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Evaluation of the COPD Assessment Test and GOLD patient types: a cross-sectional analysis

Overview of attention for article published in International Journal of Chronic Obstructive Pulmonary Disease, May 2015
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

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1 tweeter
facebook
1 Facebook page
googleplus
1 Google+ user

Citations

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11 Dimensions

Readers on

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36 Mendeley
Title
Evaluation of the COPD Assessment Test and GOLD patient types: a cross-sectional analysis
Published in
International Journal of Chronic Obstructive Pulmonary Disease, May 2015
DOI 10.2147/copd.s82781
Pubmed ID
Authors

José Luis López-Campos, Alberto Fernandez-Villar, Carmen Calero-Acuña, Cristina Represas-Represas, Cecilia Lopez-Ramirez, Virginia Leiro-Fernandez, Juan José Soler-Cataluña, Ricard Casamor

Abstract

The COPD Assessment Test (CAT) has been recently developed to quantify COPD impact in routine practice. However, no relationship with other measures in the Global Initiative for Obstructive Lung Disease (GOLD) strategy has been evaluated. The present study aimed to evaluate the relationship of the CAT with other GOLD multidimensional axes, patient types, and the number of comorbidities. This was a cross-sectional analysis of the Clinical presentation, diagnosis, and course of chronic obstructive pulmonary disease (On-Sint) study. The CAT score was administered to all participants at the inclusion visit. A GOLD 2011 strategy consisting of modified Medical Research Council scale (MRC) scores was devised to study the relationship between the CAT, and GOLD 2011 axes and patient types. The relationship with comorbidities was assessed using the Charlson comorbidity index, grouped as zero, one to two, and three or more. The CAT questionnaire was completed by 1,212 patients with COPD. The CAT maintained a relationship with all the three axes, with a ceiling effect for dyspnea and no distinction between mild and moderate functional impairment. The CAT score increased across GOLD 2011 patient types A-D, with similar scores for types B and C. Within each GOLD 2011 patient type, there was a considerably wide distribution of CAT values. Our study indicates a correlation between CAT and the GOLD 2011 classification axes as well as the number of comorbidities. The CAT score can help clinicians, as a complementary tool to evaluate patients with COPD within the different GOLD patient types.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
Unknown 35 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 22%
Student > Master 7 19%
Other 5 14%
Student > Ph. D. Student 5 14%
Professor 5 14%
Other 5 14%
Unknown 1 3%
Readers by discipline Count As %
Medicine and Dentistry 18 50%
Agricultural and Biological Sciences 4 11%
Nursing and Health Professions 3 8%
Biochemistry, Genetics and Molecular Biology 2 6%
Computer Science 1 3%
Other 5 14%
Unknown 3 8%

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 11 June 2015.
All research outputs
#2,319,510
of 5,218,786 outputs
Outputs from International Journal of Chronic Obstructive Pulmonary Disease
#239
of 636 outputs
Outputs of similar age
#77,973
of 174,027 outputs
Outputs of similar age from International Journal of Chronic Obstructive Pulmonary Disease
#9
of 44 outputs
Altmetric has tracked 5,218,786 research outputs across all sources so far. This one has received more attention than most of these and is in the 54th percentile.
So far Altmetric has tracked 636 research outputs from this source. They receive a mean Attention Score of 3.3. This one has gotten more attention than average, scoring higher than 60% 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 174,027 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 53% of its contemporaries.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.