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Diabetes and the occurrence of infection in primary care: a matched cohort study

Overview of attention for article published in BMC Infectious Diseases, February 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

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3 news outlets
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16 X users

Citations

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68 Dimensions

Readers on

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141 Mendeley
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Title
Diabetes and the occurrence of infection in primary care: a matched cohort study
Published in
BMC Infectious Diseases, February 2018
DOI 10.1186/s12879-018-2975-2
Pubmed ID
Authors

Waseem Abu-Ashour, Laurie K Twells, James E Valcour, John-Michael Gamble

Abstract

People with diabetes may be at higher risk for acquiring infections through both glucose-dependent and biologic pathways independent of glycemic control. Our aim was to estimate the association between diabetes and infections occurring in primary care. Using the Newfoundland and Labrador Sentinel of the Canadian Primary Care Sentinel Surveillance Network, patients with diabetes ≥18 years between 1 January 2008 and 31 March 2013 were included with at least 1-year of follow-up. We randomly matched each patient with diabetes on the date of study entry with up to 8 controls without diabetes. Primary outcome was the occurrence of ≥1 primary care physician visits for any infectious disease. Secondary outcomes included primary visits for head & neck, respiratory, gastrointestinal, genitourinary, skin and soft tissue, musculoskeletal, and viral infections. Using multivariable conditional logistic regression analysis, we measured the independent association between diabetes and the occurrence of infections. We identified 1779 patients with diabetes who were matched to 11,066 patients without diabetes. Patients with diabetes were older, had a higher prevalence of comorbidities, and were more often referred to specialists. After adjusting for potential confounders, patients with diabetes had an increased risk of any infection compared to patients without diabetes (adjusted odds ratio = 1.21, 95% confidence interval 1.07-1.37). Skin and soft tissue infections had the strongest association, followed by genitourinary, gastrointestinal, and respiratory infections. Diabetes was not associated with head and neck, musculoskeletal, or viral infections. Patients with diabetes appear to have an increased risk of certain infections compared to patients without diabetes.

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X Demographics

The data shown below were collected from the profiles of 16 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 141 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 141 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 11%
Student > Master 15 11%
Student > Ph. D. Student 13 9%
Student > Bachelor 9 6%
Student > Doctoral Student 9 6%
Other 28 20%
Unknown 51 36%
Readers by discipline Count As %
Medicine and Dentistry 41 29%
Nursing and Health Professions 9 6%
Social Sciences 8 6%
Immunology and Microbiology 7 5%
Biochemistry, Genetics and Molecular Biology 6 4%
Other 16 11%
Unknown 54 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 33. 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 13 April 2024.
All research outputs
#1,235,349
of 25,708,267 outputs
Outputs from BMC Infectious Diseases
#285
of 8,688 outputs
Outputs of similar age
#28,632
of 448,169 outputs
Outputs of similar age from BMC Infectious Diseases
#3
of 151 outputs
Altmetric has tracked 25,708,267 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,688 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one has done particularly well, scoring higher than 96% 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 448,169 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 151 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.