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Attention Score in Context
| 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. |
Mendeley readers
The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 39 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 15% |
| Student > Doctoral Student | 6 | 15% |
| Student > Bachelor | 4 | 10% |
| Student > Postgraduate | 4 | 10% |
| Researcher | 3 | 8% |
| Other | 7 | 18% |
| Unknown | 9 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 19 | 49% |
| Engineering | 4 | 10% |
| Biochemistry, Genetics and Molecular Biology | 2 | 5% |
| Economics, Econometrics and Finance | 1 | 3% |
| Psychology | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 11 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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
#4,356,998
of 23,576,969 outputs
Outputs from Acta Diabetologica
#136
of 953 outputs
Outputs of similar age
#82,562
of 328,431 outputs
Outputs of similar age from Acta Diabetologica
#5
of 30 outputs
Altmetric has tracked 23,576,969 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 953 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done well, scoring higher than 82% 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 328,431 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 73% of its contemporaries.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.