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Prevalence of asthma–COPD overlap syndrome among primary care asthmatics with a smoking history: a cross-sectional study

Overview of attention for article published in npj Primary Care Respiratory Medicine, July 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)

Mentioned by

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15 tweeters
facebook
2 Facebook pages

Citations

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49 Dimensions

Readers on

mendeley
47 Mendeley
Title
Prevalence of asthma–COPD overlap syndrome among primary care asthmatics with a smoking history: a cross-sectional study
Published in
npj Primary Care Respiratory Medicine, July 2015
DOI 10.1038/npjpcrm.2015.47
Pubmed ID
Authors

Toni Kiljander, Timo Helin, Kari Venho, Antero Jaakkola, Lauri Lehtimäki

Abstract

The overlap between asthma and chronic obstructive pulmonary disease (COPD) is an important clinical phenomenon. However, the prevalence of asthma-COPD overlap syndrome (ACOS) is not known. To investigate the prevalence of ACOS among asthmatic patients with a smoking history, and evaluate the factors predicting ACOS in this patient group. We investigated 190 primary care asthma patients with no previous diagnosis of COPD, but who were either current or ex-smokers, with a smoking history of at least 10 pack-years. Spirometry was performed on all the patients while they were taking their normal asthma medication. Patients were considered to have ACOS if their postbronchodilator forced expiratory volume in 1 s/forced vital capacity was <0.70. Fifty-two (27.4%) of the patients were found to have ACOS. Age ⩾60 years and smoking for ⩾20 pack-years were the best predictors of ACOS. If both of these criteria were met, the odds ratio (95% confidence interval) for ACOS was 6.08 (2.11-17.49), compared with the situation where neither of these criteria were fulfilled. There is a high prevalence of ACOS among primary health care asthmatics with a positive smoking history but no previous diagnosis of COPD. In this population, age over 60 years and a smoking history of more than 20 pack-years were the best predictors of ACOS.

Twitter Demographics

The data shown below were collected from the profiles of 15 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Australia 1 2%
Unknown 45 96%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 9 19%
Student > Doctoral Student 7 15%
Student > Master 6 13%
Other 5 11%
Student > Postgraduate 5 11%
Other 12 26%
Unknown 3 6%
Readers by discipline Count As %
Medicine and Dentistry 27 57%
Nursing and Health Professions 8 17%
Computer Science 2 4%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Mathematics 1 2%
Other 3 6%
Unknown 5 11%

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 16 March 2016.
All research outputs
#3,231,973
of 18,013,534 outputs
Outputs from npj Primary Care Respiratory Medicine
#167
of 393 outputs
Outputs of similar age
#37,070
of 189,255 outputs
Outputs of similar age from npj Primary Care Respiratory Medicine
#1
of 1 outputs
Altmetric has tracked 18,013,534 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 393 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.0. This one has gotten more attention than average, scoring higher than 56% 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 189,255 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them