.

Get Free Access
Institutional SSO
Secure
This PDF is not available in different languages.
No localized PDFs are currently available.
Peter J Barnes
Peter J Barnes

Imperial College London

Verified
Dave Singh
Peter J Barnes
Robert A. Stockley
+3 more

Abstract

Chronic obstructive pulmonary disease (COPD) is a heterogeneous condition with considerable pathophysiological and clinical variability across patients [1]. For this reason, the current Global Initiative for the Management of Chronic Obstructive Lung Disease (GOLD) report recommends an individualised treatment approach for patients with a diagnosis of COPD that has been established by appropriate clinical and spirometric criteria [2]. This approach is based on symptom severity and exacerbation history (which predicts future exacerbation risk) [2], and categorises patients into four "phenotypic" groups (A, B, C or D) [2, 3]. Each group has distinct pharmacological treatment algorithms where the clinical response to treatment (improvement, no change or deterioration) is used to escalate, de-escalate or switch treatment. It is straightforward in treatment-naïve individuals seen at initial presentation by healthcare workers but it may become more complex and cumbersome during follow-up . GOLD ABCD should be used for initial assessment and treatment, but follow-up treatment should focus on treatable traits While the authors are members of the GOLD science committee, this article is not part of the GOLD report. The views expressed here are the personal opinions of the authors.

How to cite this publication

Dave Singh, Peter J Barnes, Robert A. Stockley, Maria Victorina Lopez Valera, Claus Vogelmeier, Àlvar Agustí (2018). Pharmacological treatment of COPD: the devil is always in the detail. , 51(4), DOI: https://doi.org/10.1183/13993003.00263-2018.

Related publications

Why join Raw Data Library?

Quality

Datasets shared by verified academics with rich metadata and previews.

Control

Authors choose access levels; downloads are logged for transparency.

Free for Academia

Students and faculty get instant access after verification.

Publication Details

Type

Editorial Material

Year

2018

Authors

6

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1183/13993003.00263-2018

Join Research Community

Access datasets from 50,000+ researchers worldwide with institutional verification.

Get Free Access