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Can we predict the prognosis of COPD with a routine blood test?

Overview of attention for article published in International Journal of Chronic Obstructive Pulmonary Disease, February 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

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1 policy source
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5 X users

Citations

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68 Dimensions

Readers on

mendeley
100 Mendeley
Title
Can we predict the prognosis of COPD with a routine blood test?
Published in
International Journal of Chronic Obstructive Pulmonary Disease, February 2017
DOI 10.2147/copd.s124041
Pubmed ID
Authors

Wei Xiong, Mei Xu, Yunfeng Zhao, Xueling Wu, Bigyan Pudasaini, Jin-ming Liu

Abstract

The major characteristic of COPD is systemic inflammation. The parameters such as neutrophil-to-lymphocyte ratio (NLR) and eosinophil-to-basophil ratio (EBR) in routine blood test (RBT) are considered to be the underlying biomarkers of inflammation. We hypothesized that the prognosis of patients with COPD can be predicted with RBT. Patients with COPD in stable stage were enrolled. The RBT, pulmonary function testing (PFT), BODE index, C-reactive protein (CRP), procalcitonin, and erythrocyte sedimentation rate (ESR) were performed at enrollment and every follow-up once in every 3 months during the 24-month follow-up period. Meanwhile, exacerbation count and mortality incidence were recorded. The correlation between the prognostic biomarkers and the prognosis of patients was analyzed. The NLR and EBR in RBT have a significant correlation with the severity of patients with COPD. The NLR is an independent predictor for mortality and the EBR is an independent predictor for exacerbation. As an inexpensive, accessible, and convenient assay, RBT may be used as a practical means in the prediction of prognosis of patients with COPD in future clinical settings.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 100 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 11%
Student > Master 11 11%
Student > Bachelor 11 11%
Student > Postgraduate 10 10%
Student > Ph. D. Student 7 7%
Other 14 14%
Unknown 36 36%
Readers by discipline Count As %
Medicine and Dentistry 44 44%
Nursing and Health Professions 6 6%
Immunology and Microbiology 4 4%
Pharmacology, Toxicology and Pharmaceutical Science 3 3%
Biochemistry, Genetics and Molecular Biology 2 2%
Other 5 5%
Unknown 36 36%
Attention Score in Context

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 04 December 2018.
All research outputs
#4,758,140
of 25,584,565 outputs
Outputs from International Journal of Chronic Obstructive Pulmonary Disease
#555
of 2,571 outputs
Outputs of similar age
#87,973
of 426,137 outputs
Outputs of similar age from International Journal of Chronic Obstructive Pulmonary Disease
#20
of 79 outputs
Altmetric has tracked 25,584,565 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,571 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 done well, scoring higher than 78% 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 426,137 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 79% of its contemporaries.
We're also able to compare this research output to 79 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.