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FRAX tool in type 2 diabetic subjects: the use of HbA1c in estimating fracture risk

Overview of attention for article published in Acta Diabetologica, July 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#41 of 538)
  • High Attention Score compared to outputs of the same age (80th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

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1 news outlet
twitter
1 tweeter

Citations

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1 Dimensions

Readers on

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20 Mendeley
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Title
FRAX tool in type 2 diabetic subjects: the use of HbA1c in estimating fracture risk
Published in
Acta Diabetologica, July 2018
DOI 10.1007/s00592-018-1187-y
Pubmed ID
Authors

Alessia Valentini, Maria Assunta Cianfarani, Livia De Meo, Pasquale Morabito, Daniele Romanello, Umberto Tarantino, Massimo Federici, Aldo Bertoli

Abstract

Patients with type 2 diabetes mellitus (T2DM) have an increased risk of fractures, despite having greater bone mineral density (BMD) than non-diabetic subjects. This has led to the hypothesis that the presence of impaired bone quality among diabetics reduces bone strength. The Fracture Risk Assessment Score (FRAX) algorithm, introduced to facilitate the evaluation of fracture risk, underestimates the risk of fracture in diabetic patients. The purpose of this study is to confirm the relationship between the degree of metabolic compensation and the 10-year probability of a major fracture or a hip osteoporotic fracture observed in our previous study and to ascertain whether glycosylated hemoglobin (HbA1c) can improve the predictive value of FRAX in patients with T2DM. Our data derive from a retrospective clinical study conducted at the "Tor Vergata" Polyclinic in Rome on 6355 subjects over 50 years of age evaluated for osteoporosis. All available clinical records were examined. HbA1c was available for 242 of these subjects and all had had a Dual-energy X-ray Absorption (DXA) scan of the lumbar spine and femoral neck. The risk of fracture was estimated using the Italian version of the FRAX algorithm. Patients with T2DM had BMD and T-scores higher than those of non-diabetic subjects, while FRAX average values were higher in the non-diabetic group. HbA1c and FRAX are inversely correlated with each other: for each incremental percentage point of HbA1c growth, the FRAX major osteoporotic fracture probability is reduced by 0.915 points and the FRAX hip osteoporotic fracture probability by 1.438 points. The introduction of a correction factor derived from HbA1c, resulted in mean FRAX values of diabetic patients equivalent to those of non-diabetic subjects. We propose a correction factor derived from HbA1c that could enhance the predictive ability of fracture risk estimated by the FRAX algorithm in subjects with T2DM.

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 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 40%
Unspecified 2 10%
Student > Doctoral Student 2 10%
Student > Postgraduate 2 10%
Researcher 1 5%
Other 5 25%
Readers by discipline Count As %
Medicine and Dentistry 14 70%
Engineering 3 15%
Unspecified 2 10%
Economics, Econometrics and Finance 1 5%

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 06 August 2018.
All research outputs
#1,573,705
of 13,333,056 outputs
Outputs from Acta Diabetologica
#41
of 538 outputs
Outputs of similar age
#51,660
of 266,893 outputs
Outputs of similar age from Acta Diabetologica
#3
of 20 outputs
Altmetric has tracked 13,333,056 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 538 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done particularly well, scoring higher than 92% 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 266,893 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 80% of its contemporaries.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.