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Blood Specimen Biomarkers of Inflammation, Matrix Degradation, Angiogenesis, and Cardiac Involvement: a Future Useful Tool in Assessing Clinical Outcomes of COPD Patients in Clinical Practice?

Overview of attention for article published in Archivum Immunologiae et Therapiae Experimentalis, May 2013
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Title
Blood Specimen Biomarkers of Inflammation, Matrix Degradation, Angiogenesis, and Cardiac Involvement: a Future Useful Tool in Assessing Clinical Outcomes of COPD Patients in Clinical Practice?
Published in
Archivum Immunologiae et Therapiae Experimentalis, May 2013
DOI 10.1007/s00005-013-0237-y
Pubmed ID
Authors

Sabina Skrgat Kristan

Abstract

Chronic obstructive pulmonary disease (COPD) is characterized by airflow limitation that is not fully reversible; this airflow limitation is both progressive and associated with an abnormal inflammatory response of the lung to noxious particles or gasses. COPD is undoubtedly an umbrella term, and it seems unlikely that all patients with COPD have the same underlying disease processes; thus, there is a need for differential treatment of different subgroups. A potential solution is to find modifiable biomarkers that can assist in drug development and distinguish subgroups of COPD. With the exception of lung function tests, there are currently no well-validated biomarkers or surrogate endpoints that can be used to establish the efficacy of a drug for COPD. This article discusses biomarkers of inflammation (fibrinogen, C-reactive protein, pulmonary and activation-regulated chemokine/CC-chemokine ligand-18, serum surfactant protein D, interleukin (IL)-6, IL-8 and tumor necrosis factor α, complement factor C5a), angiogenesis factors as a part of the pathogenetic aspect in this disease (vascular endothelial growth factor, angiogenin, and IL-8), and matrix degradation biomarkers. Troponin and natriuretic peptides are presented as biomarkers of cardiac involvement in the light of COPD comorbidities. Trials based on research on known clinical variables such as FEV1, BODE, and 6MWT in combination with biomarkers from lung and blood specimens will probably clarify part of the prognosis and natural history of the disease. This will also represent an additional step in COPD phenotyping and new treatment possibilities.

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The data shown below were collected from the profiles of 3 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 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Korea, Republic of 1 2%
Unknown 41 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 26%
Student > Master 6 14%
Student > Postgraduate 4 10%
Student > Bachelor 3 7%
Student > Ph. D. Student 3 7%
Other 9 21%
Unknown 6 14%
Readers by discipline Count As %
Medicine and Dentistry 17 40%
Agricultural and Biological Sciences 5 12%
Nursing and Health Professions 2 5%
Pharmacology, Toxicology and Pharmaceutical Science 2 5%
Computer Science 2 5%
Other 5 12%
Unknown 9 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 27 May 2013.
All research outputs
#14,170,673
of 22,711,242 outputs
Outputs from Archivum Immunologiae et Therapiae Experimentalis
#218
of 386 outputs
Outputs of similar age
#109,492
of 195,245 outputs
Outputs of similar age from Archivum Immunologiae et Therapiae Experimentalis
#3
of 4 outputs
Altmetric has tracked 22,711,242 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 386 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 41st percentile – i.e., 41% of its peers scored the same or lower than it.
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 195,245 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.