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Monitoring diabetes in patients with and without rheumatoid arthritis: a Medicare study

Overview of attention for article published in Arthritis Research & Therapy, July 2012
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Title
Monitoring diabetes in patients with and without rheumatoid arthritis: a Medicare study
Published in
Arthritis Research & Therapy, July 2012
DOI 10.1186/ar3915
Pubmed ID
Authors

Christie M Bartels, Jessica M Saucier, Carolyn T Thorpe, Amy JH Kind, Nancy Pandhi, Karen E Hansen, Maureen A Smith

Abstract

ABSTRACT: INTRODUCTION: Diabetes mellitus is a key predictor of mortality in rheumatoid arthritis (RA) patients. Both RA and diabetes increase the risk of cardiovascular disease (CVD), yet understanding of how comorbid RA impacts the receipt of guideline-based diabetes care is limited. The purpose of this study was to examine how the presence of RA affected hemoglobin A1C (A1c) and lipid measurement in older adults with diabetes. METHODS: Using a retrospective cohort approach, we identified beneficiaries ≥65 years old with diabetes from a 5% random national sample of 2004 to 2005 Medicare patients (N = 256,331), then examined whether these patients had comorbid RA and whether they received guideline recommended A1c and lipid testing in 2006. Multivariate logistic regression was used to examine the effect of RA on receiving guideline recommended testing, adjusting for baseline sociodemographics, comorbidities and health care utilization. RESULTS: Two percent of diabetes patients had comorbid RA (N = 5,572). Diabetes patients with comorbid RA were more likely than those without RA to have baseline cardiovascular disease (such as 17% more congestive heart failure), diabetes-related complications including kidney disease (19% higher), lower extremity ulcers (77% higher) and peripheral vascular disease (32% higher). In adjusted models, diabetes patients with RA were less likely to receive recommended A1c testing (odds ratio (OR) 0.84, CI 0.80 to 0.89) than those without RA, but were slightly more likely to receive lipid testing (OR 1.08, CI 1.01 to 1.16). CONCLUSIONS: In older adults with diabetes, the presence of comorbid RA predicted lower rates of A1c testing but slightly improved lipid testing. Future research should examine strategies to improve A1c testing in patients with diabetes and RA, in light of increased CVD and microvascular risks in patients with both conditions.

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The data shown below were collected from the profiles of 3 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 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 2%
Unknown 60 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 16%
Student > Bachelor 7 11%
Student > Ph. D. Student 6 10%
Student > Master 6 10%
Student > Doctoral Student 5 8%
Other 15 25%
Unknown 12 20%
Readers by discipline Count As %
Medicine and Dentistry 29 48%
Nursing and Health Professions 5 8%
Pharmacology, Toxicology and Pharmaceutical Science 3 5%
Computer Science 3 5%
Agricultural and Biological Sciences 2 3%
Other 4 7%
Unknown 15 25%
Attention Score in Context

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 19 July 2012.
All research outputs
#16,722,190
of 25,374,917 outputs
Outputs from Arthritis Research & Therapy
#2,443
of 3,381 outputs
Outputs of similar age
#113,872
of 178,036 outputs
Outputs of similar age from Arthritis Research & Therapy
#46
of 60 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,381 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.2. This one is in the 25th percentile – i.e., 25% of its peers scored the same or lower than it.
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 178,036 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 60 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.