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The asthma–COPD overlap syndrome: do we really need another syndrome in the already complex matrix of airway disease?

Overview of attention for article published in International Journal of Chronic Obstructive Pulmonary Disease, June 2016
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  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

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58 Mendeley
Title
The asthma–COPD overlap syndrome: do we really need another syndrome in the already complex matrix of airway disease?
Published in
International Journal of Chronic Obstructive Pulmonary Disease, June 2016
DOI 10.2147/copd.s107307
Pubmed ID
Authors

Konstantinos Kostikas, Andreas Clemens, Francesco Patalano

Abstract

The term asthma-COPD overlap syndrome (ACOS) is one of multiple terms used to describe patients with characteristics of both COPD and asthma, representing ~20% of patients with obstructive airway diseases. The recognition of both sets of morbidities in patients is important to guide practical treatment decisions. It is widely recognized that patients with COPD and coexisting asthma present with a higher disease burden, despite the conceptual expectation that the "reversible" or "treatable" component of asthma would allow for more effective management and better outcomes. However, subcategorization into terms such as ACOS is complicated by the vast spectrum of heterogeneity that is encapsulated by asthma and COPD, resulting in different clinical clusters. In this review, we discuss the possibility that these different clusters are suboptimally described by the umbrella term "ACOS", as this additional categorization may lead to clinical confusion and potential inappropriate use of resources. We suggest that a more clinically relevant approach would be to recognize the extreme variability and the numerous phenotypes encompassed within obstructive airway diseases, with various degrees of overlapping in individual patients. In addition, we discuss some of the evidence to be considered when making practical decisions on the treatment of patients with overlapping characteristics between COPD and asthma, as well as the potential options for phenotype and biomarker-driven management of airway disease with the aim of providing more personalized treatment for patients. Finally, we highlight the need for more evidence in patients with overlapping disease characteristics and to facilitate better characterization of potential treatment responders.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 2%
Canada 1 2%
Unknown 56 97%

Demographic breakdown

Readers by professional status Count As %
Other 14 24%
Researcher 10 17%
Student > Master 7 12%
Student > Bachelor 4 7%
Student > Ph. D. Student 4 7%
Other 10 17%
Unknown 9 16%
Readers by discipline Count As %
Medicine and Dentistry 31 53%
Pharmacology, Toxicology and Pharmaceutical Science 8 14%
Agricultural and Biological Sciences 2 3%
Nursing and Health Professions 1 2%
Immunology and Microbiology 1 2%
Other 1 2%
Unknown 14 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 10 August 2017.
All research outputs
#8,614,141
of 25,576,275 outputs
Outputs from International Journal of Chronic Obstructive Pulmonary Disease
#1,060
of 2,585 outputs
Outputs of similar age
#129,234
of 354,169 outputs
Outputs of similar age from International Journal of Chronic Obstructive Pulmonary Disease
#35
of 83 outputs
Altmetric has tracked 25,576,275 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,585 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one has gotten more attention than average, scoring higher than 54% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 354,169 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 83 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.