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Prediction models for exacerbations in different COPD patient populations: comparing results of five large data sources

Overview of attention for article published in International Journal of Chronic Obstructive Pulmonary Disease, November 2017
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  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

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Citations

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78 Mendeley
Title
Prediction models for exacerbations in different COPD patient populations: comparing results of five large data sources
Published in
International Journal of Chronic Obstructive Pulmonary Disease, November 2017
DOI 10.2147/copd.s142378
Pubmed ID
Authors

Martine Hoogendoorn, Talitha L Feenstra, Melinde Boland, Andrew H Briggs, Sixten Borg, Sven-Arne Jansson, Nancy A Risebrough, Julia F Slejko, Maureen PMH Rutten-van Mölken

Abstract

Exacerbations are important outcomes in COPD both from a clinical and an economic perspective. Most studies investigating predictors of exacerbations were performed in COPD patients participating in pharmacological clinical trials who usually have moderate to severe airflow obstruction. This study was aimed to investigate whether predictors of COPD exacerbations depend on the COPD population studied. A network of COPD health economic modelers used data from five COPD data sources - two population-based studies (COPDGene(®) and The Obstructive Lung Disease in Norrbotten), one primary care study (RECODE), and two studies in secondary care (Evaluation of COPD Longitudinally to Identify Predictive Surrogate Endpoint and UPLIFT) - to estimate and validate several prediction models for total and severe exacerbations (= hospitalization). The models differed in terms of predictors (depending on availability) and type of model. FEV1% predicted and previous exacerbations were significant predictors of total exacerbations in all five data sources. Disease-specific quality of life and gender were predictors in four out of four and three out of five data sources, respectively. Age was significant only in the two studies including secondary care patients. Other significant predictors of total exacerbations available in one database were: presence of cough and wheeze, pack-years, 6-min walking distance, inhaled corticosteroid use, and oxygen saturation. Predictors of severe exacerbations were in general the same as for total exacerbations, but in addition low body mass index, cardiovascular disease, and emphysema were significant predictors of hospitalization for an exacerbation in secondary care patients. FEV1% predicted, previous exacerbations, and disease-specific quality of life were predictors of exacerbations in patients regardless of their COPD severity, while age, low body mass index, cardiovascular disease, and emphysema seem to be predictors in secondary care patients only.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 78 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 17%
Student > Master 9 12%
Student > Ph. D. Student 7 9%
Professor 5 6%
Student > Doctoral Student 4 5%
Other 17 22%
Unknown 23 29%
Readers by discipline Count As %
Medicine and Dentistry 23 29%
Nursing and Health Professions 5 6%
Economics, Econometrics and Finance 5 6%
Pharmacology, Toxicology and Pharmaceutical Science 4 5%
Computer Science 2 3%
Other 12 15%
Unknown 27 35%
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 23 July 2018.
All research outputs
#14,477,297
of 25,382,440 outputs
Outputs from International Journal of Chronic Obstructive Pulmonary Disease
#1,213
of 2,578 outputs
Outputs of similar age
#164,650
of 340,752 outputs
Outputs of similar age from International Journal of Chronic Obstructive Pulmonary Disease
#32
of 74 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,578 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 52% 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 340,752 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 51% of its contemporaries.
We're also able to compare this research output to 74 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 56% of its contemporaries.